Data Engineer Jobs

Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious. For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client-facing, consultative role that blends solution design with hands-on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake. This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high-quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership. Responsibilities To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs. Design and build scalable, secure, and cost-effective data solutions in Snowflake. Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services. Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans. Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs). Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management. Lead modernization and migration initiatives to move clients from legacy systems into Snowflake. Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks. Contribute to internal accelerators, frameworks, and proofs of concept. Mentor junior engineers and support knowledge sharing across the team. Supervisory Responsibilities: None Qualifications: Education and Experience: 7+ years of experience in data engineering, data warehousing, or data architecture. 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.). Strong SQL and Python skills, with production experience using dbt. Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.). Prior experience in a consulting or client-facing delivery role. Excellent communication skills, with the ability to collaborate across technical and business stakeholders. Preferred - SnowPro Certification Work Environment: Remote work from home. Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. Physical Demands: Must be able to remain in a stationary position 50% of the time. The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. Benefits: Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies. Data Ideology is an EEO Employer Originally posted on Himalayas

Data Engineer

MFour Data Research

Kansas City, MO

MFour Data Research Jobs Data Engineer MFour Data Research Data Engineer Job Posted 5 Days Ago Posted 5 Days Ago Kansas City, MO, USA In-Office 125K-125K Annually Mid level Marketing Tech • Software Building the Future of Consumer Intelligence One Behavioral Signal at a Time The Role Design, build, and manage scalable batch and real-time data pipelines, databases, and processing systems. Develop and administer Databricks and Snowflake environments, optimize data architecture and distributed processing, manage PostgreSQL and MySQL databases, and implement governance, monitoring, alerting, and troubleshooting practices. Collaborate with analytics, engineering, and product teams to deliver reliable data solutions, document workflows, and promote modern data engineering practices. Summary Generated by Built In Welcome to MFour! Our Story: Founded in 2011, MFour is a fast-growing data and analytics technology company “democratizing” consumer insights. Named a 2023 “top 25 L.A. tech companies to watch,” by Built In, we’ve created a SaaS ecosystem, giving businesses access to united shopper behavior + opinion data that uncovers the whos, whats, whys, whens, and wheres behind consumers in ways never before possible. We help 25% of the Fortune 100 plus organizations of all sizes make product, brand, and advertising decisions. Our Product: Using the nation’s most downloaded, highest-rated, and only Apple-approved app & web data collection and survey app (Surveys On The Go®), MFour is the only consumer market research company that guarantees accurate, validated responses for every survey, giving businesses the data and insights they need to make impactful decisions. From validated opinion and behavior trackers to advertising exposure measurement, MFour is trusted by hundreds of leading companies. Our Goal: To eliminate the unknown (data blind spots) within market research in a way that recognizes a consumer’s right to privacy, so marketers can make better decisions about new and existing products, advertising choices, and competitive positioning. MFour is trusted by hundreds of leading brands, including Google, Microsoft, Samsung, Walmart, Disney, Spotify, and Lowe’s. , Our Core Values: Simplicity, Humility, Quality, Consistency, and Innovation. Your Journey to Success: The Data Engineer will design, implement, and manage scalable data pipelines, databases, and processing systems to support engineering, product, and analytics teams. This includes developing and administering platforms like Databricks and Snowflake, optimizing data architecture, and ensuring performance, scalability, and reliability. Your Mission: Data Infrastructure Development: Design, build, and maintain scalable data pipelines to process large volumes of structured and unstructured data. Optimize data architecture for both real-time and batch processing workflows. Integrate and maintain PostgreSQL, MySQL, Databricks, and Snowflake within our data ecosystem. Databricks Development and Administration: Develop and manage workflows on Databricks to support ETL/ELT processes. Optimize Databricks performance for distributed computing and data processing. Monitor, troubleshoot, and ensure the reliability of Databricks clusters and jobs. Snowflake Development and Administration: Design and optimize Snowflake schemas and data warehouses for efficient querying. Develop and manage data ingestion pipelines for Snowflake using modern tools and frameworks. Administer Snowflake environments, including account management, performance tuning, and resource optimization. Database Management: Administer PostgreSQL and MySQL databases, ensuring high availability and performance. Implement and enforce data governance practices to ensure data security and compliance. Collaboration: Partner with analytics and engineering teams to define data needs and deliver solutions for business insights. Work with product teams to align data solutions with product goals and user requirements. Monitoring and Troubleshooting: Set up monitoring and alerting systems for data platforms and pipelines. Proactively debug and resolve data-related issues to ensure system reliability. Innovation and Best Practices: Stay current with emerging trends