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231 results for Data Engineer in Usa

Data Engineer

Erlanger, KY
onsite
Temporary / Contract
38 - 44 USD / Hourly
We are looking for a detail-focused Engineer/Analyst to join a Long-term Contract assignment supporting technical data quality and material information management in northern Kentucky. In this role, you will help maintain accurate, standardized data for raw materials and packaging components so teams can move product development, supplier onboarding, and manufacturing activities forward efficiently. This position works closely with research, quality, procurement, operations, and master data partners to strengthen consistency across systems and improve the reliability of material records. This role will be onsite 4 days a week and 1 day remote. Must be comfortable working in a lab/plant manufacturing setting. YOU MUST LIVE IN KY or OH to be considered. No option for remote work. Responsibilities:• Manage the collection, review, and entry of technical specifications for raw materials and packaging components within designated data and specification platforms.• Verify that material records are complete, accurate, and aligned with company standards, compliance expectations, and approved documentation.• Apply consistent naming structures, formatting rules, and data standards to improve usability across regional and enterprise systems.• Investigate missing, conflicting, or outdated information in material specifications and resolve issues through coordination with cross-functional stakeholders.• Maintain material master records and ensure proper connections between specification data, system entries, and related documentation.• Build, revise, and validate bills of materials to support production readiness, product updates, supplier changes, and ongoing improvement efforts.• Partner with master data, procurement, operations, and technical teams to enhance data governance practices and streamline data management processes.• Monitor assigned project activities and data deliverables to help keep timelines on track and support broader documentation standardization efforts.
2026-08-21T00:00:00Z

Data Engineer

Boston, MA
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Data Engineer to support enterprise data movement and application integration efforts in Boston, Massachusetts. This Long-term Contract position will focus on building, maintaining, and enhancing custom services that transfer, load, and transform data across multiple systems. The role works closely with technical and business teams to deliver reliable integration solutions using .NET/C#, APIs, and modern deployment practices. Responsibilities: • Design, support, and improve custom integration services that move data between enterprise platforms and applications. • Build and maintain ETL processes for data loading, transformation, and system-to-system exchange. • Develop microservice-based solutions in .NET/C# to replace larger legacy integration components where needed. • Create and support API-driven integrations, including services that rely on REST and SOAP protocols. • Partner with business analysts, developers, and solution stakeholders to translate operational needs into technical data workflows. • Monitor data pipelines and integration jobs, troubleshoot failures, and resolve performance or reliability issues. • Contribute to deployment and release activities using Azure DevOps or comparable CI/CD tools. • Support integrations involving key enterprise platforms such as Salesforce and higher education systems when applicable.
2026-08-24T00:00:00Z

