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245 results for Data Engineer jobs

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.
2026-08-17T00:00:00Z

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-08-04T00:00:00Z

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.
2026-08-10T00:00:00Z

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.
2026-08-17T00:00:00Z

Data Engineer

Southborough, MA
remote
Temporary / Contract
63.3365 - 73.337 USD / Hourly
We are looking for a Data Engineer to join a long-term, 100% remote contract opportunity. This role will focus on strengthening and modernizing the organization’s reporting environment by improving how data is collected, connected, transformed, and presented through Power BI. The ideal candidate will bring strong hands-on experience building enterprise-grade data solutions and will be comfortable working independently in an environment that values initiative, problem-solving, and practical execution. Responsibilities:• Design and enhance data pipelines that move information reliably across systems and support accurate business reporting.• Integrate data from multiple internal and external sources so platforms communicate effectively and deliver consistent outputs.• Refine and elevate existing Power BI solutions by improving data models, report performance, usability, and visualization quality.• Establish automated data refresh schedules and workflow orchestration to support timely and dependable reporting operations.• Build scalable transformation processes that prepare raw data for downstream analytics, dashboards, and operational insights.• Connect and manage end-to-end data flows to ensure information is routed to the proper destinations with strong data integrity.• Apply enterprise data engineering practices, including medallion architecture and Microsoft Fabric capabilities, to support a sustainable analytics framework.• Partner with stakeholders to identify gaps, propose effective solutions, and implement improvements with minimal oversight in a fast-moving environmen
2026-08-14T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary / Contract
50 - 55 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a Data Engineer (contract). In this role, you will support enterprise data initiatives and help build scalable data solutions that drive operational efficiency and business insights. This role will partner closely with business stakeholders, analysts, and technical teams to design, develop, and maintain data integrations that support reporting, analytics, and decision-making across the organization. This role is onsite in Austin, Tx. Key Responsibilities:<ul><li>Build and maintain data pipelines and integration processes across multiple systems and data sources.</li><li>Translate business requirements into scalable technical solutions.</li><li>Develop and maintain data architecture, integration, and process documentation.</li><li>Monitor, troubleshoot, and optimize data pipeline performance and reliability.</li><li>Partner with cross-functional teams to deliver high-quality data solutions.</li><li>Ensure data quality through validation, monitoring, and error-handling processes.</li><li>Resolve data-related issues and perform root-cause analysis.</li><li>Participate in code reviews, performance tuning, and continuous improvement initiatives.</li><li>Collaborate with analysts, developers, and business users to support reporting and analytics needs.</li><li>Contribute to shared data models, standards, and governance efforts.</li></ul>
2026-08-07T00:00:00Z

Data Engineer

Edina, MN
onsite
Permanent / Full Time
114000 - 141000 USD / Yearly
Seeking a Data Engineer to design, build, and maintain modern data pipelines, data models, reporting solutions, and analytics platforms. This role will support enterprise data initiatives using Microsoft Fabric, SAP, SQL, and Power BI while ensuring scalable, secure, and high-performing data solutions. Key Responsibilities:<ul><li>Build and maintain ETL/ELT data pipelines from SAP, SQL, and other enterprise data sources.</li><li>Develop and optimize data models within Microsoft Fabric for reporting and analytics.</li><li>Create and enhance Power BI dashboards and reports.</li><li>Utilize Power Apps and Power Automate to support data workflows.</li><li>Develop and support data science and analytical models.</li><li>Monitor and troubleshoot data pipelines, Lakehouse environments, and reporting solutions.</li><li>Support data governance initiatives by improving data quality and consistency.</li><li>Implement scalable, reusable solutions following CI/CD and best practices.</li></ul>
2026-07-22T00:00:00Z

Data Engineer

Phoenix, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions that support business intelligence, analytics, and operational reporting initiatives. This role will partner closely with data analysts, software developers, and business stakeholders to ensure the organization's data infrastructure is reliable, secure, and optimized for performance.The ideal candidate will have experience working with large datasets, modern cloud platforms, ETL/ELT processes, and data warehousing technologies. This position offers the opportunity to play a key role in developing enterprise-wide data solutions that drive business decision-making.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and integration processes.</li><li>Build, optimize, and support enterprise data warehouses and data lakes.</li><li>Develop ETL/ELT workflows to ingest, transform, and load data from various internal and external sources.</li><li>Collaborate with business and technical teams to define data requirements and deliver reliable reporting solutions.</li><li>Monitor and improve data quality, consistency, and governance practices.</li><li>Optimize database performance, query execution, and overall data architecture.</li><li>Implement data security, privacy, and compliance best practices.</li><li>Troubleshoot and resolve data-related issues across multiple systems and platforms.</li><li>Support business intelligence initiatives and provide clean, accessible datasets for reporting and analytics tools.</li><li>Create and maintain technical documentation, data dictionaries, and process documentation.</li></ul>
2026-07-31T00:00:00Z

