Data Engineer

Data Pipeline Development:

• Design and maintain robust data pipelines that ingest raw healthcare data from various sources.
• Ensure pipelines are scalable, reliable, and optimized for batch processing.
• Coordinate with external vendors to resolve file delivery issues.

Data Modeling and Transformation:

• Develop dbt models following staging/intermediate/marts patterns.
• Write complex SQL transformations to support clinical, financial, and operational reporting.
• Ensure models are well-documented and version-controlled.

Data Quality and Operations:

• Implement automated data validation tests and monitor pipeline health.
• Investigate and resolve data anomalies to maintain reporting accuracy.
• Own production pipeline operations, including job monitoring and triage.