and advocate for tools and practices that enhance data engineering efficiency. Document workflows, pipelines, and platform configurations to foster team collaboration and knowledge sharing. What Sets You Apart Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 3+ years of professional experience in data engineering or related fields. Proficiency in Databricks development and cluster administration. Hands-on experience with Snowflake development and administration, including performance tuning and security configuration. Strong understanding of relational databases, particularly PostgreSQL and MySQL. Expertise in programming languages like Python, Scala, or SQL for data processing and automation. Familiarity with ETL/ELT tools and frameworks such as Apache Airflow or dbt. Experience with cloud platforms (AWS, Azure, or GCP). Preferred Skills: Knowledge of distributed systems and big data frameworks like Spark. Experience with CI/CD pipelines for deploying data workflows. Familiarity with real-time streaming technologies (Kafka, Kinesis, etc.). Why Join Us? Work with a passionate, innovative team driving the next wave of industry solutions. Opportunities for professional growth and continuous learning. Competitive compensation, comprehensive benefits, and a flexible work environment. In return for your dedication, we offer: Salary $125,000 Health benefits Top-tier health benefits include; medical, dental, vision, LTD, and life insurance Mental health benefits Additional benefits Unlimited PTO In the WeWork office In the heart of the financial district in downtown Kansas City Open space concept & team-focused atmosphere Company-wide celebrations Team bonding events and happy hours CHECK US OUT: https://www.youtube.com/watch?v=cabweOxGias&t=1s OUR APP : https://surveysonthego.com/ Read Full Description Skills Required Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience 3+ years of professional experience in data engineering or related fields Proficiency in Databricks development and cluster administration Hands-on experience with Snowflake development and administration, including performance tuning and security configuration Strong understanding of relational databases, particularly PostgreSQL and MySQL Expertise in Python, Scala, or SQL for data processing and automation Familiarity with ETL/ELT tools and frameworks such as Apache Airflow or dbt Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of distributed systems and big data frameworks such as Spark Experience with CI/CD pipelines for deploying data workflows Familiarity with real-time streaming technologies such as Kafka or Kinesis MFour Data Research Compensation & Benefits Highlights Healthcare Strength — The company highlights medical, dental, vision, and life insurance, plus long-term disability and free, confidential, unlimited mental-health support. The breadth of core health offerings is emphasized across career materials and job posts. Leave & Time Off Breadth — “Unlimited PTO” is promoted alongside paid holidays and sick time. Public materials position generous time off as a cornerstone of the package. Retirement Support — A company-matched 401(k) is called out in career pages and job listings. While match specifics should be confirmed, the presence of employer matching strengthens long-term value. Learn more about MFour Data Research's Compensation & Benefits → MFour Data Research Insights What's It Like to Work at MFour Data Research? MFour Data Research Culture & Values MFour Data Research Career Growth & Development What's the Work-Life Balance Like at MFour Data Research? MFour Data Research Leadership & Management MFour Data Research Company Growth, Stability & Outlook View all jobs at MFour Data Research View MFour Data Research Profile Report Job Am I A Good Fit? beta Get Personalized Job Insights. Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align. Upload Resume Upload Resume Success! Refresh the page to see how your skills align with this role. The Company HQ: Irvine, CA 98 Employees Year Founded: 2011 What We Do MFour turns consumer behavior into a competitive advantage. We operate the largest opt-in, first-party consumer panel in the U.S., tracking 4B+ monthly signals across location, apps, web, receipts, and AI conversations. Our platform, powered by DANI™, delivers instant insights to the world's biggest brands, from Google to Walmart to Disney. We're building the future of market research, and we're just getting started! Why Work With Us MFour is redefining how the world understands consumers by tracking the full journey from ChatGPT search to in-store purchase. We move fast, trust our people, and are building something that's never been built before. If you want to grow, build, and actually matter, MFour is it! MFour Data Research Offices Learn More Hybrid Workspace Employees engage in a combination of remote and on-site work. Typical time on-site: 3 days a week HQ Irvine, CA Kansas City - WeWork office Learn more Option 1 of 1 Similar Jobs MFour Data Research Account Executive Marketing Tech • Software In-Office 2 Locations 98 Employees 120K-120K Annually View all jobs at MFour Data Research View MFour Data Research Profile Report Job Continue Not Eligible Save You are not eligible to apply because your location does not meet the criteria for this role. Not Eligible Save Apply Instructions Sign up now Access later Create Free Account Already have an account? Log In .unAuthenticated-modal::backdrop { position: fixed; background: rgba(0, 0, 0, 0.5); } .dot { padding: 2px; border-radius: 50%; } .px-5xl { padding-left: 5rem !important; padding-right: 5rem !important; } .bg-daffodil { background-color: #ffed00 !important; } .gradient-blueberry { background-image: linear-gradient(312deg, rgb(36, 79, 231) 2%, rgb(10, 14, 92) 94%); } Please log in or sign up to report this job. Create Free Account Already have an account? Log In .unAuthenticated-modal::backdrop { position: fixed; background: rgba(0, 0, 0, 0.5); } .dot { padding: 2px; border-radius: 50%; } .px-5xl { padding-left: 5rem !important; padding-right: 5rem !important; } .bg-daffodil { background-color: #ffed00 !important; } .gradient-blueberry { background-image: linear-gradient(312deg, rgb(36, 79, 231) 2%, rgb(10, 14, 92) 94%); }

