Add your latest resume to match with open positions.

309 results for Data Analyst Technology jobs

Business Analytics/Data Analyst

San Ramon, CA
remote
Temporary / Contract
70 - 85 USD / Hourly
Robert Half Management Resources is looking for an experienced Business Analytics/Data Analyst to support one of our clients on interim basis. This long-term contract position focuses on analyzing, transforming, and validating complex financial and operational data to help ensure accurate loading into a Workday environment. The role is ideal for someone who combines strong General Ledger knowledge with advanced Microsoft Fabric and Power BI capabilities. You will work alongside project, finance, and systems teams to improve data quality, strengthen reconciliation processes, and deliver actionable reporting throughout the engagement. Responsibilities:• Lead data preparation, transformation, and validation activities across multiple legacy financial and operational source systems for Workday-related data loads.• Examine General Ledger data, chart of accounts relationships, and transaction-level records to confirm accuracy, completeness, and alignment with target structures.• Design, enhance, and maintain Microsoft Fabric pipelines, staging layers, and data models that support large-scale enterprise analytics and migration work.• Create Power BI dashboards and reconciliation reporting that provide visibility into data quality, exception tracking, migration status, and balancing results.• Partner with finance stakeholders, functional leads, and subject matter experts to investigate discrepancies, clarify mapping rules, and resolve data issues.• Perform detailed analysis of high-volume, multi-source datasets to identify anomalies, trends, and risks that could affect migration outcomes.• Support testing, cutover readiness, and post-load verification activities by monitoring results and confirming that loaded data meets business expectations.
2026-07-28T00:00:00Z

Business Analytics/Data Analyst

Rutherford, NJ
remote
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a leading organization in the drink and beverages industry in Rutherford, New Jersey. This Long-term Contract position focuses on transforming complex data into meaningful business insights through reporting, analysis, and business intelligence solutions. The role is ideal for someone who is detail oriented and can work across datasets, identify trends, and help stakeholders make informed operational and strategic decisions. Responsibilities: • Develop and maintain analytical reports, dashboards, and recurring data outputs that support business planning and performance tracking. • Examine large data sets to identify patterns, exceptions, and actionable findings that guide business decisions. • Write and optimize Microsoft SQL queries to extract, validate, and organize data from multiple sources. • Partner with business teams to understand reporting needs and translate them into effective business intelligence solutions. • Use BusinessObjects tools to create and enhance reporting assets that improve visibility into key metrics. • Support data modeling and documentation efforts using Erwin Data tools to strengthen data structure and governance. • Perform data quality reviews to ensure reporting accuracy, consistency, and reliability across deliverables. • Present analytical findings in a clear, business-focused manner to stakeholders and cross-functional teams.
2026-07-22T00:00:00Z

Business Analytics/Data Analyst

Stamford, CT
onsite
Temporary / Contract
45 - 60 USD / Hourly
We are looking for an experienced Business Analytics/Data Analyst to support Commercial Operations for our client located in the Lower Fairfield, CT area. This Long-term Contract position will lead data-driven planning, reporting, and insight generation while serving as the business lead for the Salesforce platform. The role partners closely with commercial and technology stakeholders to strengthen data quality, improve visibility into performance, and turn complex information into practical recommendations that support growth. Responsibilities:• Lead business analytics efforts for the Commercial Operations function by translating data into clear insights that support strategic and day-to-day decisions.• Oversee the business-side ownership of Salesforce, ensuring the platform remains reliable, well-governed, and aligned with commercial reporting needs.• Build and maintain dashboards, scorecards, and recurring reports that provide visibility into pipeline activity, revenue trends, customer performance, and operational metrics.• Develop forecasting models and analytical frameworks that help leadership evaluate opportunities, measure results, and improve planning accuracy.• Partner with cross-functional teams to define reporting requirements, standardize key metrics, and improve the consistency of commercial data across systems.• Perform ad hoc analysis using SQL and business intelligence tools to answer urgent business questions and uncover performance drivers.• Establish and reinforce data governance practices that improve the accuracy, completeness, and usability of Salesforce and related commercial data.• Act as a liaison between business users and technical teams to support enhancements, resolve data issues, and ensure reporting solutions meet operational needs. If you are interested in this Business Analytics/Data Analyst consulting role please email your resume in a Word format to joseph.colagiacomo@roberthalf with the subject line: "Business Analytics/Data Analyst"
2026-07-21T00:00:00Z

