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114 results for Big Data Analytics jobs

Data Analyst

Centreville, MI
onsite
Temporary to Hire
31.6635 - 36.663 USD / Hourly
We are looking for a Data Analyst to join a non-profit organization in a contract-to-permanent capacity. This position will focus on building and improving data integration processes that support reporting, analytics, and day-to-day business operations. The role is ideal for someone who can turn complex data needs into dependable technical solutions while helping maintain strong data quality, performance, and governance standards. Responsibilities: • Develop and support data integration workflows that move information from internal systems, cloud environments, and external applications into centralized reporting platforms. • Create, refine, and maintain scalable data pipelines that deliver accurate and timely datasets for analytics, operational reporting, and business intelligence tools. • Investigate data inconsistencies, resolve processing issues, and establish validation checks to improve reliability and integrity across data assets. • Contribute to data warehouse and data lake efforts by shaping transformation rules, supporting data models, and improving overall processing performance. • Partner with stakeholders to understand reporting and analytical needs, then translate those needs into efficient and sustainable data solutions. • Prepare and maintain clear technical documentation covering data mappings, process logic, workflow design, and integration steps. • Enhance database and query performance while supporting scheduling, automation, and operational stability for recurring data jobs. • Provide dependable data support for visualization and reporting platforms such as Power BI, Tableau, and similar business intelligence tools. • Participate in data migration, application integration, and master data management initiatives as part of broader enterprise data projects. • Help uphold data governance, security, and retention standards across integration and reporting processes.
2026-07-09T00:00:00Z

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 Scientist

Irvine, CA
onsite
Temporary / Contract
35 - 40 USD / Hourly
We are looking for an experienced Sr Data Scientist to support data-driven initiatives for a long-term contract opportunity in Irvine, California. This role is ideal for someone who can translate complex information into practical insights, work across technical and business teams, and contribute to high-impact analytical solutions. The position calls for strong expertise in data analysis, database-focused development, and domain awareness related to healthcare or government-supported programs. Responsibilities: • Build and refine analytical models and data solutions that support business decisions and operational goals. • Partner with stakeholders to gather requirements, define data needs, and deliver clear reporting or predictive insights. • Develop, optimize, and maintain database queries, data pipelines, and structured datasets for analysis and reporting. • Evaluate large and complex data sources to identify trends, risks, and opportunities for process improvement. • Collaborate with distributed and offshore team members to coordinate deliverables and maintain project continuity. • Apply knowledge of healthcare-related programs such as TRICARE when interpreting data and shaping analytical outputs. • Support hiring or workforce-related analytics by organizing data, measuring outcomes, and presenting findings to leadership. • Document methodologies, assumptions, and technical processes to promote consistency and knowledge sharing. • Contribute to ongoing enhancements involving NIS-related data environments or connected systems as needed.
2026-07-13T00:00:00Z

Data Analyst I

Phoenix, AZ
onsite
Temporary / Contract
20 - 24 USD / Hourly
We are looking for a Data Analyst I to support operational reporting and continuous improvement efforts in Phoenix, AZ. This is a long-term contract position for someone who enjoys examining data, uncovering patterns, and turning findings into practical process enhancements. The role suits a proactive individual who investigates issues thoroughly, works well with cross-functional partners, and brings a thoughtful approach to solving business problems. Responsibilities:• Review reporting outputs and workflow activity to spot recurring issues, performance patterns, and opportunities to improve efficiency.• Examine underlying causes of operational challenges and recommend practical changes that reduce repeat work and support lasting improvement.• Analyze ticket and process data to identify bottlenecks, highlight trends, and inform better day-to-day business decisions.• Research unfamiliar or complex issues independently and work toward timely, well-supported resolution.• Create clear documentation for findings, recommendations, and updated procedures so improvements can be consistently applied.• Partner with internal stakeholders to simplify workflows, remove unnecessary steps, and strengthen overall operational effectiveness.• Support ongoing refinement of reporting and business processes through structured analysis and follow-through on identified actions.
2026-07-15T00:00:00Z