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 Engineer Investment Banking / Risk

Hudson Data LLC

New York, NY

Job Title: Senior Data Engineer Investment Banking / Risk Location: New York, NY Type: W2 role Domain: Capital Markets Investment Banking & Risk Role Summary We are seeking a Senior Data Engineer to design, build, and optimize large-scale data pipelines supporting Investment Banking and Risk functions. The ideal candidate combines deep hands-on engineering expertise in the Azure Databricks ecosystem with a strong understanding of financial risk data (market risk, credit risk, counterparty risk,

AI Engineer/Data Engineer :: NJC NJ--Hybrid

Data Wave Technologies Inc

Jersey City, NJ

Role- AI Engineer or Data Engineer Location- NJC, NJ--Hybrid Fulltime Open for any Visa Required Skills Strong Python development with FastAPI or Flask. Experience building production-grade AI/LLM applications. Solid SQL, data modeling, and data engineering fundamentals. Expertise in concurrency, asynchronous programming, and performance optimization. Experience with testing, production support, and system reliability. Strong architectural design and technical leadership skills. Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. Develop REST APIs and scalable enterprise solutions. Build AI-powered data analytics and self-service platforms. Optimize data pipelines for performance and scalability. Collaborate with Risk stakeholders to deliver AI-driven solutions. Provide technical leadership, architecture guidance, and mentor engineering teams.

