Data Engineer Jobs

Data Engineer

Pantheon Data

Washington, DC

Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies. Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions. Responsibilities Design and implement ETL/ELT pipelines. Develop cloud-based data solutions. Build API integrations and automated data workflows. Troubleshoot and optimize data pipelines. Support metadata management and data governance initiatives. Collaborate with analysts, data scientists, and stakeholders. Required Skills and Experience Bachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field. AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent certification. 4 years of data engineering experience, or 3 years with a Master's degree. Ability to work effectively remotely in cross-functional teams. Ability to meet deadlines and produce quality work. Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint. Clearance Requirements Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Ability to obtain Public Trust prior to hire and maintain during employment is required. Work Location: Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.) Hybrid work schedule. Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site. If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements. Compensation The salary range for this position is $80,000 - $120,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity. In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/ Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020. This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster

Senior Data Engineer

Data Edge

United States

We are looking for an experienced Senior Data Engineerto join our partner's team, contributing to the design, development, and optimization of scalable data solutions. You will work with modern data technologies to build and maintain reliable data pipelines, transform complex datasets, and support data analytics and visualization initiatives. Contract type: B2B Work model: Fully Remote Key Responsibilities Design, develop, and maintain ETL processes and data pipelines to support business and analytical requirements. Develop and optimize complex SQL queries for data extraction, transformation, and processing. Use Python to automate data workflows, implement data processing logic, and improve operational efficiency. Work with Snowflake to manage, transform, and optimize data for analytical use cases. Build and maintain scalable and reliable data integration solutions. Ensure data quality, consistency, and integrity across data pipelines and processing workflows. Support data visualization and reporting initiatives using Tableau and Highcharts. Collaborate with data analysts, developers, and business stakeholders to deliver effective data solutions. Troubleshoot data pipeline issues and optimize performance, scalability, and resource utilization. Document data architectures, workflows, and technical implementations. Requirements Proven professional experience as a Senior Data Engineer or in a similar data engineering role. Strong hands-on experience with ETL development and data pipeline management. Advanced SQL skills, including query development and performance optimization. Strong Python programming and scripting skills. Experience with Snowflake and cloud-based data warehousing concepts. Familiarity with data visualization tools such as Tableau and Highcharts. Good understanding of data modeling, data integration, and data quality principles. Strong analytical, problem-solving, and troubleshooting skills. Good communication and collaboration skills. Ability to work independently and effectively within a distributed team. Originally posted on Himalayas

Senior Oracle Data Engineer

NTT Data

Plano, TX

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Oracle Data Engineer - Onsite to join our team in Plano, Texas (US-TX), United States (US). We are seeking a Senior Oracle Data Engineer to design, build, and support enterprise data solutions that power critical business applications and analytics. In this role, you'll develop scalable ETL pipelines, optimize Oracle databases, automate data workflows, and collaborate with cross-functional teams on data integration and modernization initiatives. If you're passionate about data engineering, performance optimization, automation, and cloud transformation, we'd love to hear from you. Job Responsibilities Include: Design, develop, and maintain complex Oracle SQL and PL/SQL solutions, including stored procedures, packages, functions, and triggers. Build, enhance, and support ETL workflows using Informatica PowerCenter . Develop automation solutions using Python and Unix Shell scripting . Implement source code management and CI/CD best practices using GitHub, GitOps, and Jenkins . Manage and monitor batch processing using Control-M and AutoSys . Optimize Oracle databases for performance, scalability, and reliability. Support reporting and analytics by delivering high-quality datasets for OBIEE/OAS and other BI platforms. Collaborate with business users, architects, and application teams to deliver scalable data solutions. Troubleshoot ETL, database, and production data issues while ensuring data quality and integrity. Create and maintain technical documentation, including ETL mappings, data flows, deployment procedures, and operational documentation. Participate in code reviews, data architecture discussions, and continuous improvement initiatives. Support data migration, modernization, and cloud transformation projects while ensuring compliance with security and data governance standards. Basic Qualifications 5+ years of experience developing complex Oracle SQL queries and PL/SQL (packages, stored procedures, functions, and triggers). 5+ years of hands-on experience with Informatica PowerCenter . 5+ years of experience with Python and Unix Shell scripting in a data engineering environment. 6+ years of experience working with Oracle Database , including performance tuning and optimization. Preferred Experience: Strong understanding of data warehousing , dimensional modeling , and ETL best practices. Experience building scalable data integration solutions across both cloud and on-premises environments. Experience with enterprise scheduling tools such as Control-M and AutoSys . Experience using GitHub , GitOps , and Jenkins for source control and deployment automation. Experience supporting business intelligence platforms such as OBIEE/OAS . Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills with both technical and business stakeholders. Experience with cloud data platforms and modernization initiatives. Knowledge of data governance, security, and regulatory best practices. Experience working in Agile development environments. What You'll Bring A passion for building scalable, high-performance data solutions. Strong expertise in Oracle database development and ETL engineering. A continuous improvement mindset with a focus on automation and operational excellence. The ability to deliver reliable, high-quality data solutions in a fast-paced enterprise environment. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $102,675 - $171,125 per annum. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. #L1-NorthAmerica About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us . NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Intermediate-Senior Snowflake Data Engineer

KData Inc.

United States

This is a remote position. Job Title Intermediate–Senior Data Engineer (Snowflake) Details Location: Remote (Candidates must be based in Canada) Job Type: Contract Experience Level: Intermediate to Senior Start Date: ASAP Initial Duration: 6 months with strong renewal possibility Rate: $75-80/hr About the Role: We are seeking a highly skilled Data Engineer with strong hands-on experience in Snowflake to join our growing data team. This role is ideal for a professional who not only thrives in data engineering but also brings some data architecture understanding to help shape scalable data solutions. You’ll work closely with data analysts, architects, and product teams to design and implement robust data pipelines, data models, and Snowflake-based architectures. This is a remote position, but candidates must be located within Canada for data residency and compliance purposes. Key Responsibilities: Design, develop, and maintain efficient and scalable ETL/ELT data pipelines on Snowflake Work with large volumes of structured and semi-structured data Design and implement data models and schemas in Snowflake to support reporting, analytics, and ML use cases Collaborate with data architects to align with long-term data strategy and architecture standards Ensure data quality, governance, and security across all solutions Optimize Snowflake performance and cost through effective resource management Automate data pipeline deployment, testing, and monitoring Mentor junior team members and participate in code reviews Requirements Required Qualifications: 3–7 years of experience in Data Engineering Proven expertise in Snowflake: warehousing concepts, performance tuning, Snowpipe, Streams & Tasks Experience building data pipelines using tools like DBT, Apache Airflow, or equivalent Proficient in SQL and scripting languages (e.g., Python) Familiar with cloud platforms (AWS preferred) Basic to intermediate understanding of data architecture principles and best practices Experience with CI/CD pipelines and version control (e.g., Git) Strong understanding of data governance, security, and compliance standards Excellent communication and collaboration skills Must be legally authorized to work in Canada and reside within Canada Nice to Have Snowflake certification (SnowPro Core or Advanced) Experience with real-time data processing (Kafka, Kinesis, etc.) Exposure to data visualization tools (e.g., Looker, Power BI, Tableau) Experience working in an Agile environment Originally posted on Himalayas

