Senior Data Engineer
Core
Design and scale the backbone of a healthcare data platform to ensure trustworthy, accessible data for operations and AI applications.
Role type
Senior hands-on data engineer (technical lead)
Builds
Data pipelines, data models, and data access layers for care delivery and analytics
Domain
Healthcare / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, PySpark, data pipeline architecture, data modeling, warehouse/lakehouse design, cloud ecosystems (AWS/GCP/Azure), data governance
Preferred skills
Palantir Foundry, DBT, Databricks, Snowflake, healthcare domain experience
Technologies
Python, PySpark, Palantir Foundry, DBT, Databricks, Snowflake, AWS, GCP, Azure
Responsibilities
Architect and maintain data models, pipelines, and access layers; own end-to-end pipeline lifecycle; ensure data quality and governance; monitor and optimize infrastructure; review code and set engineering best practices; design infrastructure for future AI/analytics needs; collaborate with cross-functional teams to translate business needs into data solutions
Seniority
Senior, hands-on IC with technical leadership
