Data Engineer
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Data Engineer (contract).</strong> In this role, you will support the continued growth of our technology and analytics capabilities. This role will focus on building, enhancing, and maintaining reliable data pipelines and infrastructure, ensuring high-quality data flows across the organization. This person will work closely with multiple teams to support data accessibility, performance, and scalability. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain robust data pipeline architectures.</li><li>Administer and configure enterprise pipeline orchestration tools (e.g., AWS Glue, Airflow, Fivetran).</li><li>Build and manage large, complex datasets to meet both technical and business requirements.</li><li>Identify opportunities to streamline internal processes, automate repetitive tasks, enhance data delivery, and scale data infrastructure.</li><li>Create systems and frameworks for efficient extraction, transformation, and loading of data from diverse sources using appropriate technologies.</li><li>Collaborate with stakeholders to troubleshoot data issues and support ongoing infrastructure needs.</li><li>Ensure data is protected and properly governed within the environment.</li><li>Partner with analytics teams to increase the usability and performance of data systems.</li><li>Develop and maintain processes for data transformation, metadata management, data dependencies, and workload optimization.</li><li>Maintain and evolve the organization’s data model.</li><li>Perform other related duties as assigned.</li></ul>
<p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in a relevant technical field.</li><li>5 + years of experience in data engineering.</li><li>Extensive expertise in SQL and hands-on experience with relational database systems.</li><li>Experience working with SQL Server.</li><li>A minimum of 3 years of experience using Python.</li><li>Proven ability to design and optimize data pipelines, architectures, and data sets.</li><li>Experience performing root cause analysis on complex data and process issues to support business insights and identify improvements.</li><li>Demonstrated experience collaborating with cross-functional teams in a fast-paced environment.</li><li>Familiarity with Salesforce data structures is beneficial.</li><li>Experience working with Azure-based environments is preferred.</li></ul><p><strong>Contract Benefit Offerings:</strong></p><ul><li>Healthcare (medical, dental, and vision plans)</li><li>401(k) and retirement plans</li><li>Commuter benefits</li><li>Employee and vendor discounts</li><li>Employee Assistance Program (EAP)</li><li>And many more!</li></ul>
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<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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- Austin, TX
- onsite
- Temporary
-
46.00 - 54.00 USD / Hourly
- <p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Data Engineer (contract).</strong> In this role, you will support the continued growth of our technology and analytics capabilities. This role will focus on building, enhancing, and maintaining reliable data pipelines and infrastructure, ensuring high-quality data flows across the organization. This person will work closely with multiple teams to support data accessibility, performance, and scalability. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain robust data pipeline architectures.</li><li>Administer and configure enterprise pipeline orchestration tools (e.g., AWS Glue, Airflow, Fivetran).</li><li>Build and manage large, complex datasets to meet both technical and business requirements.</li><li>Identify opportunities to streamline internal processes, automate repetitive tasks, enhance data delivery, and scale data infrastructure.</li><li>Create systems and frameworks for efficient extraction, transformation, and loading of data from diverse sources using appropriate technologies.</li><li>Collaborate with stakeholders to troubleshoot data issues and support ongoing infrastructure needs.</li><li>Ensure data is protected and properly governed within the environment.</li><li>Partner with analytics teams to increase the usability and performance of data systems.</li><li>Develop and maintain processes for data transformation, metadata management, data dependencies, and workload optimization.</li><li>Maintain and evolve the organization’s data model.</li><li>Perform other related duties as assigned.</li></ul>
- 2026-01-23T20:39:22Z