Senior Data Operations Engineer - 26-02458 Hybrid/Onsite in Auburn Hills, MI 3+ Months Duration Temp W2 Only - No C2C NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Data Operations Engineer to join our team in Auburn Hills, Michigan (US-MI), United States (US). Job Description: Senior Data Operations Engineer Reports To: Data Operations Manager Location: Hybrid (Auburn Hills) Experience Level: Senior (8+ years of operational support experience) Position Summary We are seeking a Senior Data Operations Engineer with 8+ years of hands-on operational support experience to own and maintain batch jobs on our data engineering pipelines. This role owns operational stability of data platforms supporting Volkswagen domains and applications, ensuring reliable delivery, rapid incident resolution, and continuous performance improvement across the data ecosystem. Key Responsibilities Operations & Support Monitor and support batch job execution across data engineering pipelines; proactively identify and resolve failures before they impact business operations. Participate in on-call rotation schedules, providing timely response to production incidents. Own and drive incident management, change ticket, and problem management processes following ITIL best practices. Proactively monitor ticket queues and address assigned items immediately, ensuring SLAs are met. Support administration activities across data platforms, including Tomcat application servers and related infrastructure. Technical Ownership Develop, troubleshoot, and optimize Python and Java code supporting batch and pipeline operations. Identify and resolve performance bottlenecks; implement code and query optimizations for operational efficiency. Support and maintain ETL/ELT data pipelines with deep understanding of data extraction, transformation, loading, and processing patterns end to end. Manage and troubleshoot AWS Glue jobs, crawlers, and workflows supporting pipeline orchestration. Support data storage and database layers including S3 (data lake tables), RDS databases, and query/performance tuning. Support Oracle databases and OLTP systems, including query tuning and operational troubleshooting. Administer and support Cloudera Hadoop ecosystem components including HDFS and Impala for distributed data storage and querying. Work with Apache Spark for large-scale batch and distributed data processing troubleshooting and tuning. Maintain and support BI tools, including Tableau and Power BI, for downstream reporting and analytics consumers. Manage code libraries and dependencies, ensuring version currency and compatibility. Governance, Quality & Security Serve as gate reviewer for code being promoted to production, validating operational readiness and adherence to standards before release. Ensure developers complete required operational validations (testing, documentation, rollback plans) prior to deployment. Work within Git repositories, review pull requests, and enforce branching/merge standards for operational code changes. Identify, track, and remediate security vulnerabilities in a timely manner in coordination with security teams. Support end-to-end product lifecycle management, including deprecation, upgrades, and decommissioning of applications and pipelines. Domain & Business Knowledge Develop deep understanding of Volkswagen domain applications and business processes to inform troubleshooting and support decisions. Partner with business and SME stakeholders to translate operational issues into actionable fixes. Required Skills & Qualifications 8+ years of experience in data operations/production support roles. Proficiency in Python and Java for pipeline support and automation. Strong hands-on experience of 5+ years with AWS services, particularly AWS Glue (jobs, crawlers, catalogs), S3 (data lake table structures), and RDS databases. Working knowledge of Google Cloud Platform cloud platform. Deep experience of 3+ years with Cloudera Hadoop ecosystem: HDFS, Impala, and related components. 5+ years of Experience with Oracle databases and OLTP transactional systems. 3+ years of hands-on experience with Apache Spark for distributed data processing. Strong understanding of ETL/ELT design, processing, and troubleshooting. Working knowledge of BI tools such as Tableau and Power BI, including report/dashboard troubleshooting. Familiarity with Tomcat application server administration. Strong understanding of Git version control, code review, and pull request workflows. Deep knowledge of ITIL framework (incident, change, problem management). Awareness of application security vulnerability management practices. Excellent troubleshooting, analytical, and communication skills. Ability to work in on-call rotation supporting production systems, including senior-level escalation ownership. Preferred Qualifications Prior experience supporting automotive or manufacturing domain applications. Experience acting as a release/gate reviewer in a CI/CD environment. Certifications in AWS, Google Cloud Platform, or Cloudera,. Familiarity with DevSecOps practices is a plus, including containers (Docker), OpenShift environments, Infrastructure as Code with Terraform, SaaS product management, and CI/CD security integration with automated vulnerability scanning and secrets management. Understanding of authentication and identity management platforms such as Microsoft Entra ID and IBM Security Access Manager (ISAM) is a plus. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution. Data Engineer Summary: Lead data architecture and database operations, ensuring reliable, high-performing, and well-governed data services that support contract writing, reporting, modernization, and enterprise data quality through common data models and structures. Required Skills: Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Data Science, Analytics, or a related technical field Relevant certification(s) in data engineering, cloud platforms, databases, Agile methodologies and CompTIA Security+ 4+ Years in data engineering, ETL/ELT, database design/development, data integration, data migration, APIs and data pipelines Experience designing, developing, and supporting solutions using Oracle Database, Amazon RDS for Oracle, PostgreSQL, AWS data services, ETL/ELT technologies Active Secret clearance; ability to obtain Top Secret clearance based on Government requirements. Desired Qualifications: Experience managing data supporting Appian environments Experience with Oracle environments, data warehouse or business intelligence support, phased data migration, contract-related data, and collaboration with architects, developers, and operational stakeholders in federal mission systems is strongly desired Knowledge of data warehousing, reporting feeds, metadata, data lineage, and integration patterns. Oracle certification preferred Responsibilities: Develop and maintain ACWS data pipelines, mappings, integrations, and reporting feeds. Support data migration, transformation, validation, reconciliation, and quality management. Coordinate data requirements with BI, application, architecture, and database teams. Document data flows, transformation logic, assumptions, and validation outcomes. Recommend improvements to data reliability, automation, analytics readiness, and governance #DSA209 #LI-JE1 The posted salary range is a good-faith estimate. Actual compensation will be based on the selected candidate’s qualifications, experience, skills, and other job-related factors. DSA - Salary Pay Range $120,000 — $130,000 USD Many of DSA's positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DSA is proud to be an Equal Opportunity Employer. DSA is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. DSA requires background checks , where permitted , by law. DSA is an E-Verify Employer.

