Data Engineer
<p>We are seeking a skilled <strong>Data Engineer</strong> with strong experience in <strong>ETL development, Snowflake, and Python</strong> to join our team. This role will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions that support analytics, reporting, and business decision-making.</p><p>The ideal candidate has hands-on expertise in modern data engineering practices, strong problem-solving abilities, and experience working with structured and unstructured data in fast-paced environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain robust <strong>ETL/ELT pipelines</strong> for ingesting, transforming, and loading data from multiple sources</li><li>Build and optimize data solutions within <strong>Snowflake</strong></li><li>Develop reusable scripts and workflows using <strong>Python</strong></li><li>Integrate data from APIs, databases, flat files, and third-party platforms</li><li>Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability</li><li>Collaborate with analytics, engineering, and business teams to understand data requirements</li><li>Ensure data quality, integrity, governance, and security across platforms</li><li>Support data modeling, warehouse design, and performance tuning</li><li>Document technical designs, workflows, and operational processes</li><li>Participate in code reviews, testing, and deployment activities</li></ul><p><br></p>
<ul><li>Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience</li><li>3+ years of experience in <strong>data engineering</strong> or <strong>ETL development</strong></li><li>Strong hands-on experience with <strong>Snowflake</strong></li><li>Proficiency in <strong>Python</strong> for data processing and automation</li><li>Experience developing and supporting <strong>ETL/ELT workflows</strong></li><li>Strong SQL skills and experience with relational databases</li><li>Familiarity with cloud data platforms and modern data warehouse architecture</li><li>Experience with data integration, transformation, and orchestration tools</li><li>Strong analytical, troubleshooting, and communication skills</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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- Fort Lauderdale, FL
- onsite
- Temporary / Contract
-
0 - 0 USD / Yearly
- <p>We are seeking a skilled <strong>Data Engineer</strong> with strong experience in <strong>ETL development, Snowflake, and Python</strong> to join our team. This role will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions that support analytics, reporting, and business decision-making.</p><p>The ideal candidate has hands-on expertise in modern data engineering practices, strong problem-solving abilities, and experience working with structured and unstructured data in fast-paced environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain robust <strong>ETL/ELT pipelines</strong> for ingesting, transforming, and loading data from multiple sources</li><li>Build and optimize data solutions within <strong>Snowflake</strong></li><li>Develop reusable scripts and workflows using <strong>Python</strong></li><li>Integrate data from APIs, databases, flat files, and third-party platforms</li><li>Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability</li><li>Collaborate with analytics, engineering, and business teams to understand data requirements</li><li>Ensure data quality, integrity, governance, and security across platforms</li><li>Support data modeling, warehouse design, and performance tuning</li><li>Document technical designs, workflows, and operational processes</li><li>Participate in code reviews, testing, and deployment activities</li></ul><p><br></p>
- 2026-06-08T00:00:00Z