Data Engineer
<p>Since it’s 2026, the Data Engineering landscape in DC has shifted heavily toward <strong>Cloud-Native architectures</strong> and <strong>GenAI-ready pipelines</strong>. Robert Half typically recruits for both their internal corporate teams and their high-end consulting arm (Protiviti).</p><p>Here is a tailored job description based on current 2026 market standards and Robert Half’s specific hiring trends in the District.</p><p><br></p><p>Job Title: Data Engineer</p><p><strong>Location:</strong> Washington, DC (Hybrid – Downtown DC Office)</p><p><strong>Company:</strong> Robert Half </p><p><strong>Employment Type: </strong>Contract-to-Hire</p><p>Role Overview</p><p>As a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren't just "moving data"; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.</p><p><br></p><p><br></p>
<p>Key Responsibilities</p><ul><li><strong>Pipeline Architecture:</strong> Design, build, and optimize scalable ETL/ELT pipelines using <strong>Python</strong> and <strong>SQL</strong> to move data from various internal and external sources into our central <strong>Snowflake</strong> warehouse.</li><li><strong>Modern Orchestration:</strong> Manage and schedule complex workflows using tools like <strong>Apache Airflow</strong> or <strong>Dagster</strong> to ensure 99.9% data availability for our analysts.</li><li><strong>GenAI Integration:</strong> Help build "GenAI Ops" frameworks, ensuring that the data feeding our internal Large Language Models (LLMs) is clean, tokenized, and ethically sourced.</li><li><strong>Data Modeling:</strong> Develop robust dimensional models (Star/Snowflake schemas) that simplify complex recruitment and financial datasets for executive dashboards.</li><li><strong>Performance Tuning:</strong> Monitor and optimize query performance and storage costs within <strong>AWS</strong> or <strong>Azure</strong> environments.</li></ul><p><br></p>
<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.<sup>®</sup></h3>
<p>Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.</p>
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<p>All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information.</p>
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- Washington, DC
- remote
- Temporary
-
60.00 - 75.00 USD / Hourly
- <p>Since it’s 2026, the Data Engineering landscape in DC has shifted heavily toward <strong>Cloud-Native architectures</strong> and <strong>GenAI-ready pipelines</strong>. Robert Half typically recruits for both their internal corporate teams and their high-end consulting arm (Protiviti).</p><p>Here is a tailored job description based on current 2026 market standards and Robert Half’s specific hiring trends in the District.</p><p><br></p><p>Job Title: Data Engineer</p><p><strong>Location:</strong> Washington, DC (Hybrid – Downtown DC Office)</p><p><strong>Company:</strong> Robert Half </p><p><strong>Employment Type: </strong>Contract-to-Hire</p><p>Role Overview</p><p>As a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren't just "moving data"; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.</p><p><br></p><p><br></p>
- 2026-02-16T15:58:41Z