Data Analyst I

Indianapolis, IN
onsite
Temporary / Contract
25 - 30 USD / Hourly
We are looking for a detail-oriented Data Analyst I to support environmental data and compliance activities in Indianapolis, Indiana. This is a Long-term Contract position requiring onsite availability Monday through Friday, where the successful candidate will help maintain accurate records, review profile information, and support waste tracking operations. The role is well suited to someone who is highly organized, comfortable working with large data sets, and able to manage routine tasks with precision and consistency. Responsibilities: • Maintain database records and shared site content by entering and updating information for new, amended, and recertified profiles. • Post current approval documents and treatment standard notifications to shared platforms so records remain complete and accessible. • Examine incoming waste profile information for regulatory accuracy, land disposal restriction details, and inconsistencies across internal documentation. • Monitor operational data and generate recurring reports using Excel, including tasks that require advanced spreadsheet skills. • Verify shipment-related information to support accurate waste tracking and reporting. • Research missing or conflicting data and resolve discrepancies through careful review of available records. • Organize large volumes of information while managing multiple priorities in a fast-paced onsite environment.
2026-07-24T00:00:00Z

Senior Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
160000 - 180000 USD / Yearly
Our client is seeking a Senior Data Scientist to join their Data & Analytics organization and lead the development of advanced machine learning and predictive analytics solutions. This role is ideal for a hands-on data science leader who enjoys solving complex business problems, building production-level ML models, and partnering with cross-functional teams to deliver measurable business impact. The Senior Data Scientist will play a key role in developing and operationalizing machine learning solutions across areas including risk, fraud, customer analytics, marketing, and portfolio management. The successful candidate will bring strong technical expertise across the full machine learning lifecycle and the ability to translate complex data insights into actionable business recommendations. Responsibilities Lead the design, development, validation, deployment, and monitoring of machine learning and predictive analytics solutions. Build, optimize, and maintain production-grade models that drive business outcomes across risk, fraud detection, customer behavior, marketing analytics, and portfolio management. Perform exploratory data analysis, feature engineering, statistical analysis, and hypothesis testing to identify trends and actionable insights. Develop scalable analytics solutions using large structured and unstructured datasets. Translate complex analytical findings into clear recommendations for technical teams, business stakeholders, and leadership. Create dashboards, visualizations, and reporting solutions to communicate model performance, insights, and business impact. Partner with data engineering teams to define data requirements, improve data pipelines, and ensure data quality. Establish and promote best practices around machine learning development, MLOps, model governance, and analytics processes. Lead proof-of-concept initiatives evaluating emerging machine learning techniques and AI technologies. Own the complete model lifecycle, including feature engineering, training, validation, deployment, monitoring, retraining, and optimization. Mentor entry level data scientists through technical guidance, code reviews, and knowledge sharing. Provide technical leadership around modeling strategies, architecture decisions, and analytical methodologies.
2026-07-24T00:00:00Z

Senior Manager, Data & Analytics

Cedar Knolls, NJ
onsite
Permanent / Full Time
125000 - 150000 USD / Yearly
We are seeking a strategic and technically strong Senior Manager, Data & Analytics to lead the development of a connected data ecosystem that transforms complex information into actionable business insights. Based in Morris County, NJ, this role will integrate data from commercial, digital, operational, and customer-facing channels to improve decision-making and drive business performance. The ideal candidate combines advanced analytical expertise with strong business acumen and can lead both hands-on execution and long-term strategy. Responsibilities Enterprise Data Strategy & Integration<ul><li>Design and manage a unified data ecosystem integrating sales, marketing, CRM, web analytics, and operational data.</li><li>Develop scalable data models and frameworks that provide full-funnel visibility from acquisition through retention and revenue.</li><li>Establish governance, validation, and data quality standards to ensure accuracy and consistency.</li></ul>Advanced Analytics & Decision Science<ul><li>Develop scoring models, segmentation frameworks, and prioritization methodologies to identify growth opportunities.</li><li>Conduct statistical analysis, correlation studies, predictive modeling, and causal inference to uncover performance drivers.</li><li>Build attribution models to measure marketing and sales effectiveness.</li><li>Translate analytical findings into actionable business recommendations and strategic decision frameworks.</li></ul>Performance Optimization & Measurement<ul><li>Create measurement frameworks spanning awareness, engagement, conversion, retention, and customer lifetime value.</li><li>Identify opportunities and friction points throughout the customer journey.</li><li>Define, monitor, and optimize KPIs aligned with business growth objectives.</li></ul>Data Quality & Architecture<ul><li>Serve as the primary authority on data integrity, quality, completeness, and usability.</li><li>Develop methodologies for evaluating and scoring incoming datasets.</li><li>Design and document enterprise data architecture, data flows, schemas, and business logic.</li><li>Standardize key metrics, benchmarks, cohorts, scoring systems, and performance targets.</li></ul>Experimentation & Insights<ul><li>Develop testing and experimentation frameworks to evaluate strategic initiatives.</li><li>Design learning agendas, hypotheses, test panels, and measurement criteria.</li><li>Perform statistical validation, significance testing, outlier detection, and impact analysis.</li><li>Deliver scalable reporting solutions and narrative-driven insights that support decision-making and execution.</li></ul>Strategic Leadership<ul><li>Partner with executive leadership on growth strategy, investment decisions, and performance optimization.</li><li>Model business scenarios, quantify trade-offs, and support prioritization decisions.</li><li>Continuously refine strategies through data-driven analysis and validation.</li></ul>
2026-07-28T00:00:00Z