Data Engineer

San Francisco, CA
remote
Temporary / Contract
65 - 70 USD / Hourly
We are looking for a Contract Data Engineer to support financial systems and data operations in San Francisco, California. This is a remote on-going contract. This role will work across Finance, Systems, and Engineering to improve data reliability, strengthen integrations, and enhance platforms that support billing, accounts payable, and quote-to-cash workflows. The ideal candidate brings deep technical expertise with NetSuite and Snowflake, along with strong coding skills to diagnose issues, streamline processes, and build scalable solutions in a complex systems environment. Responsibilities:• Build, monitor, and refine data pipelines that move financial and transactional information across internal platforms and enterprise systems.• Investigate data issues, resolve integration failures, and improve the overall accuracy and consistency of business-critical datasets.• Develop and maintain middleware solutions that connect NetSuite, Salesforce, Snowflake, and custom applications.• Partner with Finance, Systems, and Engineering stakeholders to deliver technical enhancements that support accounting operations and downstream reporting.• Implement improvements within NetSuite and related financial systems to better support billing, accounts payable, and quote-to-cash processes.• Troubleshoot code and system behaviors using SQL, Python, and related tools to identify root causes and restore reliable performance.• Support integration workflows between Salesforce and NetSuite, ensuring stable data exchange and operational continuity.• Evaluate and contribute to automation initiatives, including AI-enabled workflow opportunities that can reduce manual effort and improve efficiency.
2026-08-19T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
Data Engineer Company OverviewA leading food manufacturing and distribution organization is seeking a Data Engineer to support enterprise data initiatives and drive business intelligence capabilities. Based in Los Angeles, California, the company serves a large network of customers through innovative operations, quality-focused processes, and data-driven decision making. This is an opportunity to join a collaborative team where technology and analytics play a critical role in business growth and operational excellence. Role SummaryThe Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that support reporting, analytics, and business operations. This role will partner closely with analysts and cross-functional stakeholders to transform raw data into reliable, actionable insights. The ideal candidate brings experience in manufacturing or food production environments and possesses strong expertise in data warehousing, ETL development, cloud technologies, and reporting platforms. Key Responsibilities<ul><li>Design, develop, and maintain scalable ETL and ELT data pipelines.</li><li>Build and optimize data workflows that consolidate information from multiple business systems.</li><li>Partner with business stakeholders and analysts to translate data requirements into technical solutions.</li><li>Develop and maintain data models and warehouse structures to support reporting and analytics.</li><li>Monitor, troubleshoot, and enhance data pipelines to ensure data accuracy, integrity, and availability.</li><li>Optimize data storage and retrieval processes for performance, scalability, and reliability.</li><li>Support business intelligence initiatives by delivering clean, trusted datasets for reporting and dashboards.</li><li>Create and maintain technical documentation for data architecture, processes, and workflows.</li><li>Collaborate with engineering, analytics, and business teams to drive data-driven decision making.</li><li>Stay current on emerging technologies and best practices in data engineering and analytics.</li></ul>Additional Details<ul><li>Work model: On-site for the first 90 days, transitioning to a hybrid schedule thereafter</li><li>Join a team of analytics professionals supporting enterprise reporting and data initiatives</li><li>Opportunity to have a direct impact on operational and business performance through data solutions</li></ul>
2026-08-20T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
140000 - 145000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in the Metro Atlanta area. This role will focus on designing, developing, and optimizing data pipelines within a modern Azure cloud environment. The ideal candidate will have strong hands-on experience with Azure and Databricks, excellent problem-solving abilities, and the ability to work closely with Data Scientists and business stakeholders to deliver reliable, scalable data solutions. Responsibilities: • Design, develop, maintain, and optimize scalable data pipelines and ETL/ELT processes. • Troubleshoot data pipelines that are missing SLAs by identifying bottlenecks and implementing solutions to improve performance and processing efficiency. • Work with large volumes of structured and unstructured data while maintaining strong data quality and reliability. • Develop and optimize data solutions using Python, SQL, PySpark, Azure, and Databricks. • Build and manage Databricks pipelines and workflows within a production environment. • Rework and improve existing data structures to support analytics, forecasting, and machine learning initiatives. • Partner closely with Data Scientists to develop and maintain data pipelines supporting predictive modeling and machine learning projects. • Analyze existing data environments and proactively identify opportunities to improve performance, reliability, and data quality. • Collaborate with technical teams and business stakeholders to understand requirements and translate complex data concepts into practical solutions. • Communicate effectively with customers and stakeholders, including those without a technical background. • Work independently in a fast-paced environment while adapting to changing priorities and project requirements. • Apply strong critical thinking and analytical skills to solve complex data engineering challenges. • Support data governance and data management best practices across the organization. • Utilize DevOps practices and tools, including Azure DevOps, to support efficient development and deployment processes. • Contribute to the development of modern data and analytics capabilities that support business intelligence, forecasting, and AI initiatives.
2026-08-19T00:00:00Z

Data Engineer

Cincinnati, OH
onsite
Temporary / Contract
67.45 - 78.1 USD / Hourly
We are looking for a Data Engineer to support scalable data solutions for a Long-term Contract position based in Cincinnati, Ohio. This role focuses on building reliable data pipelines, optimizing data movement across platforms, and enabling efficient access to high-quality datasets for business and technical teams. The ideal candidate brings strong hands-on experience with modern big data tools and a practical approach to designing robust ETL workflows. Responsibilities: • Design and maintain end-to-end data pipelines that process large and complex datasets with a focus on performance and reliability. • Develop ETL workflows using Python and Spark to transform raw data into structured, usable formats for downstream consumption. • Work with Hadoop-based environments to manage distributed data processing and storage activities at scale. • Integrate streaming and messaging components such as Kafka to support near real-time data ingestion and event-driven processing. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen stability and data quality. • Collaborate with analysts, developers, and other stakeholders to understand data needs and translate them into technical solutions. • Improve existing data architecture by refining workflows, reducing processing bottlenecks, and increasing operational efficiency.
2026-08-27T00:00:00Z