Data Scientist / Deep Learning Engineer

Danta Technologies

Atlanta, GA

Position: Data Scientist / Deep Learning Engineer Location: Atlanta - Alpharetta, GA / Basking Ridge, NJ/ Dallas-Irving, TX (Hybrid/Onsite) Duration : Long term position Important Keywords: Traditional Data Scientist with Deep learning model, Development models & Deployment, end-to-end pipeline, Churn modeling, Propensity modelling, transformers. Candidate should be strong on SQL & Python,PyTorch,PySpark (Production coding), Python, SQL (Strong) day-to-day Queries, GCP, BigQuery, Cloud Technologies We're looking for a Traditional Data Scientist to build and deploy machine learning and deep learning solutions that support business goals. The role spans the full model lifecycle, from data exploration and feature engineering through development, deployment, and monitoring. Responsibilities Build end-to-end data science pipelines, including data preparation, model development, deployment, and monitoring. Develop data models, along with deep learning and transformer-based models. Write and maintain production-quality Python and SQL for day-to-day queries and data analysis. Process large datasets with PySpark and build deep learning solutions using PyTorch. Use GCP and BigQuery to develop and deploy cloud-based data and ML solutions. Collaborate with engineering and business teams to turn requirements into reliable models and actionable insights. Key Technologies Strong, hands-on Python and SQL skills. Experience developing and deploying machine learning and deep learning models in production. Experience with PyTorch, PySpark, and deep learning techniques. Knowledge of Data Modeling, Propensity Modeling, and Transformers. Experience with end-to-end ML pipelines and cloud technologies. Familiarity with GCP and BigQuery. Notes :- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits : Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

Data Center Project Engineer (TFO)

Prime Data Centers

Arizona

About the role The TFO Project Engineer assists the product delivery team in supporting the full lifecycle of mission-critical data center projects, with a specific focus on tenant fit-out and white space deployment activities. This role supports engineering, construction, commissioning, and turnover efforts while ensuring projects are delivered safely, on schedule, within budget, and in compliance with client requirements. The TFO Project Engineer must possess a working knowledge of electrical and mechanical systems commonly found in data center environments. Responsibilities may include generating bills of material, preparing and reviewing submittals, soliciting vendor quotations, performing quantity takeoffs, supporting project documentation, coordinating field activities, and managing engineering records through the Document Management System. What you'll do Collaborate with internal teams and external vendors to design, implement, and commission data center infrastructure projects. Support tenant fit-out projects including white space buildouts, cage installations, structured cabling, rack deployments, and customer-specific infrastructure requirements. Translate technical requirements into project plans, schematics, and documentation. Ensure all work complies with design specifications, industry standards, and safety regulations. Support the deployment of power (UPS, generators, PDUs), cooling (CRAC/CRAH, HVAC), and structured cabling systems. Participate in capacity planning, risk analysis, and impact assessments for changes to the data center environment. Monitor installation progress, troubleshoot issues, and ensure quality control throughout the project lifecycle. Track project milestones, timelines, and budgets in coordination with project managers. Prepare and present technical reports, updates, and recommendations to stakeholders. Assist in vendor selection, procurement, and contractor supervision as needed. Maintain detailed records of system designs, configurations, and installations. Ensure compliance with industry regulations and internal standards. Qualifications Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field; or equivalent experience in a related technical field 3+ years of experience in data center engineering, construction, or operations Strong understanding of mission-critical infrastructure (power, cooling, cabling, network) Familiarity with data center design standards and best practices Proficiency in project tools such as AutoCAD, MS Project, or similar Excellent communication, documentation, and organizational skills Benefits Competitive salary range - $100,000-$120,000 based on candidates' skills and experience, along with an annual bonus program & a capital project bonus 401k up to a 4% employer match that is f ully vested upon enrollment 1 00% employee premiums paid by employer for medical, dental, vision, life insurance, and disability Over 4-weeks of Paid Time Off + Sick time Applications will be accepted on an ongoing basis. Prime is an Equal Opportunity Employer. All applicants are considered for employment without attention to race, color, age, religion, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity or expression, genetic information, ancestry, national origin, citizenship, protected veteran or military status, disability status, or any other classification protected by federal, state, or local laws and ordinances. #LI-Onsite

Data Migration Engineer (Informatica/DBT) (Remote, TX, US)

Ntt Data

United States

Req ID:392719 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Migration Engineer (Informatica/DBT) to join our team remotely in the US. Role Overview o The Senior Data Migration Engineer serves as a hands-on technical contributor and delivery anchor, responsible for designing and implementing Python-based extract/load pipelines, dbt-based transformations, and Airflow-based orchestration for a large-scale migration from Informatica PowerCenter to a modern data stack. o This role requires deep expertise in converting complex Informatica workflows into Python, dbt, and Airflow, and the ability to deliver production-quality, functionally equivalent output at enterprise scale. Key Responsibilities: • Assess complex Informatica workflows including sessions, mappings, and parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. • Design and develop dbt transformation models based on Informatica mapping logic, incorporating dbt best practices including model layering, macros, incremental strategies, and snapshot patterns. • Develop dbt-native tests as well as custom Python unit tests to validate transformation correctness and data quality. • Develop Airflow DAGs to orchestrate Python EL and dbt scripts end-to-end, producing output that is functionally equivalent to the source Informatica workflows. • Contribute to GitLab CI/CD pipeline for dbt and Airflow code, including lint gates, automated testing, and deployment to shared NAS. • Perform peer code reviews and provide constructive technical feedback to fellow engineers. • Troubleshoot performance issues and data discrepancies during SIT and UAT, including row-count reconciliation between source Oracle/SQL Server systems and the target warehouse. • Contribute to technical documentation, runbooks, and handover materials. Required Skills & Experience: • 5+ years of Informatica PowerCenter experience - mappings, sessions, workflows, and parameterization • 3+ years of hands-on dbt Core experience - model layering, macros, tests, incremental materializations • Any number of years of Airflow experience - DAG authoring, task dependencies, and incorporation with scheduling tool • 5+ years of Python experience, including production use of parallelism and batch data processing • 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets • Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high-volume data movement Preferred: • Experience with SQLAlchemy, cx_Oracle, or pyodbc for Python-based database connectivity • Experience mentoring junior and mid-level engineers in offshore delivery models NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $84,996-$147,563. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, . NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. Originally posted on Himalayas