Data Reporting Analyst

Cleveland, OH
onsite
Temporary / Contract
28.5 - 33 USD / Hourly
We are looking for a Data Reporting Analyst to support critical HR-related data, reporting, and system operations for an organization based in Cleveland, Ohio. This Long-term Contract position offers the opportunity to work in a hybrid environment while helping maintain reliable data processes, reporting accuracy, and day-to-day system performance across multiple functional areas. The role is well suited for someone who combines strong analytical ability with hands-on experience in enterprise HR systems and can contribute to both operational support and process improvement. Responsibilities: • Oversee daily support activities for HR, payroll, benefits, student employment, and related data systems to help ensure consistent operations. • Investigate and resolve system and data issues across enterprise platforms, partnering with technical teams and business stakeholders as needed. • Coordinate testing efforts for updates, patches, and system enhancements to confirm functionality, accuracy, and compliance. • Administer user access, approval structures, and organizational security settings that affect HR and payroll processes. • Perform data validation, cleanup, reconciliation, and documentation activities to support accuracy across PeopleSoft, Workday, and connected systems. • Develop recurring and on-demand reports, including compliance-focused reporting and responses to formal data requests. • Analyze workflows, reporting structures, and system controls to identify opportunities for stronger efficiency and data quality. • Support activities related to system transition efforts by helping maintain clean data, reliable reporting, and documented processes across platforms.
2026-07-27T00:00:00Z

Business Analyst ( Data Analyst)

Pasadena, CA
onsite
Permanent / Full Time
85000 - 125000 USD / Yearly
We are looking for a detail-oriented Business Analyst to support data-driven decision-making for an agriculture-focused organization in Pasadena, California. This role centers on transforming complex business data into clear reporting, actionable insights, and scalable dashboards that improve operational visibility. The ideal candidate is comfortable working hands-on with large datasets, balancing recurring reporting needs with longer-term analytical initiatives, and identifying opportunities to streamline manual reporting through Power BI and advanced Excel solutions. Responsibilities: • Build, maintain, and enhance dashboards and recurring reports in Power BI to provide timely, accurate business insights. • Convert manually prepared Excel-based reporting into automated, refreshable visualizations and analytics solutions. • Analyze large and complex datasets to identify trends, business drivers, and opportunities for improved performance. • Partner with stakeholders to gather reporting needs, clarify business questions, and translate them into practical analytical outputs. • Use advanced Excel capabilities, including pivot tables, Power Query, and macros, to support reporting, validation, and ad hoc analysis. • Manage both day-to-day analytical support requests and longer-range projects with shifting priorities and deadlines. • Apply structured problem-solving and critical thinking to resolve data issues and improve reporting quality. • Review business processes and reporting gaps to recommend more efficient and scalable analytical approaches. • Support mapping or location-based analysis when needed using tools such as ArcGIS or similar platforms.
2026-07-17T00:00:00Z

