ETL Engineer

• Develop, enhance, and support ETL processes for large and evolving datasets.
• Replace or improve legacy stored-procedure-based ingestion and transformation workflows.
• Build repeatable, well-documented data transformation processes.
• Support the delivery of curated datasets to downstream teams, platforms, and tools.
• Perform data profiling, validation, reconciliation, and regression testing.
• Identify data-quality issues and contribute to automated quality-control processes.
• Collaborate with Data Engineers, Data Architects, DBAs, and researchers to clarify data requirements.
• Ensure transformations preserve the intended business and research meaning of source data.

• 5 years of experience designing and supporting ETL or ELT workflows.
• Strong SQL and relational database experience.
• Experience with data transformation, validation, and reconciliation processes.
• Experience working with large, complex, or frequently changing datasets.
• Strong problem-solving skills and attention to data accuracy.
• Healthcare data, research data, or regulated-data experience.

Preferred Qualifications

• Experience with Python and automated data-processing workflows.
• Familiarity with Git, source control, and CI/CD practices.
• Experience with unit testing and regression testing for data pipelines.
• Familiarity with data quality automation or continuous data-QC approaches.