Summary from listing
The Senior Data Engineer will own end-to-end data systems and build reliable, scalable SQL and Python data pipelines, ETL/ELT workflows, and integrations with APIs and external data sources. The role focuses on SQL and data warehouse optimization, orchestration with tools such as Airflow, Prefect, Dagster, or dbt, CI/CD, testing, monitoring, and production support. It is a remote position with United States work hours and requires extensive experience with data pipelines, SQL, Python, orchestration, and data environment automation; financial, insurance, or regulatory data experience is preferred.