Business Analytics/Data Analyst

DeKalb, IL
onsite
Temporary / Contract
50 - 55 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support pricing and sales reporting activities for a Contract position based in Dekalb, Illinois. This opportunity focuses on improving how customer pricing files are prepared and maintained by turning manual, inconsistent spreadsheet processes into reliable and efficient analytical workflows. The role will partner with sales and business stakeholders to strengthen data accuracy, standardization, and reporting quality in a semiconductor and electrical components manufacturing environment. Responsibilities: • Build and refine analytical processes that support the preparation of recurring customer price lists across weekly, monthly, and quarterly cycles. • Examine pricing inputs tied to market-based drivers and translate them into structured, dependable reporting outputs for business users. • Standardize spreadsheet models, calculation logic, and reporting formats to improve consistency across customer-facing pricing documents. • Use SQL, Excel VBA, and macros to reduce repetitive manual work and streamline data preparation activities. • Perform data validation and reconciliation to identify discrepancies, improve accuracy, and support confident business decision-making. • Partner with sales and cross-functional stakeholders to gather reporting needs, clarify pricing rules, and deliver practical analytics solutions. • Develop business intelligence views and ad hoc analyses that highlight trends, exceptions, and performance insights related to pricing activity. • Document workflows, assumptions, and controls to support maintainability, transparency, and operational efficiency over time.
2026-07-24T00:00:00Z

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

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 Analyst 1 (0-2 years)

Chicago, IL
remote
Temporary / Contract
32 - 37 USD / Hourly
We are looking for a motivated early-career Data Analyst to support utility and sustainability-related data work for a long-term contract opportunity based in Chicago, Illinois. This position is ideal for an entry-level candidate or a detail-oriented individual who enjoys organizing complex information, improving data quality, and turning numbers into practical business insight. You will work closely with finance, real estate, and sustainability partners to help monitor utility spending, strengthen reporting accuracy, and support informed decision-making in a hybrid environment with three in-office days each week. Responsibilities: • Review and maintain large volumes of utility data, including invoices for services such as electricity, gas, water, and waste, to help ensure records are complete and accurate. • Examine billing information against agreements and supporting documents to identify discrepancies, support reconciliations, and promote cost control. • Clean, standardize, and organize data from multiple sources so it can be used reliably for tracking, analysis, and reporting. • Assist with dashboards, summaries, and visual reports that present findings clearly to finance, real estate, sustainability, and leadership stakeholders. • Prepare data for sustainability-related reporting, including utility consumption, emissions tracking, and other environmental performance measures. • Document data sources, assumptions, and review steps to strengthen auditability, consistency, and internal controls. • Partner with internal teams as well as outside vendors or utility providers to resolve data questions and improve reporting quality. • Contribute to process improvements in invoice handling, data validation, and recurring analysis to make reporting more efficient over time.
2026-07-28T00:00:00Z

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

Contact Data Analyst

Glendale, AZ
onsite
Temporary / Contract
40 - 50 USD / Hourly
We are seeking a detail-oriented Contract Data Analyst to support a contract data remediation and quality improvement initiative within a Contract Lifecycle Management (CLM) environment. This project will focus on reviewing contract records, validating key contract information, correcting data discrepancies, and improving the accuracy of contract repositories used for reporting, compliance, and business operations. This is an excellent opportunity for professionals with backgrounds in contract administration, legal operations, contract management, procurement, paralegal services, or compliance. Responsibilities<ul><li>Review commercial contract records within a contract management platform</li><li>Validate contract metadata against executed agreements</li><li>Identify and correct inaccurate or incomplete contract information</li><li>Review key contract terms including:</li><li>Effective dates</li><li>Expiration dates</li><li>Renewal provisions</li><li>Notice periods</li><li>Contracting parties</li><li>Signatures and approvals</li><li>Perform quality assurance reviews and document findings</li><li>Research and resolve contract data discrepancies</li><li>Partner with legal, finance, procurement, operations, and business stakeholders</li><li>Support contract repository cleanup and data governance efforts</li><li>Provide status updates on remediation progress</li></ul>
2026-07-22T00:00:00Z