NTT Data is looking for a Data / AI Native Engineer to join their team! Job Description: Job Title: Senior Technology Consultant - Data / AI Native Engineer Location: Arlington, VA, New York, NY and St. Louis, MO; Hybrid work model Overall Experience: 7+ Years Role Summary We are seeking a hands-on Senior Data / AI Native Engineer with strong expertise in Databricks, AWS, PySpark, and modern Lakehouse architecture. The ideal candidate combines deep Data Engineering expertise with strong Software Engineering practices and has experience leading complex enterprise data initiatives. The role requires daily hands-on use of GitHub Copilot and/or Claude Code CLI to accelerate software and data pipeline development. The candidate should be comfortable rapidly building POCs and MVPs and applying AI directly within data engineering workflows-not just using AI for application development. Day to Day Job Duties Design, develop, and optimize high-volume enterprise data pipelines using PySpark, Spark, and Databricks. Build scalable Lakehouse solutions using Delta Lake and Medallion Architecture (Bronze/Silver/Gold). Implement data governance, access controls, and cataloging using Databricks Unity Catalog. Design and develop cloud-native data solutions using AWS S3, EMR, Glue, Lambda, and Redshift. Lead complex Data Engineering initiatives and provide technical guidance to engineering teams. Develop batch and real-time data processing pipelines for large-scale enterprise datasets. Use GitHub Copilot and/or Claude Code CLI daily to accelerate coding, pipeline development, testing, troubleshooting, and documentation. Rapidly develop POCs and MVPs using AI-assisted engineering practices. Apply AI within data pipelines for use cases such as schema inference, automated data-quality rule generation, anomaly detection, and PySpark transformation generation. Build AI-ready data platforms supporting RAG, embeddings, vector stores, and AI/ML applications. Develop streaming pipelines using Structured Streaming, Kafka, Kinesis, or Databricks Auto Loader. Implement modern data engineering patterns including CDC, SCD Type 2, schema evolution, idempotent processing, and data contracts. Implement data quality, validation, monitoring, lineage, and observability across data pipelines. Conduct code/design reviews and establish reusable Data Engineering patterns and standards. Collaborate with Data Architects, AI/ML Engineers, Software Engineers, and business stakeholders to deliver enterprise data products. Basic Qualifications - Must Have 7+ years of experience in Data Engineering and Software Engineering, building production-grade enterprise data solutions. 4+ years of hands-on experience with Databricks, Delta Lake, Medallion Architecture, and PySpark/Spark. 4+ years of experience with the AWS data ecosystem, including S3, EMR, Glue, Lambda, and/or Redshift. Proven experience leading complex Data Engineering initiatives or providing technical leadership to Data Engineering teams. Strong hands-on experience processing high-volume datasets using PySpark, rather than Scala-only Spark development. Demonstrated daily use of GitHub Copilot and/or Claude Code CLI, with the ability to explain specific examples of how these tools improve Data Engineering productivity. Proven experience rapidly developing POCs and MVPs using AI-assisted development practices. Technical Skills Data Platform: Databricks, Delta Lake, Unity Catalog Data Processing: PySpark, Apache Spark Cloud: AWS - S3, EMR, Glue, Lambda, Redshift Architecture: Lakehouse, Medallion Architecture, Data Lakes Streaming: Spark Structured Streaming, Kafka, Kinesis, Auto Loader Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($70-$80/hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits . About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Data Engineer (w/ Oracle & OLTP) - On-Site to join our team in Plano, TX. Please note that this role will be on-site 5 days/week. Job Description: We are seeking a Senior Data Engineer to support the evolution of an enterprise customer profile platform and its integration with a broad ecosystem of applications. In this role, you will design, develop, and optimize data solutions, database platforms, and integration capabilities that power critical business processes and data assets. You will leverage cloud-native technologies, modern data engineering practices, and AWS and Snowflake capabilities to deliver scalable, reliable solutions that improve data accessibility, quality, and performance. Required Qualifications: 3+ years of Data Engineering experience. 3+ years of hands-on experience with Oracle RDBMS, including SQL, PL/SQL, stored procedures, and query/performance optimization. 3+ years of experience designing, developing, and supporting ETL and data integration solutions 2+ years of experience with messaging and event-driven technologies, such as Kafka, Amazon Kinesis, SNS, SQS, or similar platforms 2+ years of programming experience using Java and/or Python, with Java strongly preferred 1+ year of experience developing or supporting solutions in AWS cloud environments. 2+ years of experience supporting Online Transaction Processing (OLTP) systems and high-volume transactional workloads. Preferred Qualifications: Experience supporting production applications and data platforms, including troubleshooting and incident resolution Experience building and maintaining end-to-end data pipelines Experience with API-based integrations and distributed systems Experience developing scalable, high-performance data solutions Understanding of enterprise data architecture and integration patterns NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in both Plano, TX and Nashville, TN, the starting pay range is ($65.00 - $75.00/Hour). Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. #LI-NorthAmerica

AWS ETL Data Engineer - REMOTE (Memphis, TN, US)

Ntt Data

United States

Req ID:382980 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AWS ETL Data Engineer - REMOTE to join our team in Memphis, Tennessee (US-TN), United States (US). We are seeking an experienced technical resource who could design, develop, support, and enhance enterprise data platforms while ensuring compliance with privacy and data governance requirements. The role combines data engineering, systems integration, analytics, solution design, and operational support. Key Responsibilities Design, develop, and maintain scalable data pipelines using Spark (Scala/Python), AWS Glue, AWS Lambda, and Shell scripting. Build and support ETL/ELT processes across AWS platforms, including S3, Hive, Apache Iceberg, and Amazon Redshift. Develop and maintain Redshift SQL/PLSQL code, stored procedures, and data-processing frameworks. Perform query tuning, performance optimization, and data-sharing implementations. Support ingestion and processing of structured and semi-structured data formats including JSON, CSV, XML, ORC, Parquet, and Avro. Design, enhance, and support solutions that provide a unified view of customer data across systems. Integrate multiple data sources, applications, and business processes to support reporting, analytics, and customer engagement initiatives. Collaborate with business and technical teams to define and implement scalable data solutions. Manage and support Data Subject Requests (DSRs), including customer data erasure requests. Work closely with the DPO team to ensure compliance with privacy regulations and internal policies. Maintain and support the MicroStrategy Privacy Compliance module. (Very infrequent once in year or 2 years) Contribute to data governance initiatives that improve data quality, consistency, and compliance. Analyze and troubleshoot complex data issues using Redshift SQL, MySQL, Python/PySpark, Shell scripting, and Excel. Investigate data mismatches, reporting issues, and business data anomalies. Support business analysis related to customer tiers, loyalty programs, and email marketability. Provide production support and root-cause analysis for critical data platform issues. Technical Leadership & Collaboration Participate in Customer 360, Privacy, Data Governance, and Phaedon initiatives. Conduct code reviews and design reviews. Provide cross-team technical support and problem resolution. Research, design, and develop next-generation data capabilities and products. Act as a subject matter expert for customer data platforms. Primary Technologies AWS: S3, EC2, Redshift (RA3/Serverless), S3 Tables, S3 Hive, AWS Glue, Lambda (Python), Kafka, Airflow, Apache Iceberg Spark (Scala/Python) Redshift SQL/PLSQL, MySQL Data Modeling and Query Optimization Key Strengths Strong ownership and accountability Strong AWS Data Engineering stack awareness Ability to bridge business and technical teams Expertise across engineering, analytics, compliance, architecture, and operational support Adaptability and willingness to take on diverse data-related challenges Minimum Requirements: 12+ years of experience in Data Warehouse / Big Data ecosystems. 5+ years in a lead /SME role 5+ years with AWS architecture and data engineering, including S3, EC2, Redshift (RA3/Serverless), S3 Tables, S3 Hive, AWS Glue, Lambda (Python), Kafka, Airflow, Apache Iceberg 3+ years with Spark (Scala/Python) 5+ years with SQL/PLSQL, MySQL 5+ years strong understanding of: Data architecture & dimensional modeling ETL/ELT frameworks Distributed data processing Cloud data platforms Data governance and security Preferred Skills: Experience managing large-scale enterprise data environments. Proven track record of delivering complex data programs. Excellent communication and stakeholder management abilities. Experience in large enterprise or global delivery environments. Exposure to data modernization and cloud transformation programs. Certifications in cloud platforms or data engineering. Experience in regulated industries (Hospitality, Finance, Healthcare, Telecom, etc.). NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $97,725 – 162,875. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, . NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. Originally posted on Himalayas

