Sr Data Engineer
<p>We are seeking a <strong>Senior Data Engineer</strong> with strong Azure expertise to design, build, and maintain data pipelines and scalable cloud solutions. In this role, you’ll collaborate with cross-functional teams to support data integration, analytics, and business intelligence initiatives that drive impactful decision-making.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and optimize robust data pipelines and ETL processes within the Azure ecosystem.</li><li>Implement scalable data solutions using Azure Data Factory, Azure Synapse, Databricks, and related services.</li><li>Manage and maintain data lake and data warehouse environments.</li><li>Ensure data quality, governance, and security best practices are followed across all solutions.</li><li>Collaborate with data analysts, BI developers, and business stakeholders to deliver accurate and accessible data.</li><li>Monitor and optimize data infrastructure performance, scalability, and cost efficiency.</li><li>Troubleshoot and resolve data pipeline or integration issues in a timely manner.</li><li>Mentor junior engineers and contribute to best practices and standards for data engineering.</li></ul><p><br></p>
<p><strong>Qualifications</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).</li><li>5+ years of professional experience in data engineering, with at least 3 years focused on Azure.</li><li>Strong hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and Data Lake Storage.</li><li>Proficiency in SQL, Python, and data modeling.</li><li>Experience with modern data architecture patterns (ELT/ETL, Data Lakes, Data Warehouses).</li><li>Familiarity with DevOps practices, CI/CD pipelines, and version control (Git).</li><li>Strong problem-solving skills and the ability to communicate technical concepts clearly to non-technical stakeholders.</li></ul><p><br></p><p><strong>Preferred Skills</strong></p><ul><li>Experience with Power BI or other BI visualization tools.</li><li>Knowledge of data governance frameworks and security compliance standards.</li><li>Familiarity with Spark or big data frameworks.</li></ul><p><br></p><p><strong>Why Join Us?</strong></p><ul><li>Opportunity to lead high-impact projects in a cloud-first environment.</li><li>Collaborative culture with opportunities for growth and learning.</li><li>Competitive salary, benefits, and flexible work arrangements.</li></ul><p><br></p>
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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>
<p>© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to <a href="https://www.roberthalf.com/us/en/terms">Robert Half’s Terms of Use</a>.</p>
- Jacksonville, FL
- onsite
- Temporary
-
- USD / Hourly
- <p>We are seeking a <strong>Senior Data Engineer</strong> with strong Azure expertise to design, build, and maintain data pipelines and scalable cloud solutions. In this role, you’ll collaborate with cross-functional teams to support data integration, analytics, and business intelligence initiatives that drive impactful decision-making.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and optimize robust data pipelines and ETL processes within the Azure ecosystem.</li><li>Implement scalable data solutions using Azure Data Factory, Azure Synapse, Databricks, and related services.</li><li>Manage and maintain data lake and data warehouse environments.</li><li>Ensure data quality, governance, and security best practices are followed across all solutions.</li><li>Collaborate with data analysts, BI developers, and business stakeholders to deliver accurate and accessible data.</li><li>Monitor and optimize data infrastructure performance, scalability, and cost efficiency.</li><li>Troubleshoot and resolve data pipeline or integration issues in a timely manner.</li><li>Mentor junior engineers and contribute to best practices and standards for data engineering.</li></ul><p><br></p>
- 2025-09-17T11:24:35Z