Own Airflow codebase (MWAA) and ~100 DAGs; templates and tests
Be the go-to for pipeline architecture and troubleshooting
Own data onboarding for new sources: connection setup, schema discovery, pipeline design
Operate Spark pipelines on AWS Glue; multi TB joins; migrate to Databricks
Improve pharma data models: structure, lineage, and data flow
Contribute to and maintain internal Python package used by the data team

🎯 Requirements

5+ years building data models and pipelines
2+ years production Airflow
2+ years Spark at scale (multi-TB); AWS Glue exp preferred
Strong Python and SQL
AWS: S3, ECS/Fargate, Glue, IAM, Secrets Manager
Clear communicator; onboarding analytics team to codebase and Airflow

🎁 Benefits

Medical, dental, vision, and basic life insurance
Flexible PTO and company paid holidays
Retirement programs
1% charitable giving program

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