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128 results for Information Architect jobs

IT Security Specialist
  • Chicago, IL
  • onsite
  • Permanent / Full Time
  • 140000 - 155000 USD / Yearly
  • We are looking for an IT Security Specialist to help protect critical systems, information assets, and digital operations in Chicago, Illinois. This role focuses on strengthening security practices, supporting data protection efforts, and helping the organization maintain a strong governance framework. The ideal candidate brings a practical understanding of cybersecurity controls, database protection, and privacy standards, along with the ability to work effectively across technical environments.<br><br>Responsibilities:<br>• Monitor security controls and identify risks that could affect systems, databases, and sensitive files<br>• Develop and support safeguards that protect business information and improve overall cybersecurity posture<br>• Review access, permissions, and data handling practices to promote compliance with privacy and governance standards<br>• Investigate security issues, document findings, and recommend corrective actions to reduce future exposure<br>• Partner with technical teams to strengthen database security and improve protection of critical digital assets<br>• Maintain security documentation, procedures, and reports to support audits and ongoing risk management
  • 2026-08-05T00:00:00Z
Instructional Systems Designer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 25.726 - 29.788 USD / Hourly
  • We are looking for an Instructional Systems Designer to support healthcare education initiatives in Pennsylvania. This Long-term Contract opportunity is ideal for a creative learning specialist who combines instructional design expertise with strong visual design and media production capabilities. The role focuses on building engaging curriculum materials, facilitator guides, presentations, and digital learning assets that make complex topics easy to understand. Candidates should bring a portfolio or work samples that demonstrate strong design, instructional thinking, and multimedia development.<br><br>Responsibilities:<br>• Create blended learning materials that combine instructor-led content, digital education, visual communications, and interactive media for training programs.<br>• Develop curriculum assets such as participant manuals, facilitator guides, slide presentations, pre-work, post-session resources, and case-based learning materials.<br>• Partner with experienced team members and subject matter experts to shape storyboards, organize content, and translate business needs into effective learning experiences.<br>• Design high-quality graphics for print and digital use while maintaining consistency with organizational branding and visual standards.<br>• Produce and edit multimedia content, including photography, audio, video, motion graphics, and animation, to enhance educational and communication deliverables.<br>• Build wireframes, mockups, and responsive interface concepts for web-based and mobile learning experiences.<br>• Support production logistics by preparing equipment, managing media files, completing post-production tasks, and maintaining organized archives of creative assets.<br>• Use content platforms such as SharePoint and learning systems such as Workday Learning to publish, organize, or deploy training materials.<br>• Contribute to advanced learning projects that emphasize practical skill development and measurable performance outcomes.
  • 2026-07-28T00:00:00Z
Business Intelligence (BI) Engineer
  • Columbus, OH
  • remote
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a Business Intelligence (BI) Engineer to join a contract opportunity with permanent potential in Columbus, Ohio. In this role, you will create insightful reporting solutions, transform data into meaningful business intelligence, and help strengthen the organization’s analytics capabilities. The position combines hands-on dashboard development with database support, making it ideal for someone who enjoys turning complex data into clear, reliable information for decision-makers.<br><br>Responsibilities:<br>• Create and enhance interactive dashboards, visual reports, and analytics solutions using Power BI, with exposure to other visualization platforms considered beneficial.<br>• Build and refine data models, semantic structures, and reporting datasets that support accurate and scalable business analysis.<br>• Partner with business teams to understand reporting goals and convert operational needs into practical business intelligence deliverables.<br>• Write and improve queries, stored procedures, views, and data transformation processes that enable dependable reporting and analytics workflows.<br>• Oversee SQL Server database health by monitoring performance, maintaining security, and supporting system availability.<br>• Provide support for data integration, reporting services, and analytics operations across the broader data environment.<br>• Perform routine database administration tasks such as maintenance, troubleshooting, backup and recovery support, and performance optimization.<br>• Uphold data accuracy, consistency, and governance standards across both reporting assets and database platforms.
  • 2026-07-28T00:00:00Z
Business Intelligence (BI) Engineer
  • Greenville, SC
  • onsite
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <p>Robert Half is hiring! We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Greenville, South Carolina. In this role, you will design and deliver high-performing, scalable, and secure BI solutions, enabling actionable insights across various business domains such as Policy, Claims, and Billing. You will collaborate with stakeholders and data engineering teams to build reusable models and optimize reporting solutions using industry-leading tools.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop reporting solutions using data from multiple systems, including Policy, Claims, Billing, and third-party sources.</p><p>• Create reusable semantic and data models to support enterprise-wide analytics.</p><p>• Develop interactive dashboards and operational reports using tools such as Power BI and Cognos Analytics.</p><p>• Implement security measures, including role-based and row-level access controls, for BI solutions.</p><p>• Collaborate with stakeholders in Claims, Underwriting, and Finance to refine and standardize metrics.</p><p>• Build and optimize semantic models and executive-level dashboards leveraging Azure Data Lake and Power BI.</p><p>• Design star schemas for reporting and analytics, ensuring data lineage and governance.</p><p>• Perform data validation and reconciliation to maintain accuracy and consistency of BI outputs.</p><p>• Document data definitions, transformations, and business logic to support audit and regulatory reporting requirements.</p><p>• Optimize report performance through advanced query tuning and aggregation strategies.</p>
  • 2026-08-04T00:00:00Z
Business Intelligence (BI) Engineer
  • Miami, FL
  • onsite
  • Permanent / Full Time
  • 140000 - 160000 USD / Yearly
  • We are looking for an experienced Business Intelligence (BI) Engineer to design and enhance reporting solutions that help leaders make informed business decisions. This position will focus on building scalable dashboards, translating complex operational and financial data into clear insights, and supporting analysis across inventory, cost, and performance metrics. Based in North Miami Beach, Florida, the role requires strong expertise in Power BI and a practical understanding of enterprise data environments.<br><br>Responsibilities:<br>• Develop interactive Power BI dashboards and reporting frameworks that convert raw business data into meaningful, actionable insights.<br>• Partner with finance, operations, and cross-functional stakeholders to define reporting needs and deliver analytics aligned with business priorities.<br>• Create, optimize, and maintain data models, calculated measures, and visualizations using DAX and other BI best practices.<br>• Analyze standard costing, variance trends, and inventory performance to support operational visibility and financial decision-making.<br>• Integrate and interpret data from systems such as NetSuite to improve reporting accuracy and consistency across the organization.<br>• Assess existing business intelligence processes and recommend improvements that strengthen reporting reliability and user adoption.<br>• Support change management efforts related to reporting enhancements, new dashboards, and evolving analytics requirements.<br>• Ensure data quality by validating source information, troubleshooting discrepancies, and refining reporting logic as needed.
  • 2026-08-05T00:00:00Z
Business Intelligence (BI) Engineer
  • West Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 150000 - 180000 USD / Yearly
  • We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
  • 2026-07-29T00:00:00Z
AI Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are seeking a <strong>Senior AI Engineer</strong> to design, develop, and deploy enterprise-grade AI solutions leveraging <strong>Microsoft Azure</strong>, <strong>C#</strong>, and the <strong>.NET ecosystem</strong>. This role will focus on building intelligent applications, integrating Large Language Models (LLMs), developing scalable APIs, and delivering AI-powered solutions that drive business value.</p><p>This is an excellent opportunity for a hands-on engineer who enjoys working at the intersection of software engineering, cloud architecture, and artificial intelligence.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and maintain AI-powered applications using <strong>C# and .NET</strong></li><li>Build and deploy solutions utilizing <strong>Azure AI Services</strong>, <strong>Azure OpenAI</strong>, and related Azure technologies</li><li>Create scalable microservices, APIs, and backend systems to support AI workloads</li><li>Develop Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise data sources</li><li>Integrate AI capabilities into existing business applications and platforms</li><li>Collaborate with product, engineering, and business stakeholders to define AI use cases and technical requirements</li><li>Optimize AI performance, scalability, security, and cost within Azure environments</li><li>Establish best practices for prompt engineering, model evaluation, observability, and governance</li><li>Participate in architecture discussions and mentor junior developers and engineers</li><li>Stay current with emerging AI technologies, frameworks, and industry trends</li></ul><p><br></p>
  • 2026-07-23T00:00:00Z
Documentation Specialist
  • Fresno, CA
  • onsite
  • Temporary / Contract
  • 20 - 22 USD / Hourly
  • <p>Robert Half is seeking an experienced <strong>Documentation Specialist</strong> for a contract-to-hire opportunity with a valued client in Fresno, CA. Reporting to the Operations Manager, this role is responsible for preparing, reviewing, and managing export documentation to ensure timely, accurate, and compliant international shipments. The ideal candidate will have 3–5 years of hands-on experience in export documentation and a strong understanding of international shipping procedures, customs requirements, and global trade compliance. This individual should be highly organized, detail-oriented, and able to manage multiple shipments while meeting strict deadlines.</p>
  • 2026-07-28T00:00:00Z
System Analyst
  • Nashville, TN
  • onsite
  • Permanent / Full Time
  • 90000 - 100000 USD / Yearly
  • <p>Our client is seeking a <strong>System Analyst</strong> to support and enhance our manufacturing technology environment. This role is ideal for someone who enjoys solving complex technical issues, improving operational efficiency, and partnering with cross-functional teams to optimize manufacturing systems.</p><p><strong>Key Responsibilities</strong></p><ul><li>Provide support, troubleshooting, and maintenance for Manufacturing Execution Systems (MES/QMS) and SAP applications used in production environments</li><li>Develop and maintain SQL queries, reports, dashboards, and data visualizations using Microsoft SQL Server, SSRS, and Power BI</li><li>Gather business requirements and implement system enhancements to improve manufacturing operations</li><li>Support and maintain shop floor databases, servers, and system integrations</li><li>Partner with Production, Engineering, and IT teams to identify and implement process improvements</li><li>Automate workflows and streamline manufacturing processes to increase efficiency and data accuracy</li><li>Monitor system performance and proactively resolve application and database issues</li></ul>
  • 2026-07-27T00:00:00Z
Data Engineer
  • Erlanger, KY
  • onsite
  • Temporary / Contract
  • 38 - 44 USD / Hourly
  • <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Manage the collection, review, and entry of technical specifications for raw materials and packaging components within designated data and specification platforms.</p><p>• Verify that material records are complete, accurate, and aligned with company standards, compliance expectations, and approved documentation.</p><p>• Apply consistent naming structures, formatting rules, and data standards to improve usability across regional and enterprise systems.</p><p>• Investigate missing, conflicting, or outdated information in material specifications and resolve issues through coordination with cross-functional stakeholders.</p><p>• Maintain material master records and ensure proper connections between specification data, system entries, and related documentation.</p><p>• Build, revise, and validate bills of materials to support production readiness, product updates, supplier changes, and ongoing improvement efforts.</p><p>• Partner with master data, procurement, operations, and technical teams to enhance data governance practices and streamline data management processes.</p><p>• Monitor assigned project activities and data deliverables to help keep timelines on track and support broader documentation standardization efforts.</p>
  • 2026-08-06T00:00:00Z
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.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
  • 2026-08-04T00:00:00Z
Data Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are looking for a Data Engineer to design, build, and optimize scalable data pipelines that support analytics, reporting, and business intelligence initiatives. This individual will work closely with data analysts, business stakeholders, and development teams.</p><p>Responsibilities</p><ul><li>Develop and maintain ETL/ELT pipelines</li><li>Design and optimize data models and database structures</li><li>Integrate data from multiple internal and external sources</li><li>Improve data quality, governance, and accessibility</li><li>Support reporting tools and analytics platforms</li><li>Monitor and troubleshoot pipeline performance</li></ul><p><br></p>
  • 2026-07-29T00:00:00Z
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.<br><br>Responsibilities:<br>• Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making.<br>• Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities.<br>• Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems.<br>• Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability.<br>• Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives.<br>• Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans.<br>• Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle.<br>• Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
  • 2026-07-17T00:00:00Z
Data Engineer
  • Edina, MN
  • onsite
  • Permanent / Full Time
  • 114000 - 141000 USD / Yearly
  • <p>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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><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
  • <p>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&#39;s data infrastructure is reliable, secure, and optimized for performance.</p><p>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.</p><p>Key Responsibilities</p><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><p><br></p>
  • 2026-07-31T00:00:00Z
Data Engineer
  • Memphis, TN
  • onsite
  • Temporary / Contract
  • 65 - 75 USD / Hourly
  • <p><strong>Location Requirements: </strong></p><p><strong> • Local Memphis-area candidates only </strong></p><p><strong> • Position is 100% onsite in Memphis, TN </strong></p><p><strong> • Candidates must currently reside within the greater Memphis metropolitan area </strong></p><p><strong> • Relocation assistance is not available </strong></p><p><strong> • Must be authorized to work in the United States without current or future must be eligible to work in the U.S. </strong></p><p><strong> • Third-party candidates, C2C arrangements, and subcontractors will not be considered </strong></p><p> </p><p>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. </p><p> 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. </p><p> 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. </p><p><br></p><p><strong> Location Requirements: </strong></p><p><strong> • Local Memphis-area candidates only </strong></p><p><strong> • Position is 100% onsite in Memphis, TN </strong></p><p><strong> • Candidates must currently reside within the greater Memphis metropolitan area </strong></p><p><strong> • Relocation assistance is not available </strong></p><p><strong> • Must be authorized to work in the United States without current or future must be eligible to work in the U.S. </strong></p><p><strong> • Third-party candidates, C2C arrangements, and subcontractors will not be considered</strong></p>
  • 2026-07-27T00:00:00Z
Data Engineer
  • Austin, TX
  • onsite
  • Temporary / Contract
  • 50 - 55 USD / Hourly
  • <p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a Data Engineer <strong>(contract).</strong> 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. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><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
  • 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.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data.<br>• Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations.<br>• Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services.<br>• Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality.<br>• Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals.<br>• Assess new data sources, determine their value and fit, and implement effective ingestion approaches.<br>• Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements.<br>• Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning.<br>• 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
  • 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.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that ingest, transform, and deliver complex datasets for analytics and reporting.<br>• Develop and optimize Databricks solutions using Python, Spark, PySpark, and Delta Lake to support high-performance data processing.<br>• Create and enhance cloud-based data architecture in Azure, ensuring reliability, maintainability, and efficient data access.<br>• Partner with cross-functional teams in IT, science, and business to translate research and operational needs into effective data engineering solutions.<br>• Implement data models and warehousing structures that improve reporting accuracy, usability, and long-term scalability.<br>• Manage integration of biological, genomic, or other life sciences data sources while preserving data quality and consistency.<br>• Write and refine database objects such as queries, stored procedures, and functions to support downstream applications and analysis.<br>• Contribute to Agile delivery practices by participating in planning, prioritization, and iterative solution development.
  • 2026-08-03T00:00:00Z
Data Engineer
  • Nashville, TN
  • onsite
  • Temporary / Contract
  • 50 - 56 USD / Hourly
  • <p>Robert Half is seeking a <strong>Contract Data Engineer</strong> 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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality &amp; Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
  • 2026-08-05T00:00:00Z
Data Engineer
  • Tucson, AZ
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>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&#39;s data infrastructure is reliable, secure, and optimized for performance.</p><p>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.</p><p>Key Responsibilities</p><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><p><br></p>
  • 2026-07-31T00:00:00Z
Data Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 62 - 70 USD / Hourly
  • <p><strong>Data Engineer</strong></p><p><strong>Location: <u>100% REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PA</u></strong></p><p><strong>Duration: Through 12/31/2026, extensions likely</strong></p><p><br></p><p>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.</p><p><br></p><p><strong>Responsibilities:</strong></p><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><p><br></p>
  • 2026-07-31T00:00:00Z
Data Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>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.</p><p>Responsibilities</p><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><p><br></p>
  • 2026-07-24T00:00:00Z
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.<br><br>Responsibilities:<br>• Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem.<br>• Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools.<br>• Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting.<br>• Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure.<br>• Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma.<br>• Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery.<br>• Assess emerging technologies and recommend practical additions to the data stack as business needs evolve.<br>• Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
  • 2026-07-31T00:00:00Z
Data Engineer
  • Madison, WI
  • onsite
  • Temporary to Hire
  • 57 - 66 USD / Hourly
  • We are looking for an experienced Data Engineer to join a team in Madison, Wisconsin, in a contract capacity with the potential for a permanent role. This position will focus on building and optimizing modern data solutions that support scientific and business decision-making, with particular relevance to bioinformatics and life sciences data. The ideal candidate brings deep expertise in cloud-based data engineering, strong hands-on experience with Databricks and Azure, and the ability to collaborate effectively with technical and non-technical partners.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines and integration workflows that support reporting, analytics, and downstream scientific applications.<br>• Develop and optimize cloud-based data platforms using Databricks, Python, Spark, and Delta Lake to manage large and complex datasets efficiently.<br>• Create and enhance data models, database objects, and processing logic within relational database environments to improve reliability and performance.<br>• Implement data warehousing practices that enable trusted, organized, and accessible data for research and operational use.<br>• Work with biological, genomic, and other omics data to support analysis, interpretation, and delivery of usable datasets for life sciences teams.<br>• Partner with stakeholders across IT, research, and business functions to translate data needs into practical engineering solutions.<br>• Apply strong analytical thinking to troubleshoot data issues, refine processes, and ensure alignment with scientific requirements.<br>• Contribute within Agile delivery environments by participating in planning, iterative development, and cross-functional collaboration.
  • 2026-08-06T00:00:00Z
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