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Data Engineer
<p>We are currently seeking a Data Engineer for a contract opportunity supporting a growing data and analytics organization. This role is focused on building and maintaining modern cloud-based data infrastructure, including scalable ELT pipelines, Snowflake data solutions, and automated data workflows.</p><p>This is a hands-on engineering role where you will design, develop, and support end-to-end data systems that enable reliable reporting, analytics, and business decision-making.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable ELT/ETL data pipelines and workflows</li><li>Develop and optimize Snowflake-based data warehouse solutions</li><li>Build and maintain data models and transformation logic to support analytics and reporting</li><li>Write efficient and high-quality Python and SQL code to support data engineering processes</li><li>Develop reusable data engineering frameworks and backend data services</li><li>Implement and maintain CI/CD pipelines using GitHub and related tooling</li><li>Build automated testing frameworks to ensure data quality and reliability</li><li>Create reporting and visualization solutions using tools such as Power BI</li><li>Monitor production data systems and resolve performance or reliability issues</li><li>Support continuous improvement of data architecture, processes, and standards</li></ul>
<p><strong>Required Experience:</strong></p><ul><li>Strong experience as a Data Engineer, Analytics Engineer, or ETL Developer</li><li>Hands-on experience with Snowflake in production environments</li><li>Advanced proficiency in Python and SQL</li><li>Experience building ETL/ELT pipelines and data workflows</li><li>Exposure to cloud platforms such as AWS, Azure, or GCP</li><li>Experience with CI/CD pipelines using GitHub or similar tools</li><li>Understanding of data modeling and data warehouse design principles</li><li>Experience supporting production data systems and troubleshooting data issues</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with dbt, Airflow, Dagster, or Prefect</li><li>Experience with automated testing or data quality frameworks</li><li>Exposure to Power BI or other BI/reporting tools</li><li>Experience building APIs or backend data services</li><li>Strong understanding of cloud-native data architecture</li></ul>
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  • Charlotte, NC
  • onsite
  • Temporary
  • 55 - 65 USD / Hourly
  • <p>We are currently seeking a Data Engineer for a contract opportunity supporting a growing data and analytics organization. This role is focused on building and maintaining modern cloud-based data infrastructure, including scalable ELT pipelines, Snowflake data solutions, and automated data workflows.</p><p>This is a hands-on engineering role where you will design, develop, and support end-to-end data systems that enable reliable reporting, analytics, and business decision-making.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable ELT/ETL data pipelines and workflows</li><li>Develop and optimize Snowflake-based data warehouse solutions</li><li>Build and maintain data models and transformation logic to support analytics and reporting</li><li>Write efficient and high-quality Python and SQL code to support data engineering processes</li><li>Develop reusable data engineering frameworks and backend data services</li><li>Implement and maintain CI/CD pipelines using GitHub and related tooling</li><li>Build automated testing frameworks to ensure data quality and reliability</li><li>Create reporting and visualization solutions using tools such as Power BI</li><li>Monitor production data systems and resolve performance or reliability issues</li><li>Support continuous improvement of data architecture, processes, and standards</li></ul>
  • 2026-04-14T00:00:00Z

Data Engineer Job in Charlotte, NC | Robert Half