Data Engineer

Madison, WI
onsite
Temporary to Hire
66.5 - 77 USD / Hourly
We are looking for a Data Engineer to join a contract opportunity with permanent potential, supporting data-intensive work in Madison, Wisconsin. This role focuses on building and optimizing modern data solutions that enable scientific and business teams to access reliable, scalable information. The ideal candidate brings deep experience with cloud-based engineering, strong Databricks expertise, and the ability to work across technical and research-focused stakeholders. Responsibilities: • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver complex datasets for analytics and reporting. • Develop and optimize Databricks solutions using Python, Spark, PySpark, and Delta Lake to support high-performance data processing. • Create and enhance cloud-based data architecture in Azure, ensuring reliability, maintainability, and efficient data access. • Partner with cross-functional teams in IT, science, and business to translate research and operational needs into effective data engineering solutions. • Implement data models and warehousing structures that improve reporting accuracy, usability, and long-term scalability. • Manage integration of biological, genomic, or other life sciences data sources while preserving data quality and consistency. • Write and refine database objects such as queries, stored procedures, and functions to support downstream applications and analysis. • Contribute to Agile delivery practices by participating in planning, prioritization, and iterative solution development.
2026-08-21T00:00:00Z

Data Engineer

Spring, TX
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support scalable data solutions for a long-term contract opportunity in The Woodlands, Texas. This role focuses on designing and optimizing data pipelines, integrating large-scale data sources, and enabling reliable access to critical business information. The ideal candidate will bring strong hands-on experience with modern big data technologies and a practical approach to building efficient ETL workflows. Responsibilities: • Build, maintain, and enhance robust data pipelines to process large volumes of structured and unstructured information. • Develop ETL workflows that transform raw data into reliable datasets for analytics, reporting, and operational use. • Use Python and Apache Spark to engineer high-performance data processing solutions across distributed environments. • Work with Apache Hadoop ecosystems to manage storage and support scalable data operations. • Integrate streaming and event-driven data using Apache Kafka to improve data availability and timeliness. • Monitor data workflows, troubleshoot processing issues, and implement improvements that increase reliability and efficiency. • Collaborate with technical and business stakeholders to understand data needs and translate them into practical engineering solutions. • Document pipeline architecture, data flow logic, and operational procedures to support maintainability and team knowledge sharing.
2026-08-27T00:00:00Z

Data Engineer

Pittsburgh, PA
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Data Engineer to support client initiatives in Pittsburgh, Pennsylvania by building dependable data solutions that enable reporting, analytics, and operational insight. This Long-term Contract position is ideal for someone who is detail oriented and enjoys working across data engineering and business intelligence functions in modern analytics environments. The role focuses on creating scalable data flows, strengthening data accessibility, and partnering with stakeholders to turn business needs into practical technical outcomes. Responsibilities: • Create and maintain robust data pipelines that move and transform information across multiple systems and platforms. • Develop efficient database objects, optimize query performance, and structure data models to support analytics and reporting needs. • Connect and consolidate data from business applications, databases, APIs, and cloud-based environments. • Produce dashboards and reporting tools using Power BI or comparable visualization technologies for business users. • Help manage and enhance data warehouse, data lake, and cloud data platform ecosystems. • Improve the consistency, performance, and usability of data assets through monitoring and quality-focused practices. • Collaborate with technical teams and business partners to define reporting requirements and deliver scalable data solutions. • Investigate and resolve issues affecting data integrations, processing workflows, and reporting outputs.
2026-08-26T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-08-21T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Temporary to Hire
47.5 - 60 USD / Hourly
We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment. Responsibilities:• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model
2026-08-21T00:00:00Z

Data Engineer

Dallas, TX
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making. Responsibilities: • Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments. • Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability. • Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases. • Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations. • Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights. • Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes. • Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.
2026-08-21T00:00:00Z

