Staff Data Engineer

About the Role

Reporting to the Director of Data Engineering, the Staff Data Engineer serves as a senior technical leader responsible for shaping, scaling, and governing our modern data ecosystem. This role blends architecture, hands-on engineering, platform leadership, and cross functional partnerships to deliver high quality data products that power clinical, operational, financial, and analytical outcomes.

Tech Stack

Databricks, Delta Lake, Unity Catalog, Microsoft Fabric (OneLake, Lakehouse, Data Factory), Azure, dbt, Python, PySpark, Spark SQL.

Architecture & Strategy

• Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks, Microsoft Fabric (OneLake, Lakehouse, Data Factory), and dbt.
• Define modeling patterns, governance frameworks, and engineering best practices across the data lifecycle.
• Lead design reviews and guide teams in adopting scalable architectural patterns.
• Drive long-term platform strategy and evaluate emerging technologies.

Hands-on Engineering

• Design and implement batch and streaming data pipelines for healthcare data sources (EHR, claims, HL7/FHIR, APIs, flat files, databases).
• Develop modular ingestion, quality, lineage, metadata, and observability frameworks that scale across domains.
• Produce clean, analytics-ready datasets and data models for BI, analytics, and machine learning workloads.
• Implement HIPAA-aligned access patterns and secure handling of PHI.