Senior Microsoft Fabric Data Engineer

KData Inc.

United States

This is a remote position. Ingénieur de données Microsoft Fabric senior Mandat contractuel | Télétravail au Canada | Français et anglais Aperçu du poste Nous recherchons un ingénieur de données Microsoft Fabric senior, possédant une solide expérience pratique, afin de soutenir et d’améliorer un environnement de données et d’intelligence d’affaires en production. La personne retenue concevra, développera et exploitera des solutions Fabric tout en assurant la maintenance des plateformes SQL Server, SSRS et SSAS existantes. Pour réussir dans ce rôle, elle devra démontrer de fortes capacités de dépannage en production, un bon jugement architectural et une grande rigueur en matière de surveillance, d’alertes et de documentation. Principales responsabilités Concevoir, développer, déployer et soutenir en production des Lakehouses, des pipelines de données et des notebooks Spark dans Microsoft Fabric. Surveiller la capacité Fabric à l’aide de l’application Capacity Metrics, analyser les tendances d’utilisation, diagnostiquer les problèmes de limitation des unités de capacité (CU) et recommander des mesures correctives. Concevoir et soutenir des solutions fiables d’intégration et de réplication des données à l’aide de technologies SQL Server telles que Change Data Capture (CDC), la réplication transactionnelle, la copie des journaux, Always On et la mise en miroir. Évaluer les options de réplication et expliquer clairement leurs forces, leurs limites, leurs caractéristiques de disponibilité et leurs cas d’utilisation appropriés. Créer et optimiser des modèles sémantiques Power BI fondés sur les principes du schéma en étoile. Choisir et mettre en œuvre le mode de connectivité Power BI approprié — Direct Lake, Import ou DirectQuery — selon les besoins en matière de performance, d’actualisation, de volume et d’exploitation. Mettre en œuvre et optimiser des stratégies d’actualisation incrémentielle pour les grands ensembles de données. Maintenir et soutenir les plateformes SSRS et SSAS existantes; leur remplacement ne fait pas partie du mandat actuel. Mettre en place une surveillance et des alertes efficaces, enquêter sur les incidents de production et tenir à jour une documentation technique et opérationnelle claire. Collaborer avec les parties prenantes techniques et d’affaires, en français et en anglais. Senior Microsoft Fabric Data Engineer Contract opportunity|Canada remote|Bilingual French and English Duration - Initial 3 months Location - Remote from Quebec or elsewhere in Canada Experience - 5+ years relevant experience Language requirement: French required; functional English required Role Overview We are seeking a senior, hands-on Microsoft Fabric Data Engineer to support and enhance a production data and business intelligence environment. The consultant will build and operate Fabric solutions while maintaining existing SQL Server, SSRS, and SSAS platforms. Success in this role requires strong production troubleshooting, sound architectural judgment, and equal attention to monitoring, alerting, and documentation. Key Responsibilities Design, develop, deploy, and support Microsoft Fabric Lakehouses, data pipelines, and Spark notebooks in production. Monitor Fabric capacity using the Capacity Metrics App; analyze usage patterns, diagnose Capacity Unit throttling, and recommend practical remediation. Design and support reliable data integration and replication solutions using SQL Server technologies such as Change Data Capture, transactional replication, log shipping, Always On, and mirroring. Assess replication options and clearly explain their strengths, limitations, availability characteristics, and appropriate use cases. Create and optimize Power BI semantic models using star schema principles. Select and implement the appropriate Power BI connectivity pattern—Direct Lake, Import, or DirectQuery—based on performance, freshness, scale, and operational needs. Implement and tune incremental refresh strategies for large datasets. Maintain and support the existing SSRS and SSAS platforms; replacement of these platforms is not part of the current mandate. Establish effective monitoring and alerting, investigate production issues, and maintain clear technical and operational documentation. Collaborate with technical and business stakeholders in both French and English. Requirements Qualifications requises Au moins cinq ans d’expérience pertinente en ingénierie des données, ingénierie analytique, intelligence d’affaires ou dans un domaine connexe. Expérience pratique de la livraison d’au moins une implantation Microsoft Fabric jusqu’à sa mise en production et à son soutien opérationnel. Expérience en production avec les Lakehouses Fabric, les pipelines, les notebooks Spark, l’application Capacity Metrics et l’analyse de la limitation des CU. Solide connaissance de SQL Server, notamment CDC, la réplication transactionnelle, la copie des journaux, Always On et la mise en miroir. Solide expérience en modélisation de données Power BI, notamment avec les schémas en étoile, Direct Lake, Import, DirectQuery et l’actualisation incrémentielle. Expérience dans la maintenance d’environnements SSRS et SSAS. Rigueur démontrée en matière de surveillance de la production, d’alertes, de dépannage et de documentation. Excellente maîtrise professionnelle du français et anglais fonctionnel. Capacité à travailler à distance depuis le Québec ou ailleurs au Canada. Profil recherché La personne idéale combine une expertise technique approfondie et une forte orientation vers l’exploitation en production. Elle peut travailler efficacement avec Microsoft Fabric, SQL Server et Power BI, diagnostiquer les problèmes de performance et de capacité, comparer les options d’architecture à partir de faits et communiquer clairement ses recommandations aux parties prenantes techniques et non techniques. ​ Required Qualifications At least five years of relevant experience in data engineering, analytics engineering, business intelligence, or a closely related field. Hands-on delivery of at least one Microsoft Fabric implementation through production release and ongoing support. Production experience with Fabric Lakehouses, pipelines, Spark notebooks, the Capacity Metrics App, and CU throttling analysis. Strong SQL Server knowledge, including CDC, transactional replication, log shipping, Always On, and mirroring. Strong Power BI data modeling experience, including star schemas, Direct Lake, Import, DirectQuery, and incremental refresh. Experience maintaining SSRS and SSAS environments. Demonstrated discipline in production monitoring, alerting, troubleshooting, and documentation. Professional fluency in French and functional working proficiency in English. Ability to work remotely from Quebec or elsewhere in Canada. Ideal Candidate Profile The ideal candidate combines deep hands-on engineering skills with a production-operations mindset. They can move comfortably between Fabric, SQL Server, and Power BI; diagnose performance and capacity issues; compare architectural options with evidence; and communicate recommendations clearly to both technical and non-technical stakeholders. Originally posted on Himalayas