Data Product Engineer (Databricks)

NTT DATA Americas, Inc

Plano, TX

Company Overview: Req ID: 388325 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. NTT DATA`s Client is currently seeking a Data Product Engineer (Databricks) to join their team in Plano, Texas (US-TX), United States (US). Job Description: Day to Day Job Duties: (what this person will do on a daily/weekly basis) Lead the design and implementation of enterprise Data Product standards, architecture patterns, and engineering practices within the Databricks ecosystem. Partner with business stakeholders, Risk domain teams, Data Product Owners, and technology leadership to identify high-value data products that support critical business use cases and analytics outcomes. Define and implement reusable data product frameworks, reference architectures, governance controls, metadata standards, and quality requirements to accelerate enterprise adoption. Architect and build multiple end-to-end MVP Data Products in Databricks, including data ingestion, transformation, quality controls, metadata management, security, lineage, and consumption layers. Develop scalable data pipelines and Lakehouse solutions utilizing Databricks, Delta Lake, Unity Catalog, Spark, and cloud-native services. Collaborate with Data Engineers, Data Architects, Governance teams, and platform teams to establish delivery standards that support product-based data management and domain-oriented ownership. Design and implement data product templates, CI/CD patterns, operational monitoring, observability controls, and automated testing frameworks to support repeatable delivery. Evaluate existing data assets, business processes, and technology capabilities to identify opportunities for modernization and improved data product adoption. Create proof-of-value demonstrations and working MVP solutions that validate architecture decisions, demonstrate business value, and establish implementation patterns for future teams. Lead technical workshops, architecture reviews, and stakeholder discussions focused on data product design, data contracts, interoperability, discoverability, and consumption patterns. Provide technical leadership and mentorship to engineering teams while driving alignment between strategic business objectives and practical delivery execution. Support proposal development, solution architecture discussions, effort estimation, and client presentations related to enterprise Data Product and Databricks transformation initiatives. Basic Qualifications: (what are the skills required to this job with minimum years of experience on each) Minimum 10+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, or Enterprise Data Management. Minimum 5+ years of experience designing and implementing modern cloud-based data platforms and data products. Minimum 4+ years of hands-on Databricks experience, including Delta Lake, Unity Catalog, Workflows, MLflow, and Lakehouse architecture patterns. Minimum 5+ years of experience designing scalable data architectures and distributed data processing solutions. Minimum 4+ years of experience building enterprise data pipelines using Spark, Python, SQL, and cloud-native technologies. Minimum 3+ years of experience implementing Data Product operating models, Data Mesh concepts, domain-driven data ownership, or product-oriented data delivery approaches. Minimum 3+ years of experience delivering cloud-based solutions on Azure, AWS, or Google Cloud Platform. Experience implementing data governance, metadata management, data quality frameworks, lineage, and security controls within modern data platforms. Experience designing reusable engineering standards, architecture patterns, and platform accelerators that support large-scale enterprise adoption. Experience engaging directly with business stakeholders to translate business requirements into scalable data product solutions. Strong communication and consulting skills with the ability to lead architecture workshops, executive discussions, and technical solution reviews. About NTT DATA: NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is hourly range of $65.00/Hour to $70.00/Hour. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits 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.

Overview DriveSavers is seeking an experienced software engineer with expertise in C/C++ and familiarity with storage technologies to help enhance our data recovery toolset. This is a highly technical, hands-on position focused on analyzing proprietary storage and backup formats, and developing robust recovery tools to retrieve critical customer data from damaged or inaccessible systems. Responsibilities Analyze proprietary on-disk formats and metadata to identify recovery strategies across all layers of the storage stack Design and implement libraries and applications in C/C++ (or other suitable languages) for parsing, reconstructing and extracting data from a variety of storage systems, file system and backup applications. Collaborate with engineering teams to validate tool output and improve recovery workflows Contribute to build system and automation infrastructure by integrating tools with source control, CI pipelines, and dependency managers (e.g., Git, GitHub Actions, Conan) Skills required Advanced proficiency in C/C++, with a focus on systems-level and performance-critical development Experience with binary data formats, storage technologies and file system internals Familiarity with backup solutions and technologies Familiarity with compression and encryption algorithms and implementations Bonus: Experience in static and dynamic binary analysis, malware analysis, or digital forensics (e.g., IDA Pro, Ghidra) Bonus: Working knowledge of Python or Rust for scripting and prototyping Additional Information This is a remote position open to candidates worldwide Availability for some collaboration during U.S. business hours is preferred Confidentiality and data security are critical -- background screening may be required Interested? If you're passionate about low-level development and solving complex data recovery challenges, we'd love to hear from you. Reach out directly for more information.

