Senior Data Engineer

Marlabs is supporting a forward-thinking public-sector organization seeking a Senior Data Engineer with strong experience in Astronomer/Astro and Python. This role will lead the implementation of Astronomer and dbt, establishing best practices for a modernized data engineering environment.

Responsibilities:

• Implement Astronomer/Astro and dbt using Cosmos for orchestration and transformation
• Design and build scalable, maintainable, and cost-effective data workflows
• Develop Python-based automation and pipelines
• Ensure data quality, reliability, and performance
• Provide knowledge transfer, mentorship, and guidance to an experienced and collaborative data team
• Work closely with the Data Architect and Data Engineers on modernization efforts

Requirements:

• 3+ years of hands-on data engineering with Astronomer/Airflow and Python
• Experience designing dynamic, production-grade Airflow DAGs (task dependencies, XCom, best practices)
• Experience implementing Astronomer or working in a mature Astro environment
• 5+ total years in IT preferred
• Familiarity with SQL Server, Oracle, Excel, and API integrations (ESRI is a bonus)
• Experience with dbt (Data Build Tool)
• Understanding of data modeling, incremental loads, and data quality practices
• Familiarity with CI/CD pipelines (Azure DevOps, Git)