Data Engineer

Appleton, WI
onsite
Temporary to Hire
57 - 70 USD / Hourly
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure. Responsibilities: • Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations. • Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources. • Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes. • Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads. • Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making. • Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes. • Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives. • Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
2026-08-18T00:00:00Z

Data Engineer

San Diego, CA
remote
Temporary / Contract
27 - 30 USD / Hourly
We are seeking a hands-on Data Engineer to support the final phase of an ERP implementation. This role will focus on data integration, ETL development, migration support, reconciliation, and post-go-live stabilization. The ideal candidate has experience with ERP systems, financial data, and large-scale data migrations. Key Responsibilities<ul><li>Build and test the reverse integration between Yardi and Abila MIP, ensuring Yardi transactions successfully post back to MIP as the system of record.</li><li>Develop and support financial data extracts, mappings, reconciliation processes, and exception handling.</li><li>Execute Trial Balance (TB) and Job Cost Adjustment (JCA) data loads and perform reconciliation to source systems.</li><li>Support budget and forecast ETL processes as requirements are finalized.</li><li>Resolve data migration and integration issues identified during UAT.</li><li>Assist with data validation efforts for Finance, Accounting, and HR teams prior to go-live.</li><li>Perform recurring MIP data refreshes through cutover.</li><li>Provide post-go-live hypercare support and issue resolution.</li></ul>
2026-08-18T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a full time opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. Responsibilities:• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
2026-08-26T00:00:00Z

Data Engineer (Databricks)

Seffner, FL
onsite
Temporary / Contract
110000 - 140000 USD / Yearly
Hybrid schedule out of Seffner, FL office – 3 days in, 2 days WFH6 month Contract-To-Permanent (client will be converting this person to a permanent employee at 6 months) Position OverviewWe are seeking a Data Engineer with deep expertise in Databricks to design, develop, and optimize scalable data solutions. This role will focus heavily on Databricks technologies including Lakeflow Declarative Pipelines, Lakebase, Genie, and AI/BI Dashboards. The ideal candidate will have strong Python and SQL skills, hands-on experience building modern data pipelines, and a proven track record working within the Databricks ecosystem. This role is ideal for a highly technical Data Engineer who is passionate about the Databricks ecosystem and enjoys building scalable, modern data solutions that drive business value. Key Responsibilities<ul><li>Design, develop, and support data solutions within the Databricks platform</li><li>Build and optimize Lakeflow Declarative Pipelines for data ingestion and transformation</li><li>Work with Lakebase to support scalable, high-performance data architecture</li><li>Leverage Databricks Genie to enhance data accessibility and business user interactions</li><li>Develop and support AI/BI Dashboards to deliver actionable business insights</li><li>Create, optimize, and maintain complex SQL queries and Python-based data workflows</li><li>Collaborate with business stakeholders, analysts, and engineering teams to deliver data-driven solutions</li><li>Ensure data quality, performance, scalability, and reliability across the data platform</li></ul>
2026-08-27T00:00:00Z

Data and Knowledge Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Data & Knowledge Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications. Role SummaryThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management. Key Responsibilities<ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Data Engineer III

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department. Solution Design & Technical Leadership<ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul>Data Infrastructure & Platform<ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul>Data Quality, Governance & Collaboration<ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul>
2026-07-30T00:00:00Z

Data Solutions Engineer

Minneapolis, MN
onsite
Temporary / Contract
60 - 75 USD / Hourly
We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making. Responsibilities: • Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration. • Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes. • Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources. • Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs. • Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases. • Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency. • Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives. • Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions. • Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.
2026-08-25T00:00:00Z

Software Engineer - Data Science

Naperville, IL
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Software Engineer - Data Science to join a growing organization in Naperville, Illinois and help strengthen the platform capabilities that support machine learning and data science initiatives. This Long-term Contract position will partner closely with infrastructure, development, and data-focused teams to build reliable engineering foundations, streamline delivery practices, and improve day-to-day productivity. The ideal candidate brings a strong software engineering background along with experience in cloud environments, automation, and modern deployment workflows. Responsibilities: • Design and enhance platform solutions that enable data scientists and machine learning engineers to develop, test, and deploy their work efficiently • Build, maintain, and optimize CI/CD workflows to support dependable releases and consistent engineering standards • Develop automation for infrastructure provisioning and configuration management using infrastructure-as-code approaches • Manage and improve cloud-based resources and services to ensure scalable, secure, and resilient platform operations • Collaborate with engineering and data teams to remove workflow bottlenecks and strengthen the overall developer experience • Support software delivery best practices across the full development lifecycle, from code integration through production deployment • Contribute to application and platform development efforts using technologies such as C#, .NET, ASP.NET, JavaScript, and React.js • Integrate and support data platform components, including Snowflake, within broader engineering solutions
2026-08-26T00:00:00Z