Req ID: 393405 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Data Engineer (w/ Oracle & OLTP) - On-Site to join our team in either Plano, TX or Nashville, TN. Please note that this role will be on-site 5 days/week. We are seeking a Senior Data Engineer to support the evolution of an enterprise customer profile platform and its integration with a broad ecosystem of applications. In this role, you will design, develop, and optimize data solutions, database platforms, and integration capabilities that power critical business processes and data assets. You will leverage cloud-native technologies, modern data engineering practices, and AWS and Snowflake capabilities to deliver scalable, reliable solutions that improve data accessibility, quality, and performance. Required Qualifications: 3+ years of Data Engineering experience. 3+ years of hands-on experience with Oracle RDBMS, including SQL, PL/SQL, stored procedures, and query/performance optimization. 3+ years of experience designing, developing, and supporting ETL and data integration solutions 2+ years of experience with messaging and event-driven technologies, such as Kafka, Amazon Kinesis, SNS, SQS, or similar platforms 2+ years of programming experience using Java and/or Python, with Java strongly preferred 1+ year of experience developing or supporting solutions in AWS cloud environments 2+ years of experience supporting Online Transaction Processing (OLTP) systems and high-volume transactional workloads. Preferred Qualifications: Experience supporting production applications and data platforms, including troubleshooting and incident resolution Experience building and maintaining end-to-end data pipelines Experience with API-based integrations and distributed systems Experience developing scalable, high-performance data solutions Understanding of enterprise data architecture and integration patterns NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in both Plano, TX and Nashville, TN, the starting pay range is $104,240-$130,300. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, ;br> NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Pre Sales Data Center Solutions Engineer

Prime Data Centers

United States

About Prime Data Centers Prime Data Centers develops, acquires, and operates data centers for some of the world's largest enterprises. A private firm owned by a group controlling $6 billion in assets, with a 15-year tenure in technology and real estate development, Prime provides customers with ownership options and dynamic leasing models, defining a true corporate partnership. About the role The Pre Sales Data Center Solutions Engineer reports to the VP of Solutions Engineering and plays a key role in evaluating, designing, and implementing data center technical solutions for construction-based projects for primarily our prospective Hyperscale customers. This role supports opportunities driven by RFPs/RFIs and direct client engagement, partnering closely with Sales and working collaboratively with Engineering, Product Delivery, Operations and Marketing to deliver accurate, compelling, and technically sound responses and proposals. What you'll do Design, develop, andsupport theimplementation of Data Center solutionsaligned withcustomer technical and businessrequirements. Lead and engage in internal response teams to review,evaluateand address customer requirements for RFP and RFIsubmissions. Supportimplementation and construction teamsto ensuretimelydelivery of customer contractual commitments. Contribute technical content for sales presentation, industry events, publication, and digitalplatformin partnership with Prime Marketing team. Travel to company sites and OEM facilities tofacilitatestrong relationships between the company and site contractors and suppliers Collect, manage, and update, internal library of RFP questions/answers and specification documents that areregularly usedfor response documents Contribute to and manage PowerPoint documents for Sales Engineering-specific subject matter MaintainSalesforcelist of available capacity/footprint at existing company facilities Maintain aSalesforcelist of potential development properties and acquisitions, and the status of each Self-paced training to gain knowledge of MEP systems, civil and structural engineering, architecture, and commissioning as they result to data center development Self-paced training to gain knowledge on facility BMS/EPMS/DCIM systems and security operational process and policy Coordinate with company procurement specialist to summarizeanticipatedvs.requiredvs. ordered OFCI equipment, and impacts to current sales opportunities and/or site developments MonitorTFOproject costs and schedule against contractual commitments Attend regular Development status meetings and provide weekly summary of progress and issues to Sales to align on business objectives Work with design team to understand category spend management opportunities, supplymarketand commodity trends, typical KPI’s for designers,contractorsand professional service providers Help develop RFP packages forTFOdesign and contracting services and help coordinate competitive sourcing events to ensure structuring of commercial value, risk mitigation, and performances requirements are secured in a contract to protect the company’s interests Coordinatewith procurement team toanticipateneeds of various projects to ensure ordering of OFCI equipment for just-in-time delivery to meet company timelines Obtain OFCI equipment submittals to support the design, specification, and process approval for each assigned project as needed Qualifications Bachelor’sdegree,preferencein ascience-related fieldsuch as ComputerScience,InformationTechnology orEngineering. Relevant technical Military Service experience will also be considered. 5+ years of experience indatacentersolutiondesign orarelatedengineeringrole Excellent communication and client-facing skills. Strong understanding ofdatacenterdesign, construction, and implementation practices. HighproficiencywithMicrosoftWord,Excel,PowerPoint,SharePointandTeams Proficiencyin AutoCAD/Visio/Bluebeamis aplus Ability to collaborate effectively with cross-functional teams, both in-person and remotely Highlyself-motivated, with strong organizational skills and ability to prioritize competing deliverables (customer-facing and internal) Ability to travel as needed (moderate travel expected) Benefits Competitive salary range with a quarterly-based project bonus and an annualized performance bonus program 401k up to a 4% employer match with is fully vested upon enrollment 100% employee premiums paid by employer for medical, dental, vision, life insurance, and disability Paid Time Off + Sick time Applications will be accepted on an ongoing basis. Prime is an Equal Opportunity Employer. All applicants are considered for employment without attention to race, color, age, religion, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity or expression, genetic information, ancestry, national origin, citizenship, protected veteran or military status, disability status, or any other classification protected by federal, state, or local laws and ordinances. Originally posted on Himalayas

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer - Data Platform (Spark/Kafka/Flink/Scala/Java) - Onsite Hybrid to join our team in Dallas, Texas (US-TX), United States (US). Join a team building next-generation, cloud-native data platforms powering real-time and batch data movement at enterprise scale. You will design and develop streaming and batch frameworks, Kafka/Flink/Spark-based processing engines, and cloud-native solutions on Azure and Kubernetes. Ideal candidates have strong distributed systems experience and a passion for platform engineering, automation, and data modernization. Job Responsibilities Include: Design, develop, and support scalable real-time and batch data pipelines using Apache Spark, Apache Flink, Apache Kafka, and Airflow. Build and enhance metadata-driven self-service data integration platforms and reusable connectors. Develop and maintain source and target connectors for relational databases, file systems, Kafka, Cassandra, YugabyteDB, and other enterprise data stores. Design, deploy, and operate Kubernetes-based streaming and batch processing platforms. Lead cloud migration initiatives from on-premise environments to Microsoft Azure. Drive performance tuning, scalability optimization, reliability improvements, and operational excellence across large-scale data workloads. Develop cloud-native solutions supporting enterprise data movement and processing. Collaborate with product owners, architects, cloud engineering teams, and business stakeholders to deliver enterprise-scale data solutions. Contribute to platform modernization, automation, CI/CD implementation, and engineering best practices. Support troubleshooting, production stability, and continuous improvement initiatives for critical data platforms. Basic Qualifications: Minimum 8+ years of overall Software Engineering or Data Engineering experience. Minimum 5+ years of hands-on experience with Apache Spark for large-scale batch and streaming data processing. Minimum 5+ years of hands-on experience with Apache Kafka including event-driven architectures and real-time data streaming solutions. Minimum 3+ years of hands-on experience with Apache Flink for stream processing and real-time analytics workloads. Minimum 5+ years of experience developing applications using Java and/or Scala . Minimum 5+ years of experience writing complex SQL queries and optimizing database performance. Minimum 3+ years of experience with Kubernetes and containerized application deployment. Minimum 3+ years of experience designing and implementing solutions on Microsoft Azure Cloud . Minimum 3+ years of experience building and supporting distributed data platforms using Cassandra, YugabyteDB, PostgreSQL, or similar databases . Minimum 3+ years of experience building event-driven architectures and streaming applications. Minimum 2+ years of experience implementing CI/CD pipelines , source control, and deployment automation using GitLab, GitHub, or similar tools. Minimum 2+ years of experience with cloud-native deployment patterns, containerization, and platform automation. Travel: Minimal travel required. Travel may be necessary based on project and stakeholder requirements. Degree: Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent work experience. Preferred Skills: Demonstrated experience in performance tuning, troubleshooting, and supporting mission-critical data platforms. Experience with Apache Airflow orchestration. Experience with metadata-driven data platforms and self-service ingestion frameworks. Experience with enterprise cloud migration and modernization programs. Experience with platform engineering and internal developer platforms. Experience leading technical initiatives, mentoring engineers, or serving as a technical lead. Knowledge of DevSecOps, infrastructure as code, and observability frameworks. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $96,492 - $144,738 per annum. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. #L1-NorthAmerica About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, ;br> NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Senior Data Engineer (w/ Oracle & OLTP) - Remote Role

NTT DATA Americas, Inc

Remote

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Data Engineer (w/ Oracle & OLTP) - On-Site to join our team in Plano, TX. Please note that this role will be on-site 5 days/week. Job Description: We are seeking a Senior Data Engineer to support the evolution of an enterprise customer profile platform and its integration with a broad ecosystem of applications. In this role, you will design, develop, and optimize data solutions, database platforms, and integration capabilities that power critical business processes and data assets. You will leverage cloud-native technologies, modern data engineering practices, and AWS and Snowflake capabilities to deliver scalable, reliable solutions that improve data accessibility, quality, and performance. Required Qualifications: 3+ years of Data Engineering experience. 3+ years of hands-on experience with Oracle RDBMS, including SQL, PL/SQL, stored procedures, and query/performance optimization. 3+ years of experience designing, developing, and supporting ETL and data integration solutions 2+ years of experience with messaging and event-driven technologies, such as Kafka, Amazon Kinesis, SNS, SQS, or similar platforms 2+ years of programming experience using Java and/or Python, with Java strongly preferred 1+ year of experience developing or supporting solutions in AWS cloud environments. 2+ years of experience supporting Online Transaction Processing (OLTP) systems and high-volume transactional workloads. Preferred Qualifications: Experience supporting production applications and data platforms, including troubleshooting and incident resolution Experience building and maintaining end-to-end data pipelines Experience with API-based integrations and distributed systems Experience developing scalable, high-performance data solutions Understanding of enterprise data architecture and integration patterns NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in both Plano, TX and Nashville, TN, the starting pay range is ($65.00 - $75.00/Hour). Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. #LI-NorthAmerica