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.
2026-08-18T00:00:00Z

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.
2026-08-13T00:00:00Z

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

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

Nashville, TN
onsite
Temporary / Contract
50 - 56 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-08-05T00:00:00Z

Data Engineer

Tucson, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions that support business intelligence, analytics, and operational reporting initiatives. This role will partner closely with data analysts, software developers, and business stakeholders to ensure the organization's data infrastructure is reliable, secure, and optimized for performance.The ideal candidate will have experience working with large datasets, modern cloud platforms, ETL/ELT processes, and data warehousing technologies. This position offers the opportunity to play a key role in developing enterprise-wide data solutions that drive business decision-making.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and integration processes.</li><li>Build, optimize, and support enterprise data warehouses and data lakes.</li><li>Develop ETL/ELT workflows to ingest, transform, and load data from various internal and external sources.</li><li>Collaborate with business and technical teams to define data requirements and deliver reliable reporting solutions.</li><li>Monitor and improve data quality, consistency, and governance practices.</li><li>Optimize database performance, query execution, and overall data architecture.</li><li>Implement data security, privacy, and compliance best practices.</li><li>Troubleshoot and resolve data-related issues across multiple systems and platforms.</li><li>Support business intelligence initiatives and provide clean, accessible datasets for reporting and analytics tools.</li><li>Create and maintain technical documentation, data dictionaries, and process documentation.</li></ul>
2026-07-31T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
62 - 70 USD / Hourly
Data EngineerLocation: 100% REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PADuration: Through 12/31/2026, extensions likely This is a senior-level Data Engineer opportunity supporting enterprise modernization and cloud migration initiatives within a large-scale Agile environment. The role focuses on designing and building modern data pipelines, enhancing legacy data platforms, and developing scalable data assets that support analytics and reporting. The ideal candidate is a hands-on Data Engineer with deep expertise in Databricks, PySpark, Python, and AWS services, and experience working within cloud-based data ecosystems undergoing transformation. Responsibilities:<ul><li>Design, develop, and maintain scalable data engineering solutions using Databricks, Python, PySpark, and AWS.</li><li>Build, optimize, and support ETL processes and data pipelines for inventory, supply, and yield data initiatives.</li><li>Develop and maintain data assets that support enterprise analytics and Tableau reporting environments.</li><li>Support cloud migration and modernization efforts by transforming legacy data platforms into modern cloud-based solutions.</li><li>Enhance and maintain existing data engineering workflows while delivering new data pipeline capabilities.</li><li>Collaborate with cross-functional teams, including engineering, analytics, and business stakeholders, within an Agile Release Train (ART) environment.</li><li>Contribute to reducing technical debt through modernization of legacy data systems.</li><li>Implement scalable and reliable data processing solutions leveraging AWS services and cloud-native technologies.</li></ul>
2026-07-31T00:00:00Z

Data Engineer

Chicago, IL
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued. Responsibilities: • Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem. • Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools. • Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting. • Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure. • Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma. • Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery. • Assess emerging technologies and recommend practical additions to the data stack as business needs evolve. • Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
2026-08-12T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes. Responsibilities: • Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases. • Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs. • Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows. • Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis. • Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience. • Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting. • Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use. • Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
2026-07-17T00:00:00Z

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.
2026-08-18T00:00:00Z

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
2026-08-12T00:00:00Z

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.
2026-08-10T00:00:00Z

Data Analyst

San Francisco, CA
remote
Temporary / Contract
35 - 40 USD / Hourly
We are looking for a Data Analyst to support reporting, dashboard development, and business-focused data investigations for a financial services team. This long-term, remote contract position is based in San Francisco, California, and offers the opportunity to work remotely while partnering closely with stakeholders to deliver clear, timely insights. The ideal candidate brings strong analytical expertise, hands-on experience with modern BI tools, and the ability to manage priorities effectively in a fast-paced, sprint-driven environment. Responsibilities:• Create and refine recurring reports and analytical outputs that help business partners make informed decisions.• Develop, update, and enhance dashboard solutions in Looker to meet evolving stakeholder needs.• Investigate data questions and resolve reporting issues related to business operations and client-focused requests.• Manage assigned work within a sprint-based workflow, handling incoming tickets and adjusting priorities as needed.• Collaborate with cross-functional stakeholders to gather requirements, confirm scope, and communicate delivery timelines.• Provide ongoing analytics support through BI and reporting platforms, translating data into actionable insights.• Maintain a balanced workload between stakeholder coordination and hands-on analysis, ensuring both communication and execution remain strong.
2026-08-18T00:00:00Z

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

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting. Responsibilities: • Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement. • Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms. • Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions. • Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks. • Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting. • Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions. • Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies. • Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards. • Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
2026-07-16T00:00:00Z

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