Remote- Senior Snowflake Data Engineer – Data Pipeline Modernization

Apetan Consulting

New York, NY

Senior Snowflake Data Engineer Data Pipeline Modernization Position: Senior Snowflake Data Engineer Location: Remote Duration: 6 Months Start Date: ASAP Ideally within 12 weeks Engagement: Contract Position Overview We are looking for a Senior Snowflake Data Engineer to help modernize the client`s data stack, reduce technical debt, and rapidly build scalable data pipelines into Snowflake. The primary focus will be on data ingestion, pipeline development, transformation, and landing m

Data Engineer

Apex Systems

San Antonio, TX

Job#: 3047677 Job Description: Data Engineer Location: San Antonio, Texas (Hybrid) Role Overview Our organization is seeking a Senior Data Engineer to join our data engineering team. The data engineer will be a key contributor in building and maintaining end-to-end data pipelines for analytics solutions within our Insights & Discovery Platform, which is based on Microsoft Azure Cloud and Azure Synapse Analytics. Key Responsibilities Design, develop, and implement analytics solutions on the Mi

Data Engineer

Mitchell Martin, Inc.

Jersey City, NJ

Data Engineer - Jersey City, NJ - Contract W2/C2C - $74.59-84.59 Per HRWe are looking for a skilled Data Engineer to join our team remotely. This contract position involves building systems to gather, store, and process large volumes of data for analysis. Key responsibilities include developing ETL pipelines, ensuring data quality, and optimizing data storage solutions. Proficiency in programming and cloud data tools is essential. Key ResponsibilitiesDevelop and maintain ETL pipelines for data p

Data Engineer

Vigna Solutions Inc.

Boca Raton, FL

Title : Senior Data Engineer with strong hands-on expertise in Snowflake, SQL, ETL/ELT, Data Modeling, Database Design, and Medallion Architecture Location : Boca Raton FL- Hybrid Model Experience : 10+ Yrs. Role Summary: We are looking for a Senior Data Engineer with strong hands-on expertise in Snowflake, SQL, ETL/ELT, Data Modeling, Database Design, and Medallion Architecture. The candidate should be experienced in building scalable data pipelines and working with cloud-based data platforms

DATA ENGINEER

AaraTechnologies Inc

Wyoming, MI

Data Engineer Retail & E-Commerce (2-3 Years Experience)Company: AaraTech Inc About the RoleAaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics platforms. This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career data professionals. Key ResponsibilitiesSupport ETL / ELT data pipelinesWrite SQL queries and basic P

Data Engineer

Apex Systems

Austin, TX

Job#: 3047926 Job Description: Data Engineer Location: Austin, Texas (Onsite) Role Overview We are seeking a Data Engineer to design, build, and maintain scalable data pipelines. This role involves partnering with business and technology teams to define data requirements for AI use cases and operational workflows. The position will focus on developing data models, integrations, and quality controls to support analytics, automation, and model performance. Key Responsibilities Design and build

Data Engineer

Mitchell Martin, Inc.