Data Engineer Location: Flexible within the United States (Boston or LA preferred) Position is available: Immediately WHO WE ARE Every student deserves opportunities in life, and every educator committed to providing those opportunities, deserves support. Those beliefs drive us to work alongside schools to support great teaching so that we can work towards guaranteeing that all students are receiving high quality instruction. We partner with over 900 schools - both district and charter - in underserved communities around the country, thus impacting more than 330,000 students. Third-party evaluations confirm that when schools have the right basic conditions in place and partner with ANet, they achieve 6-8 months of additional learning over a two-year period compared to schools not partnering with ANet. At ANet we are committed to living out our core values , both across our organization and with our partner schools. We acknowledge that systemic inequities impact student access to opportunities and that in order to ensure educational equity for all students, we must center on the experiences of those from marginalized communities to guide our work. We work to deepen our understanding of how race, class, power and privilege influence the education system as well as influence our own perspectives. To do so, we provide ongoing learning opportunities through org-wide professional development, affinity groups, working groups, and resource sharing. Individuals who join ANet have the opportunity to be part of a dynamic, values driven, and team-oriented organization that is committed to having impact in schools by investing in each other and learning together. We were named as The NonProfit Times “Best Nonprofits to Work For” and work tirelessly to foster a working environment where the unique perspectives, backgrounds, and identities of our staff members are valued. THE OPPORTUNITY We are seeking a Data Engineer to join ANet's Data & Analytics Team, reporting directly to the Vice President, Data & Analytics. The Data Engineer will own the maintenance, improvement, cleaning, manipulation, and ETL of data in ANet's analytic databases. Working with a cross-functional team of data scientists, analysts, dashboard builders and software engineers, the Data Engineer will understand and implement database requirements, analyze performance, and troubleshoot any issues -- all with the end-goal of defining and building robust data pipelines that enable faster, better, data-informed decision-making to accelerate outcomes for ANet's partner schools and students. The Data Engineer must be an expert in SQL development, providing support to the Data and Analytics team in database design, data flow and analysis and dashboarding activities. The Data Engineer will also play a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing. WHAT YOU'LL DO Manage and engineer our analytic data warehouses to power and integrate with internal applications (including but not limited to dashboards, analyses, and sales, marketing and help desk platforms) Build new databases and data storage solutions. Immediate priorities will include: A single database of record for all adults with which ANet interacts. This single source of truth for contacts must enable us to roll all user-level touchpoints up to the organization-level & link those activities to outcome measures. Support development & implementation of improved Salesforce instance as the source of record for contacts Work with Engineering to develop functionality that syncs internal user management databases with Salesforce Evolve our analytic databases and links to operational databases to enable roll-up of individual touchpoints to organization-level aggregates A database solution for clickstream data that will power the delivery of personalized content Work with data scientists, product managers, and engineers to understand requirements and use cases Maintain, optimize and evolve existing analytic data warehouses (ADW) including: Design and manage ETL scripts from source databases into ADW (maintain existing ones, write new, stay up to date on APIs). Proactively analyze & evaluate database in order to optimize database and dashboard performance. Diagnose performance issues, prioritize, and solve. Partner with Engineering team to resolve priority issues that require developer support. Ensure the quality, consistency and security of data in the ADW. Partner with business and analytic teams to ensure that ADW meets their data needs. Partner with IT and Cloud Engineering to set and implement security policies. Support strategy development and implementation of long-term data solutions architecting (including how we leverage cloud infrastructure such as AWS), as we evolve our data architecture to align with our overall tech roadmap and data strategy; own parts of the implementation of any database evolution Build knowledge on the latest in big database technology (including but not limited to noSQL databases, Hadoop, Hive, Spark), and the costs/steps associated with data infrastructure updates/migration. Proactively search for and make recommendations about the most efficient and cost-effective solutions to ANet's data infrastructure needs. Develop and maintain documentation for our existing organizational databases Provide training and guidance to other teams in the organization who query databases directly Stay up-to-date on industry trends and best practices, advising leadership on new and improved data engineering strategies that will drive data performance, improve data governance, and ultimately improve mission outcomes. Lend support to data-related projects on the Data & Analytics and Engineering teams, as needed, which could range from lending a hand on dashboard builds to pitching in on operational database development. WHO YOU ARE AND WHAT YOU BRING In order to be successful in this role, candidates must demonstrate the following: You have at least 3-4 years of experience supporting or leading database administration, including experience with: creating, optimizing and debugging databases, including big data management. data modeling and query performance tuning. multiple flavors of SQL (MS SQL, MySQL and PostgresSQL). monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. designing, building, and maintaining ETL pipelines. You have demonstrated experience working with large and complex data sets, as well as experience analyzing volumes of data including: demonstrated skills in SQL server reporting services, analysis services, integration services, and data visualization tools. experience using Python to query and analyze data and build data pipelines. You have the ability to write complex SQL queries, utilizing basic SQL functions. You bring a learning orientation to your work and while you bring a basic understanding of big data management in the cloud, you're energized by staying up-to-date with industry trends and growing your skills and knowledge to identify new solutions that will help ANet meet its goals. You can navigate and internalize database structures with minimal guidance and have the ability to write up documentation around your discoveries You are a skilled problem solver: you can understand complex data needs from a variety of stakeholders, and determine the best path forward to meet those needs You are your happiest and most successful in innovative, collaborative, and fast-paced environments You bring a strong attention to detail which helps you balance and prioritize competing priorities as well as do your own QA work to ensure 100% accuracy You have a passionate commitment to and a sense of urgency for the support of schools, along with a belief that all students can achieve at high levels You are motivated by working in an environment where we live out our core values daily and are eager to examine personal archetypes and biases while discussing topics related to race, class, and privilege which relate to ANet's Advance Equity and People Matter values Ideal candidates may also demonstrate the following preferred qualifications: You have experience with cloud data and big data infrastructure management (AWS, EMR, Google Big Query, Hadoop, Spark, etc). You have experience with noSQL, graph and other non-SQL databases and experience with unstructured data. You bring prior experience with Tableau and Salesforce. You have basic knowledge of Java. WHAT WE OFFER ANet offers highly competitive compensation based on prior experience and qualifications as well as comprehensive benefits in order to best support our people. Benefits we offer include: health, dental and vision insurance where ANet pays 80% of the cost of these benefits for employees and their families/domestic partner; 3 weeks of vacation (4 weeks after two years with ANet); 10 paid holidays with paid days off between the Christmas and New Year's holidays; a paid floating holiday; paid sick & personal days; paid parental leave; retirement plan options; commuter benefits; tuition reimbursement; flexible spending accounts; short and long-term disability coverage; and basic life and personal accident insurance. HOW TO APPLY We are now accepting applications for this position, which will be reviewed on a rolling basis. To apply, please click on the blue “Apply” button. You will then be prompted to complete a brief application and upload a resume and thoughtful cover letter in which you outline why you are interested in working for ANet and how your skills and experience meet the qualifications of the position. ANet is committed to maximizing the diversity of our organization. We are an equal opportunity employer and encourage individuals of all ethnic and racial backgrounds and gender identities to apply to our positions. Apply Here PI113726652

Data Engineer

Northstrat

Sterling, United States

Northstrat is seeking a Data Engineer to join the agile development team. The team builds and maintains ETL pipelines that enable full spectrum data operation from ingest to query exceeding current and expected business value requirements through multiple significant experiences. As an individual contributing member of the team, you will participate in our fully agile development process and have the opportunity to work with modern tools and technologies, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality solutions to our clients. The work environment is a hybrid one, with a mix of remote and in-person work. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about developing innovative software solutions, we would love to hear from you. Essential Job Responsibilities Must have a strong working knowledge and experience developing ETL Pipelines The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data acquisition, analysis, and/or sharing efforts in the past To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation Should have an inquisitive nature, responsiveness, and excellent testing and quality assurance skills. Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. Will work in a fast-paced, small business environment independently and with our talented team. Other duties as assigned.

About Urban SDK Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence. Our Commitment to People We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work. About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering practices, including automated testing, CI/CD, and data quality monitoring. Responsibilities Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms. Manage large-scale geospatial and temporal datasets stored in AWS S3. Collaborate with data scientists to productionize machine learning models and ensure smooth data availability. Implement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability. Optimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently. Develop and maintain documentation for data workflows, architecture, and processes. Work closely with cross-functional teams to understand data requirements and ensure timely delivery. Stay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 3+ years of experience as a data engineer or in a similar role. Strong proficiency in Python and associated libraries for data engineering (pandas, PySpark, etc.). Hands-on experience with Databricks and Spark for large-scale data processing. Experience with AWS services, especially S3, and knowledge of cloud-based data architectures. Solid understanding of data pipeline testing, version control, and CI/CD practices. Experience with SQL and NoSQL databases. Strong problem-solving skills and attention to detail. Preferred Skills Familiarity with geospatial data formats and processing (GeoJSON, Shapefiles, PostGIS). Experience with workflow orchestration tools (Databricks, Prefect, or similar). Knowledge of containerization (Docker/Kubernetes) and cloud-native data solutions. Experience supporting machine learning pipelines in production. Compensation Location: Jacksonville, FL (Town Center Area) or Remote Type: Full-time Reports to: Director of Engineering Salary Based on Experience Annual Bonus Medical, Vision, Dental, 401(k) 21 Days Vacation Office Lunch provided Daily Originally posted on Himalayas