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.
2026-07-20T00:00:00Z

Data Governance Analyst

Richmond, VA
onsite
Temporary / Contract
40 - 45 USD / Hourly
Our client is seeking a Data Governance Analyst to support enterprise data management and governance initiatives. This role works closely with business and technology stakeholders to improve data quality, maintain governance standards, and ensure data assets are well-defined, documented, and managed across the organization. Responsibilities<ul><li>Support data governance and enterprise data management initiatives.</li><li>Collaborate with business and technical teams to define, document, and maintain metadata, data definitions, and business glossaries.</li><li>Perform data analysis, profiling, validation, and reconciliation activities across multiple data sources.</li><li>Identify data quality issues, document findings, and support remediation efforts.</li><li>Maintain governance documentation, meeting records, processes, and related artifacts.</li><li>Assist with data stewardship activities, governance forums, workshops, and change management efforts.</li><li>Promote data literacy, data quality, and standardized data management practices across the organization.</li><li>Develop actionable insights and recommendations through analysis and investigation of data-related issues.</li></ul>
2026-07-27T00:00:00Z

Analytics Engineer

Des Moines, IA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Analytics Engineer to join a business services team in Urbandale, Iowa on a contract basis with the potential for a permanent role. This role focuses on building scalable data models and business intelligence solutions that turn complex information into clear, reliable insights. The ideal candidate brings strong experience in data warehousing concepts, BI semantic modeling, and modern analytics platforms across both on-premises and cloud environments. Responsibilities: • Design and maintain dimensional data models that support reporting needs, including star and snowflake structures, fact tables, dimension tables, and slowly changing dimensions. • Develop relational models using sound database design principles, ensuring appropriate use of keys, entity relationships, and data integrity standards. • Create and enhance semantic layers for reporting and analytics in Power BI, Microsoft Fabric, and tabular modeling environments. • Build calculations, measures, and reusable logic that improve reporting consistency and support trusted business definitions. • Partner with stakeholders to translate business questions into scalable BI models and actionable analytical solutions. • Apply data governance practices to improve model quality, consistency, and alignment with enterprise reporting standards. • Use DAX and Power Query to prepare, model, and optimize data for dashboards, reporting, and self-service analytics. • Contribute to analytics solutions that connect on-premises data environments with cloud-based platforms such as Fabric, Synapse, Databricks, or similar technologies.
2026-07-20T00:00:00Z

Data Analysis Manager

Washington, DC
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
We are looking for an Data Analysis Manager to support a economic consulting team with data-driven research and client-focused analysis in Washington, District of Columbia. This position is ideal for an early-career candidate with strong quantitative skills who enjoys working with large public datasets and translating findings into clear, useful insights. The role offers the opportunity to contribute to reports, presentations, and policy-related research in a collaborative environment with economists and consulting staff. Responsibilities:• Gather information from publicly available databases, prepare datasets for use, and perform detailed quantitative analysis to support consulting engagements.• Develop accurate and timely materials for clients, ensuring project updates and final outputs are delivered in a clear and effective manner.• Interpret data trends and economic findings to help inform client decisions related to policy matters and market developments.• Produce written content such as research summaries, reports, thought leadership pieces, and other analytical documents.• Communicate project progress and findings to clients through calls, virtual presentations, and in-person discussions when needed.• Partner with senior economists and other team members on research tasks, data requests, and day-to-day project coordination.• Create charts, tables, and presentation materials that communicate complex information in an accessible format using Excel and PowerPoint. All interested candidates in the Data Analysis Manager opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn
2026-07-08T00:00:00Z

Marketing Data Analyst

Troy, MI
onsite
Permanent / Full Time
70000 - 95000 USD / Yearly
We are looking for a Marketing Data Analyst to turn marketing and customer data into clear insights that strengthen campaign strategy and business decisions for a financial services organization in Troy, Michigan. This role combines reporting, audience analysis, market research, and cross-functional collaboration to improve marketing performance across multiple channels. The ideal candidate brings strong analytical ability, experience working with CRM or marketing data platforms, and a practical understanding of how data can support member-focused growth. Responsibilities: • Serve as the internal expert on the CRM marketing data platform and related tools, helping the team maximize system capabilities and maintain reliable data usage practices. • Create, run, and verify database queries while routinely reviewing data quality to support accurate reporting and dependable campaign execution. • Combine internal financial services information with external and industry data sources to enrich analysis and strengthen marketing initiatives. • Produce recurring reports and dashboards that track campaign outcomes, brand indicators, referral activity, and performance across paid, earned, and owned channels. • Partner with campaign owners and business stakeholders to interpret results, identify trends, and recommend adjustments that improve marketing effectiveness. • Conduct primary and secondary research to support decisions related to brand positioning, product and service opportunities, pricing considerations, and member engagement strategies. • Build audience segments using first-party and third-party data, applying analytical methods to refine targeting for prospecting, onboarding, re-engagement, and automated marketing journeys. • Work with vendors, IT, and internal teams to gather insights, support testing strategies, monitor lead progression from initial response through conversion, and fulfill specialized reporting or research requests.
2026-06-30T00:00:00Z

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.
2026-07-24T00:00:00Z

Data Engineer

Norristown, PA
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for a Data Engineer to drive the design and delivery of scalable data solutions that support critical business objectives within the oil and gas sector. This position is based in King of Prussia, Pennsylvania, and combines technical execution with leadership responsibilities, including guiding a small team and shaping engineering best practices. The ideal candidate brings strong expertise in modern data platforms, builds dependable pipelines and models, and works comfortably across complex source systems to produce high-quality data assets. Responsibilities: • Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making. • Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities. • Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems. • Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability. • Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives. • Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans. • Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle. • Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
2026-07-17T00:00:00Z

Data Engineer

Memphis, TN
onsite
Temporary / Contract
65 - 75 USD / Hourly
Location Requirements: • Local Memphis-area candidates only • Position is 100% onsite in Memphis, TN • Candidates must currently reside within the greater Memphis metropolitan area • Relocation assistance is not available • Must be authorized to work in the United States without current or future must be eligible to work in the U.S. • Third-party candidates, C2C arrangements, and subcontractors will not be considered We are seeking a Data Engineer / Data Warehouse Developer to design, develop, and maintain scalable data solutions that support enterprise reporting, analytics, and business operations. This role is responsible for building and optimizing data pipelines, integrating data from multiple sources, and ensuring the availability, accuracy, and performance of critical business data. The Data Engineer / Data Warehouse Developer will work closely with business stakeholders, analysts, and technical teams to develop data models, automate data processes, and support data-driven decision-making. Responsibilities include developing and maintaining ETL/ELT workflows, designing data warehouse solutions, optimizing SQL queries, troubleshooting data-related issues, and supporting cloud-based data platforms. The ideal candidate will possess a strong combination of database development, data integration, and programming experience with a passion for transforming complex data into actionable business insights. This individual must be comfortable working in a fast-paced environment while balancing multiple priorities and projects. Location Requirements: • Local Memphis-area candidates only • Position is 100% onsite in Memphis, TN • Candidates must currently reside within the greater Memphis metropolitan area • Relocation assistance is not available • Must be authorized to work in the United States without current or future must be eligible to work in the U.S. • Third-party candidates, C2C arrangements, and subcontractors will not be considered
2026-07-27T00:00:00Z

Data Engineer

Saint Charles, MO
onsite
Temporary to Hire
38 - 44 USD / Hourly
We are seeking a Data Engineer to join the Enterprise Applications team with a Higher Education client. This role is responsible for designing, building, and maintaining systems for collecting, storing, integrating, and analyzing data from multiple sources across the organization. The Data Engineer will support a major admissions technology initiative involving the implementation of Slate CRM and will serve as a key resource for data conversion, migration, integration development, and data architecture efforts. The role will also contribute to data governance, security, and AI readiness initiatives. This is a 6 month contract to hire role. Responsibilities<ul><li>Collaborate with stakeholders to understand reporting, data, and analytics requirements.</li><li>Design, implement, document, and maintain data lakes and related data architectures.</li><li>Support data conversion, migration, and integration activities associated with the Slate CRM implementation.</li><li>Develop and maintain integrations between enterprise systems and applications.</li><li>Create and maintain data models, including star schema and dimensional models.</li><li>Prepare data environments for artificial intelligence (AI) adoption and usage.</li><li>Recommend technical solutions that align with business requirements.</li><li>Provide technical support for enterprise data systems and users.</li><li>Develop and maintain technical documentation, user guides, and operational procedures.</li><li>Manage system upgrades and enhancements, including testing and documentation updates.</li><li>Troubleshoot data access, data quality, and integration issues.</li><li>Develop and implement security configurations and support compliance with governance standards.</li><li>Create data validation methods and processes to ensure data accuracy and reliability.</li><li>Monitor system and integration performance and identify improvement opportunities.</li><li>Collaborate with internal teams and external vendors regarding system enhancements, fixes, and integrations.</li><li>Participate in planning and implementation of data-related initiatives.</li></ul>
2026-07-06T00:00:00Z

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

Arlington, VA
onsite
Permanent / Full Time
150000 - 190000 USD / Yearly
We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products. Responsibilities: • Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data. • Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations. • Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services. • Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality. • Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals. • Assess new data sources, determine their value and fit, and implement effective ingestion approaches. • Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements. • Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning. • Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
2026-07-20T00:00:00Z

Data Engineer

Wood Dale, IL
onsite
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Data Engineer to help shape and scale a modern cloud-based data environment in Wood Dale, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating reliable data solutions from the ground up and turning disconnected information into trusted reporting assets. You will work closely with business and technical partners to build a strong data foundation that improves visibility, consistency, and decision-making. The role offers a hands-on chance to define standards, streamline data delivery, and support long-term scalability in a collaborative team setting. Responsibilities: • Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting. • Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems. • Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users. • Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting. • Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions. • Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python. • Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time. • Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.
2026-07-24T00:00:00Z

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.
2026-06-25T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
55 - 65 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>
2026-07-16T00:00:00Z

Data Engineer

Denver, CO
remote
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for an experienced Data Engineer to help shape and deliver Microsoft Fabric solutions that strengthen enterprise data, analytics, and reporting capabilities in Denver, Colorado. This Long-term Contract position will partner closely with business technology stakeholders to define scalable architecture, establish engineering standards, and improve the reliability of data platforms and reporting environments. The role requires hands-on expertise across Microsoft Fabric components, modern data integration approaches, and performance-focused design. You will also guide internal teams through best practices for governance, deployment, and operational readiness. Responsibilities: • Evaluate the current and planned Microsoft Fabric environment and identify effective architectural approaches for workspaces, storage, integration, and reporting solutions. • Create reusable data engineering frameworks for ingestion, transformation, and orchestration using Fabric pipelines, notebooks, Dataflows Gen2, Lakehouse structures, and Warehouse objects. • Plan connectivity and data movement strategies for enterprise applications, operational feeds, APIs, file-based inputs, and existing Microsoft or Azure data assets. • Define and recommend governance and security controls, including tenant configuration, workspace permissions, environment separation, sensitivity labeling, and lineage management. • Analyze capacity usage, workload distribution, refresh behavior, storage consumption, and query performance to improve scalability, cost efficiency, and platform stability. • Establish practical DevOps and release management standards for source control, deployment pipelines, environment promotion, documentation, and naming conventions across Fabric assets. • Develop monitoring guidance, operational metrics, alerting approaches, and support runbooks to assist with large-scale Fabric administration. • Lead knowledge-sharing sessions, technical walkthroughs, and documentation efforts so internal teams can effectively manage administration, engineering, governance, and Power BI-related activities.
2026-07-20T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to build, maintain, and optimize scalable data pipelines and platforms. This role will support enterprise reporting, analytics, and business intelligence initiatives while ensuring high-quality, reliable data is available across the organization.Responsibilities<ul><li>Design and develop data pipelines and ETL processes</li><li>Integrate data from multiple internal and external sources</li><li>Maintain and optimize cloud and on-premise data platforms</li><li>Support data warehousing and reporting initiatives</li><li>Monitor data quality and resolve data integrity issues</li><li>Work closely with analysts, developers, and business teams</li></ul>
2026-07-24T00:00:00Z

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