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 Specialist

Old Bridge, NJ
onsite
Permanent / Full Time
45000 - 55000 USD / Yearly
Benefits:<ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul>Responsibilities<ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
2026-07-16T00:00:00Z

Data Security Analyst

Chicago, IL
onsite
Temporary / Contract
79.1635 - 91.663 USD / Hourly
We are looking for a Data Security Analyst to support and strengthen email and messaging security operations for a Contract position based in Chicago, Illinois. This role focuses on protecting the organization from phishing, malware, impersonation, and other email-borne threats while improving the reliability and security of mail delivery. The ideal candidate brings deep experience with Proofpoint, hybrid messaging environments, and user-focused security practices, along with the ability to communicate clearly across technical and non-technical teams. Responsibilities: • Investigate and resolve complex email security and delivery issues, including routing failures, encryption challenges, quarantine events, and user-reported security concerns. • Review dashboards, system logs, and alert activity to identify and respond to phishing attempts, malware incidents, spoofing, and impersonation threats. • Administer and optimize Proofpoint Essentials and related integrations to maintain strong protection across the messaging environment. • Configure and maintain email security controls, including encryption settings, policy rules, and quarantine management processes. • Lead initiatives involving Proofpoint enhancements, platform updates, and rollout of new security capabilities. • Develop clear guidance and training materials for IT teams and end users on secure email practices and available protection tools. • Support security awareness efforts by helping manage phishing simulation activities and user education programs. • Collaborate with broader security operations by connecting email security insights with SIEM platforms and other enterprise security tools where applicable.
2026-07-27T00:00:00Z

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

AI Data Analyst

Hartland, WI
onsite
Permanent / Full Time
110000 - 140000 USD / Yearly
We are looking for an AI Data Analyst to join our team in Greater Milwaukee. In this role, you will turn business challenges into practical data, automation, and AI solutions that improve daily operations and support stronger decision-making. You will work closely with internal stakeholders to evaluate processes, uncover meaningful insights, and deliver scalable tools that align technology with organizational goals. This role requires the candidate to be onsite, with a hybrid schedule. Responsibilities:• Create and launch AI-enabled processes, tools, and agents that streamline operational activities and improve team productivity.• Develop and support connections between internal applications and third-party platforms using APIs, data flows, and related integration methods.• Evaluate business and operational data to surface patterns, identify gaps, and recommend opportunities for process improvement.• Produce dashboards, reporting assets, and analytical tools that help teams monitor performance and make informed decisions.• Partner with stakeholders across the organization to gather requirements, define success measures, and convert business needs into technical solutions.• Test, refine, and deploy solutions in real-world environments, making ongoing enhancements based on user feedback and results.• Investigate and resolve issues involving systems, workflows, and integrations to maintain reliable performance.• Promote sound practices for data quality, governance, security, and long-term scalability across tools and workflows.• Build a strong understanding of company operations, systems, and industry-specific processes to ensure solutions are accurate and relevant.
2026-07-17T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-07-11T00:00:00Z

Business Analyst - Digital

Dallas, TX
onsite
Permanent / Full Time
105000 - 125000 USD / Yearly
We are looking for a Business Analyst - Digital to help shape and improve web-based products and digital experiences in Dallas, Texas. In this role, you will partner with business leaders and technical teams to define needs, clarify priorities, and support the delivery of effective solutions. The ideal candidate brings strong analytical thinking, clear documentation skills, and experience working in digital, web, or platform-focused environments. Responsibilities: • Lead discovery efforts with stakeholders to capture business objectives, functional needs, and user expectations for digital initiatives. • Create organized business requirements, process flows, and supporting documentation that guide development and delivery teams. • Collaborate closely with engineers and product partners to convert business goals into practical system and platform solutions. • Analyze current workflows to identify inefficiencies and recommend improvements that enhance performance and user experience. • Support backlog refinement, requirement clarification, and solution validation within Agile Scrum delivery cycles. • Conduct gap analysis to compare existing capabilities with future-state needs and help define actionable next steps. • Review project deliverables and business outcomes to confirm solutions align with documented requirements and stakeholder expectations.
2026-07-16T00:00:00Z

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

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

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

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

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

1 3