Data Engineer
<p>Our client is seeking a skilled <strong>Data Engineer</strong> to support the design, development and optimization of data pipelines, data models and automation solutions. This role requires strong experience with <strong>SQL, Python and Snowflake</strong>, along with the ability to assist with <strong>Selenium web scripting</strong> for automation initiatives. The ideal candidate will have hands-on expertise in <strong>ETL processes</strong>, data integration and data modeling, and will be comfortable working in a fast-paced, collaborative environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build and maintain scalable <strong>ETL pipelines</strong> to support data integration and reporting needs</li><li>Develop and optimize complex queries using <strong>SQL</strong></li><li>Use <strong>Python</strong> to support data processing, transformation and automation tasks</li><li>Work within <strong>Snowflake</strong> to manage, transform and optimize cloud-based data solutions</li><li>Assist with <strong>automation efforts</strong>, including <strong>Selenium web scripting</strong> for web-based data extraction and process automation</li><li>Create and maintain logical and physical <strong>data models</strong></li><li>Ensure data quality, integrity and consistency across multiple data sources</li><li>Collaborate with business stakeholders, analysts and technical teams to gather requirements and deliver data solutions</li><li>Monitor and troubleshoot data workflows and automation scripts</li><li>Document processes, workflows and technical specifications</li></ul><p><br></p>
<ul><li>Bachelor’s degree in Computer Science, Information Systems, Engineering or related field</li><li>3+ years of experience in a <strong>Data Engineer</strong> or similar role</li><li>Strong hands-on experience with <strong>SQL, Python and Snowflake</strong></li><li>Experience developing and maintaining <strong>ETL</strong> workflows</li><li>Knowledge of <strong>data modeling</strong> concepts and best practices</li><li>Experience with <strong>Selenium</strong> for web automation or web scraping support</li><li>Strong analytical, problem-solving and troubleshooting skills</li><li>Ability to work independently and collaboratively in a team environment</li></ul><p><br></p>
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- Miami, FL
- onsite
- Temporary / Contract
-
50 - 60 USD / Hourly
- <p>Our client is seeking a skilled <strong>Data Engineer</strong> to support the design, development and optimization of data pipelines, data models and automation solutions. This role requires strong experience with <strong>SQL, Python and Snowflake</strong>, along with the ability to assist with <strong>Selenium web scripting</strong> for automation initiatives. The ideal candidate will have hands-on expertise in <strong>ETL processes</strong>, data integration and data modeling, and will be comfortable working in a fast-paced, collaborative environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build and maintain scalable <strong>ETL pipelines</strong> to support data integration and reporting needs</li><li>Develop and optimize complex queries using <strong>SQL</strong></li><li>Use <strong>Python</strong> to support data processing, transformation and automation tasks</li><li>Work within <strong>Snowflake</strong> to manage, transform and optimize cloud-based data solutions</li><li>Assist with <strong>automation efforts</strong>, including <strong>Selenium web scripting</strong> for web-based data extraction and process automation</li><li>Create and maintain logical and physical <strong>data models</strong></li><li>Ensure data quality, integrity and consistency across multiple data sources</li><li>Collaborate with business stakeholders, analysts and technical teams to gather requirements and deliver data solutions</li><li>Monitor and troubleshoot data workflows and automation scripts</li><li>Document processes, workflows and technical specifications</li></ul><p><br></p>
- 2026-05-24T00:00:00Z