Rosemont, IL

Data Engineer - New York, NY- Contract - W2/C2C - $87-97 per HRSummaryThis onsite position in New York, NY, focuses on developing and maintaining data ecosystems and IT solutions. As a Data Engineer, you``ll be responsible for ensuring technology consistency and supporting strategic decisions. The role requires expertise in data processes, IT solutions, and technology standards. Key ResponsibilitiesDevelop and enforce technology policies and standards.Ensure data and processes adhere to approved

Data Engineer

Prestige Staffing

Charlotte, NC

Title: Data Engineer Pay: 50/hr W2 Duration: 4-6 month contract Location: 100% Remote Summary We are seeking a skilled and proactive Data Engineer to join a dynamic team working on building and maintaining robust data pipelines and infrastructure. Requirements Minimum of 3+ years of experience in data pipeline development and data platform design Strong expertise in ETL/ELT workflows and distributed data processing frameworks Proficiency with cloud platforms such as Azure, AWS, or Google Cloud

Data Engineer

Apex Systems

Lone Tree, CO

Job#: 3047313 Job Description: Data Engineer Location: Lone Tree, Colorado (Onsite) Role Overview We are seeking a hands-on Data Engineer to support the development of modern data products and AI-enabled analytics capabilities. The primary focus of this position is to design and build Answer Engine Optimization (AEO) data marts and supporting data pipelines in a cloud environment. The role will also help maintain an existing digital marketing data mart that supports business intelligence and

Data Engineer

People Profilers Vietnam

United States

Data Engineer We seek a Data engineer to support our high frequency trading activities and quantitative research. We recognise that effective research and trading strategies are built upon solid foundations in the collection, storage, and service of data. We trade at a number of exchanges globally and we are looking for a junior engineer interested in working with terabytes of data to join our team. As a Data Engineer, you are expected to build data pipelines that efficiently and reliably process and transform data captured across various systems as well as to design and implement storage solutions for enabling users to generate valuable signals and insights. Youll have a chance to work with Google Cloud technologies, Scala, and possibly introduce a new solution yourself if you can make a case for it. Responsibilities Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data. Perform all needed data cleansing and transformation to improve data quality. Work closely with traders and researchers to consume and analyze data faster and more efficiently. Deploy new data models that provide insightful and actionable analytics across the firm. Manage the entire data processing system and advising of any necessary infrastructure changes. Attributes Thinks clearly, learns quickly, solves problems, and can work with no supervision. Asks good questions. Communicates effectively. Development experience in more than one programming language, preferably different (e.g. strongly versus dynamically typed, functional versus object-oriented). Familiarity with software development practices. Works well in a team. Experience with databases and SQL. Experience with stream processing. Good to have Knowledge of electronic trading and tick data Knowledge of data modelling and database design. Experience of data processing/ETL implementation. Experience with distributed systems. Experience with messaging middleware such as Solace or Kafka. Experience with (NoSQL) databases such as Hadoop, Cassandra. Contact: Mr. Lâm Trịnh Email: Phone number: +84 393229552 Originally posted on Himalayas

Data Engineer

Mitchell Martin, Inc.

Rosemont, IL

Data Engineer - Charlotte, NC - Full Time - $42-52 per HRDescriptionWe are seeking a skilled engineer to join our team in building a hybrid data platform. This role involves integrating on-premises and cloud environments using industry-standard technologies. The position is based in Charlotte, NC, and requires hands-on experience with cloud platforms and data engineering tools. Key ResponsibilitiesConfigure and provision on-premises data environments, including service account creation and role

Data Engineer

SPECTRAFORCE TECHNOLOGIES Inc.

Newark, NJ

Title:Senior Data Engineer Duration: 06 months (potential to hire) Location: Newark, NJ Job Description We are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain scalable virtualized data products and semantic-layer solutions. The ideal candidate will have expertise in data integration, virtualization, API enablement, and cloud-based ETL development. This role will partner closely with Solution Architects, Tech Leads, AI Engineers, and Business

Data Engineer

Vings Technologies

San Jose, CA

Job Title: Data Engineer Location:- San Jose, CA - Onsite Contract: 6-9+ months. Experience: 9+ years Job Description Mandatory Skills:- SQL,Machine Learning Engineer (Generative AI & Cloud) The Opportunity We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking model