Search jobs now Find the right job type for you Create a job alert Explore how we help job seekers Contract talent Full-Time talent Learn how we work with you Executive search Finance and Accounting Technology Marketing and Creative Legal Administrative and Customer Support Technology Risk, Audit and Compliance Finance and Accounting Digital, Marketing and Customer Experience Legal Operations Human Resources 2027 Salary Guide Demand for Skilled Talent Report Job Market Outlook Press Room Tech insights Labor market overview AI in recruiting Navigating the AI era Staffing for small businesses Cost of a bad hire Browse jobs Find your next hire Our locations

Add your latest resume to match with open positions.

278 results for Data Engineer in Usa

Data Analyst
  • Middletown, DE
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions.<br><br>Responsibilities:<br>• Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications.<br>• Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems.<br>• Analyze current data structures to support imports, exports, migration planning, and process automation opportunities.<br>• Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations.<br>• Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency.<br>• Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders.<br>• Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
  • 2026-09-24T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • onsite
  • Temporary to Hire
  • 18 - 21 USD / Hourly
  • <p>Robert Half is looking for a detail-oriented Data Analyst to join a Financial Services organization based in the Philadelphia, Pennsylvania area on a contract basis with the potential for a permanent position. In this Data Analyst role, you will support transaction processing, documentation review, fraud screening, and customer-facing coordination to help move finance deals through to completion. The ideal Data Analyst candidate is comfortable working in a fast-paced environment, balancing accuracy with responsiveness while partnering with both internal teams and external business contacts. Put your talents to the test and get your career going in the right direction by clicking the apply button today. If you have any questions, please contact Robert Half at 215-568-4580 and mention job reference #03720-0013511486.</p><p><br></p><p>As a Data Analyst your duties will include but aren&#39;t limited too:</p><p>• Partner with business development teams to advance equipment finance transactions, resolve incomplete files, and help drive timely deal closure.</p><p><br></p><p>• Prepare, distribute, track, and maintain finance agreements and supporting records using electronic document platforms for approved transactions.</p><p><br></p><p>• Review executed contracts and funding packages to confirm completeness, accuracy, and compliance with established company policies and controls.</p><p><br></p><p>• Update transaction records in lending and CRM systems to ensure correct billing setup, servicing details, and documentation history.</p><p><br></p><p>• Communicate with customers, vendors, and brokers to address outstanding conditions, clarify agreement terms, and support closing requirements.</p><p><br></p><p>• Conduct welcome calls with new customers to verify key contract details and confirm documentation aligns with approved terms.</p><p><br></p><p>• Perform fraud reviews, due diligence checks, and funding authorization steps while documenting findings thoroughly.</p><p><br></p><p>• Create and issue purchase orders to third-party equipment dealers and provide status updates to internal stakeholders as needed.</p><p><br></p><p>• Contribute to audit readiness, follow internal control procedures, and assist with special projects requested by credit or operations leadership.</p>
  • 2026-09-23T00:00:00Z
Data Analyst
  • Norwalk, CT
  • onsite
  • Temporary / Contract
  • 35 - 45 USD / Hourly
  • <p><strong>Job Summary</strong></p><p>We are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.</p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul><p><br></p>
  • 2026-10-01T00:00:00Z
Data Analyst
  • Burnsville, MN
  • onsite
  • Temporary to Hire
  • 31.6635 - 36.663 USD / Hourly
  • <p>We are looking for a Data Analyst. In this role, you will turn complex business and project data into clear reporting that helps leaders improve performance, measure progress, and make informed decisions. The position is well suited for someone who enjoys building dashboards, uncovering trends, and working closely with stakeholders across the organization. You will play a key role in strengthening visibility into operations through accurate analysis, practical insights, and scalable reporting solutions.</p><p><br></p><p>Responsibilities:</p><p>• Examine information from multiple platforms and datasets to identify meaningful patterns, exceptions, and performance insights.</p><p>• Create and refine Power BI dashboards and visual reports that support operational monitoring and leadership decision-making.</p><p>• Develop core reporting tools for business operations, project oversight, and executive-level performance measurement.</p><p>• Produce scheduled and on-demand analyses that translate data findings into useful recommendations for internal teams.</p><p>• Track department metrics and key indicators to highlight progress, risks, and areas requiring attention.</p><p>• Collaborate with managers and business partners to define reporting needs and convert them into effective analytics solutions.</p><p>• Review source data for completeness and accuracy to maintain dependable and consistent reporting across functions.</p><p>• Analyze trends and irregularities to uncover opportunities for process improvement and stronger business outcomes.</p><p>• Communicate findings to management through clear summaries, visualizations, and actionable recommendations.</p><p>• Support project-focused reporting by working with Microsoft Project data and helping streamline reporting through automation.</p>
  • 2026-10-06T00:00:00Z
Data Analyst
  • Atlanta, GA
  • onsite
  • Permanent / Full Time
  • 75000 - 95000 USD / Yearly
  • <p>Robert Half is working with a client in the metro-Atlanta area seeking a Data Analyst.</p><ul><li>Build reports and dashboards</li><li>Analyze trends and datasets</li><li>Write SQL queries</li><li>Clean and validate data</li><li>Present insights to stakeholders</li><li>Support business decisions</li></ul>
  • 2026-10-02T00:00:00Z
Data Analyst
  • Nashville, TN
  • remote
  • Permanent / Full Time
  • 100000 - 120000 USD / Yearly
  • We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment.<br><br>Responsibilities:<br>• Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations.<br>• Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness.<br>• Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work.<br>• Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents.<br>• Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes.<br>• Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps.<br>• Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed.<br>• Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
  • 2026-10-01T00:00:00Z
Data Analyst
  • Boca Raton, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Analyst to support enterprise decision-making through advanced analytics, business intelligence, and data-driven recommendations. This Long-term Contract position is based in Boca Raton, Florida, with remote work flexibility and occasional travel as needed. The person in this role will turn complex operational and financial data into clear insights, practical reporting tools, and predictive models that help leaders improve performance and identify new opportunities.<br><br>Responsibilities:<br>• Analyze current and historical business data to uncover trends, risks, and opportunities that influence operational and strategic outcomes.<br>• Create and maintain dashboards, scorecards, and key performance indicators that give leadership clear visibility into business performance.<br>• Write advanced SQL queries and use Python to extract, transform, and evaluate large datasets from multiple enterprise platforms.<br>• Translate analytical findings into concise recommendations, executive-ready presentations, and decision support materials for senior stakeholders.<br>• Develop statistical, forecasting, and automated analytical solutions that strengthen reporting efficiency and business planning.<br>• Partner with operations, quality, finance, IT, business intelligence, and data science teams to define requirements and deliver practical analytics solutions.<br>• Perform ad hoc analysis in support of strategic initiatives, leadership requests, and continuous improvement efforts.<br>• Validate data integrity, investigate anomalies, and coordinate with technical teams to resolve data quality issues.<br>• Build repeatable analytical workflows and reusable code that reduce manual effort and improve scalability across reporting processes.
  • 2026-09-30T00:00:00Z
Data Analyst
  • Irvine, CA
  • onsite
  • Temporary / Contract
  • 30.4 - 33 USD / Hourly
  • <p>We are looking for a detail-oriented Data Analyst to support operations in Irvine, California through accurate data management and insightful reporting. This Long-term Contract position focuses on maintaining data quality, producing timely analyses, and helping stakeholders review financial and operational information with confidence. The role is well suited for someone who is comfortable working with large datasets, identifying irregular patterns, and using Power BI to turn information into clear business insight.</p><p><br></p><p>Responsibilities:</p><p>• Maintain and update datasets to ensure records remain complete, accurate, and ready for reporting needs.</p><p>• Prepare ad hoc analyses and recurring reports that help teams monitor business performance and respond to emerging questions.</p><p>• Review financial information for consistency, highlight unusual findings, and support follow-up analysis when discrepancies appear.</p><p>• Build and refine Power BI dashboards and visual reports that present trends, exceptions, and key metrics in a clear format.</p><p>• Examine transactional and operational data to detect suspicious activity and contribute to fraud-related analysis efforts.</p><p>• Support investigations by organizing relevant data, validating source information, and summarizing findings for internal stakeholders.</p><p>• Perform routine data quality checks and resolve inconsistencies to improve reliability across reporting outputs.</p>
  • 2026-10-05T00:00:00Z
Epic Data Engineer
  • Milwaukee, WI
  • onsite
  • Permanent / Full Time
  • 75000 - 90000 USD / Yearly
  • <p>We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. <strong><em>Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.</p><p>• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.</p><p>• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.</p><p>• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.</p><p>• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.</p><p>• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.</p><p>• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.</p>
  • 2026-09-28T00:00:00Z
Database Developer
  • Lehi, UT
  • remote
  • Permanent / Full Time
  • 160000 - 180000 USD / Yearly
  • <p>Staff Database Engineer</p><p>This Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on <strong>Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability</strong>. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.</p><p>What You&#39;ll Do</p><ul><li>Lead <strong>large-scale database migrations involving TB+ datasets</strong>, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing <strong>Couchbase workloads</strong> and determine whether they should remain on Couchbase or migrate to <strong>DynamoDB, DocumentDB, or another database platform</strong> based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot <strong>Couchbase XDCR or comparable replication technologies</strong>, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex <strong>multi-tenant environments</strong> with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within <strong>AWS</strong>, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support <strong>ETL/ELT pipelines feeding Snowflake or similar modern data platforms</strong>, including data validation, backfills, recovery, and troubleshooting.</li><li>Use <strong>Python and SQL</strong> for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of <strong>production database incidents</strong>, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using <strong>Datadog, CloudWatch, Azure Monitor, or similar observability tools</strong>.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul><p><br></p>
  • 2026-10-05T00:00:00Z
Database Developer
  • Burbank, CA
  • onsite
  • Temporary / Contract
  • 47.5 - 55 USD / Hourly
  • <p>We are looking for a Database Developer for a Contract position. This position is remote. This role is ideal for someone who can step into an established ServiceTitan environment, quickly assess issues, and deliver practical solutions with minimal oversight. The successful candidate will combine database expertise, workflow support, and business-focused problem solving to improve system performance, reporting, and operational efficiency.</p><p><br></p><p>Responsibilities:</p><p>• Manage and support the day-to-day operation of the ServiceTitan platform, resolving workflow and system issues in an existing environment.</p><p>• Develop, maintain, and optimize database solutions using Microsoft SQL Server, T-SQL, stored procedures, and ETL processes.</p><p>• Create reporting tools, dashboards, and data views that help business teams track performance and make informed decisions.</p><p>• Build and maintain integrations and automation processes using Python, Zapier, and related APIs where needed.</p><p>• Investigate system errors, data inconsistencies, and process gaps, then implement effective fixes with limited direction.</p><p>• Partner with stakeholders across departments to understand operational needs and translate them into scalable technical solutions.</p><p>• Support database management activities including data organization, query performance improvement, and ongoing system reliability.</p><p>• Contribute to enhancements involving ServiceTitan configurations, cross-platform connectivity, and workflow improvements as business needs evolve.</p>
  • 2026-10-06T00:00:00Z
Database Developer
  • Ventura, CA
  • onsite
  • Temporary / Contract
  • 55.4135 - 64.163 USD / Hourly
  • We are looking for a Database Developer to join a team in Ventura, California on a Long-term Contract assignment. This role is ideal for someone with strong experience building and optimizing SQL Server database solutions, supporting data integration processes, and developing reliable backend functionality. The position focuses on creating efficient database objects, improving data flow across systems, and helping maintain accurate, high-performing data environments.<br><br>Responsibilities:<br>• Design, build, and maintain SQL Server database solutions that support business applications and reporting needs.<br>• Develop and enhance ETL workflows to move, transform, and validate data from multiple sources into target systems.<br>• Create, test, and optimize stored procedures, queries, and other T-SQL components for performance and reliability.<br>• Troubleshoot database issues, identify root causes, and implement fixes to improve data quality and system stability.<br>• Collaborate with technical and business teams to understand data requirements and translate them into scalable database designs.<br>• Monitor database performance and refine indexing, query logic, and execution efficiency to support ongoing operations.<br>• Document database structures, data movement processes, and development standards to support maintainability and knowledge sharing.
  • 2026-10-06T00:00:00Z
Database Developer
  • St. Cloud, MN
  • onsite
  • Temporary / Contract
  • 66.5 - 77 USD / Hourly
  • <p>We are looking for a Database Developer to support enterprise reporting and analytics initiatives. This role will focus on building and enhancing data warehouse solutions, improving database performance, and delivering reliable data pipelines that support business operations and decision-making. The ideal candidate brings strong experience across Microsoft SQL Server, Azure data services, ETL development, and business intelligence tools in a collaborative Agile environment.</p><p><br></p><p>Responsibilities:</p><p>• Create and maintain scalable data warehouse structures and database solutions using Microsoft SQL Server, Azure SQL Database, and Azure Data Factory.</p><p>• Develop robust ETL workflows that extract, transform, validate, and load data from multiple sources into reporting and analytics platforms.</p><p>• Partner with business users and technical teams to convert reporting and data needs into efficient database designs and usable insights.</p><p>• Establish automated processes for data validation, auditing, and quality control to preserve accuracy and consistency across datasets.</p><p>• Improve database reliability and speed through query tuning, indexing strategies, and execution plan analysis.</p><p>• Support production operations by managing scheduled jobs, troubleshooting failures, and assisting with backup, recovery, and deployment activities.</p><p>• Build ad hoc reports, dashboards, and visualizations using Power BI and related business intelligence tools.</p><p>• Develop and maintain integrations with external systems through APIs, web services, and other data connectivity methods.</p><p>• Participate in technical reviews, testing efforts, and release activities while promoting sound architecture, coding, and security practices.</p><p>• Provide guidance to less experienced developers and contribute to code quality through peer reviews and knowledge sharing.</p>
  • 2026-10-05T00:00:00Z
Lead Data Engineer
  • Atlanta, GA
  • onsite
  • Permanent / Full Time
  • 175000 - 185000 USD / Yearly
  • <p>Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.</p><ul><li>Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions</li><li>Drive the migration and modernization of legacy data environments to Snowflake</li><li>Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives</li><li>Design and maintain high-performance data models, data architectures, and data integration frameworks</li><li>Implement data quality, governance, monitoring, and performance optimization best practices</li><li>Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap</li><li>Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions</li><li>Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows</li><li>Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies</li><li>Mentor and guide other engineers while influencing technical direction and engineering standards</li><li>Evaluate and implement modern data engineering tools, frameworks, and best practices</li><li>Support the growth and scalability of the organization&#39;s data ecosystem while ensuring reliable, trusted, and accessible data</li></ul>
  • 2026-10-06T00:00:00Z
Senior Data Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 140000 - 160000 USD / Yearly
  • We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance.<br><br>Responsibilities:<br>• Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources.<br>• Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs.<br>• Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks.<br>• Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement.<br>• Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions.<br>• Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency.<br>• Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability.<br>• Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
  • 2026-10-01T00:00:00Z
Data Scientist II
  • San Ramon, CA
  • remote
  • Permanent / Full Time
  • 119000 - 180000 USD / Yearly
  • <p>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.</p><p><br></p><p>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.</p><p><br></p><p>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.</p>
  • 2026-09-28T00:00:00Z
Data Analyst I
  • Phoenix, AZ
  • onsite
  • Temporary / Contract
  • 20 - 24 USD / Hourly
  • <p><strong>Data Analyst I</strong></p><p><strong>Location: Hybrid, 4 days onsite / 1 day remote </strong></p><p><strong>Duration: Contract with potential for full-time conversion</strong></p><p><br></p><p>This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
  • 2026-10-06T00:00:00Z
Data Analyst I
  • Phoenix, AZ
  • onsite
  • Temporary / Contract
  • 35 - 42 USD / Hourly
  • <p><strong>Data Analyst I</strong></p><p><strong>4-month Contract with potential extensions/conversion</strong></p><p><strong>Hybrid, 4 days/week onsite in Phoenix, AZ; Shift 6:00am-2:30pm</strong></p><p><br></p><p>We are looking for a detail-oriented Data Analyst I to support operational improvement efforts in Phoenix, AZ. This is a contract position focused on examining workflow data, uncovering recurring issues, and helping the business operate more efficiently. The ideal candidate brings strong curiosity, sound judgment, and a proactive approach to solving problems while working closely with internal stakeholders. This role follows a hybrid schedule with in-office work Monday through Thursday and remote work on Friday.</p><p><br></p><p>Responsibilities:</p><p>• Review reporting and workflow activity to detect patterns, recurring issues, and opportunities to improve day-to-day operations.</p><p>• Conduct root cause analysis on service or process problems and recommend practical, lasting solutions.</p><p>• Investigate complex cases or unfamiliar requests, using research and data analysis to drive resolution.</p><p>• Create clear documentation for findings, process updates, recommendations, and operational changes.</p><p>• Partner with cross-functional teams to simplify procedures, reduce manual effort, and improve consistency.</p><p>• Use tools such as SQL, SharePoint workflows, and reporting platforms to analyze performance and support decision-making.</p><p>• Track closed-ticket activity and related metrics to identify inefficiencies and support continuous improvement initiatives.</p><p>• Contribute to process changes and workflow enhancements that strengthen service quality and operational effectiveness.</p>
  • 2026-09-03T00:00:00Z
Snowflake Data Engineer
  • Radnor, PA
  • onsite
  • Permanent / Full Time
  • 140000 - 160000 USD / Yearly
  • We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
  • 2026-09-23T00:00:00Z
Data Architect (GCP)
  • Appleton, WI
  • onsite
  • Permanent / Full Time
  • 140000 - 170000 USD / Yearly
  • <p>Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery.</p><p><br></p><p>The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment.</p><p><br></p><p>What You’ll Do</p><ul><li>Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.</li><li>Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.</li><li>Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.</li><li>Help accelerate the development and deployment of the organization’s GCP data platform.</li><li>Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.</li><li>Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.</li><li>Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.</li><li>Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.</li><li>Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.</li><li>Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.</li></ul><p><br></p>
  • 2026-10-01T00:00:00Z
Principal Data Engineer
  • Avon, MN
  • onsite
  • Permanent / Full Time
  • 130000 - 190000 USD / Yearly
  • <p>We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.</p><p>• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.</p><p>• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.</p><p>• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.</p><p>• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.</p><p>• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.</p><p>• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.</p><p>• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.</p><p>• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.</p>
  • 2026-09-10T00:00:00Z
Principal Data Engineer
  • Des Moines, IA
  • remote
  • Permanent / Full Time
  • 225000 - 300000 USD / Yearly
  • Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $225,000 - 300,000 base plus bonus potential<br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
  • 2026-09-23T00:00:00Z
Principal Data Engineer
  • Des Moines, IA
  • remote
  • Permanent / Full Time
  • 180000 - 225000 USD / Yearly
  • Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.<br><br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
  • 2026-09-23T00:00:00Z
Senior Data Engineer (Databricks)
  • Morristown, NJ
  • remote
  • Permanent / Full Time
  • 120000 - 145000 USD / Yearly
  • <p>A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting &amp; Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains.</p><p><br></p><p><strong>QUALIFIED CANDIDATES SHOULD HAVE EXPERIENCE WITH:</strong></p><ul><li>Serving as a Databricks SME</li><li>ERP integrations (strong plus)</li><li>Python / PySpark</li><li>Performance tuning and optimization</li><li>Databricks maintenance, including VACUUM</li><li>Data governance and best practices</li><li>Semantic modeling</li></ul><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li><strong>Architecture &amp; Strategy:</strong> Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards.</li><li><strong>Build &amp; Migration:</strong> Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader.</li><li><strong>Platform Operations:</strong> Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs.</li><li><strong>Governance &amp; AI:</strong> Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics.</li><li><strong>Partner &amp; Legacy Management:</strong> Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.</li></ul><p><br></p>
  • 2026-09-08T00:00:00Z
Data Center Engineer
  • Glendale, AZ
  • onsite
  • Temporary / Contract
  • 45 - 55 USD / Hourly
  • <p>Robert Half is seeking experienced Data Center Engineers to support clients with infrastructure operations, troubleshooting, deployments, and ongoing data center reliability.</p><p>Responsibilities</p><ul><li>Support servers, storage, networking, and data center infrastructure</li><li>Troubleshoot complex hardware and infrastructure issues</li><li>Coordinate server and network deployments</li><li>Support capacity planning, hardware refreshes, and infrastructure upgrades</li><li>Develop and maintain technical documentation</li><li>Participate in incident response and root-cause analysis</li><li>Coordinate with network, systems, cloud, security, and facilities teams</li><li>Support change management and production maintenance activities</li></ul><p><br></p>
  • 2026-10-01T00:00:00Z
2 4