Data Engineer
<p>We’re looking for a <strong>Data Engineer</strong> to design, build, and maintain scalable data pipelines and platforms that support analytics, reporting, and data-driven decision-making. This role is ideal for someone who enjoys working with large datasets, modern cloud data stacks, and collaborating closely with analytics, BI, and application teams.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Design, build, and maintain <strong>ETL/ELT pipelines</strong> for structured and semi-structured data</li><li>Develop and optimize <strong>data models</strong> for analytics and reporting use cases</li><li>Ingest data from multiple sources including APIs, databases, and third-party platforms</li><li>Ensure data quality, reliability, and performance across pipelines</li><li>Work with stakeholders to understand data requirements and translate them into scalable solutions</li><li>Monitor and troubleshoot pipeline failures and data inconsistencies</li><li>Implement data governance, security, and best practices</li><li>Document data flows, schemas, and operational processes</li></ul><p><br></p>
<p><strong>Required Qualifications</strong></p><ul><li>3+ years of experience in <strong>data engineering</strong> or related roles</li><li>Strong experience with <strong>SQL</strong> and relational databases</li><li>Hands-on experience with <strong>ETL/ELT tools</strong> or custom data pipelines</li><li>Proficiency in at least one programming language (Python preferred)</li><li>Experience working with <strong>cloud data platforms</strong> (AWS, Azure, or GCP)</li><li>Solid understanding of data modeling concepts (star/snowflake schemas)</li></ul><p><br></p><p><strong>Preferred Qualifications</strong></p><ul><li>Experience with tools such as <strong>Airflow, dbt, Spark, or Kafka</strong></li><li>Familiarity with <strong>data warehouses</strong> (Snowflake, Redshift, BigQuery, Azure Synapse)</li><li>Experience with <strong>API-based data ingestion</strong></li><li>Knowledge of data governance, security, and compliance best practices</li><li>Experience supporting BI tools such as <strong>Power BI, Tableau, or Looker</strong></li></ul><p><br></p><p><strong>Why Join Us</strong></p><ul><li>Work on impactful, data-driven initiatives</li><li>Modern cloud and analytics technology stack</li><li>Collaborative, growth-oriented engineering culture</li><li>Competitive compensation and benefits</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>
<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’re looking for a <strong>Data Engineer</strong> to design, build, and maintain scalable data pipelines and platforms that support analytics, reporting, and data-driven decision-making. This role is ideal for someone who enjoys working with large datasets, modern cloud data stacks, and collaborating closely with analytics, BI, and application teams.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Design, build, and maintain <strong>ETL/ELT pipelines</strong> for structured and semi-structured data</li><li>Develop and optimize <strong>data models</strong> for analytics and reporting use cases</li><li>Ingest data from multiple sources including APIs, databases, and third-party platforms</li><li>Ensure data quality, reliability, and performance across pipelines</li><li>Work with stakeholders to understand data requirements and translate them into scalable solutions</li><li>Monitor and troubleshoot pipeline failures and data inconsistencies</li><li>Implement data governance, security, and best practices</li><li>Document data flows, schemas, and operational processes</li></ul><p><br></p>
- 2025-12-16T13:43:35Z