Data Architect

Springfield, MA
onsite
Temporary / Contract
55 - 58 USD / Hourly
We are seeking an experienced Clinical Data Architect / Data Management Specialist to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.
2026-08-24T00:00:00Z

Data Analyst

Battle Creek, MI
onsite
Permanent / Full Time
65000 - 81000 USD / Yearly
We are looking for an experienced Data Analyst to join a mission-driven non-profit organization in Battle Creek, Michigan. This onsite position is ideal for someone who is detail oriented and can quickly step into a lean team environment and turn complex information into clear, decision-ready reporting. The role centers on analyzing data, developing impactful dashboards, and supporting fraud-focused insights through strong business intelligence practices. Responsibilities: • Analyze organizational data to identify trends, patterns, and actionable insights that support reporting needs and operational decisions. • Build and maintain Power BI dashboards and reports that present information in a clear, accurate, and useful format for stakeholders. • Produce recurring and ad hoc reports to meet business needs, with a focus on timely and reliable delivery. • Support fraud-related analysis by reviewing data for irregularities, risk indicators, and areas requiring further investigation. • Work with data sources and warehousing structures to improve reporting quality, consistency, and accessibility. • Collaborate closely with a small onsite team, contributing independently while helping strengthen overall analytics capacity. • Translate raw data into business intelligence outputs that help leadership monitor performance and make informed choices.
2026-08-11T00:00:00Z

Data Analyst

New Orleans, LA
onsite
Temporary to Hire
26 - 28 USD / Hourly
We are looking for a detail-oriented Data Analyst to join a Financial Services team in New Orleans, Louisiana on a contract basis with the potential for a permanent position. This role focuses on reviewing data tied to potential fraud activity, identifying irregularities in invoices and transactions, and turning findings into clear recommendations for business partners. The ideal candidate is comfortable working with large data sets, performing research, and using analytical tools to support fraud detection and investigation efforts. Responsibilities: • Analyze transaction and invoice data to detect unusual patterns, inconsistencies, and indicators of potentially fraudulent activity. • Investigate flagged records by conducting research, validating supporting details, and documenting findings in a clear and organized manner. • Use Microsoft Excel and related analytical methods to sort, reconcile, and interpret large volumes of financial information. • Partner with internal stakeholders to communicate trends, summarize risks, and support decisions related to fraud prevention and resolution. • Review invoice discrepancies and related exceptions to determine root causes and recommend next steps. • Maintain accurate reporting on case activity, analytical results, and emerging fraud patterns for ongoing monitoring. • Support anti-fraud initiatives by refining data review processes and improving the quality of investigative insights.
2026-08-17T00:00:00Z

Data Analyst

Southport, CT
onsite
Temporary / Contract
25 - 35 USD / Hourly
Data Analyst – Data Visualization and AI ToolsLocation: Stamford/Norwalk areaWork Arrangement: OnsiteJob SummaryWe are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.Key Responsibilities<ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul>
2026-08-07T00:00:00Z

Data Analyst

Pinecrest, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Data Analyst We are looking for a Data Analyst to turn raw data into clear, actionable insight. This role builds reports and dashboards, digs into the numbers, and helps stakeholders make better decisions.Responsibilities<ul><li>Write and optimize SQL queries to extract and transform data from multiple sources</li><li>Build and maintain dashboards and reports in Power BI or Tableau</li><li>Analyze trends and deliver findings to business stakeholders</li><li>Partner with departments to gather requirements and define metrics</li><li>Ensure data quality, accuracy, and consistency across reporting</li><li>Document data definitions, sources, and reporting logic</li></ul>
2026-08-24T00:00:00Z