Senior Data Engineer
Core
Design and scale the backbone of the data platform to ensure data is trustworthy, accessible, and ready to power operations and AI applications.
Role type
Senior hands-on data engineer (infrastructure & architecture)
Builds
Data pipelines, data models, data access layers, and cloud data ecosystems
Domain
Healthcare services / Data engineering
Deliverable
infrastructure
Required skills
Python, PySpark, data modeling, data warehouse/lakehouse design, cloud platforms (AWS/GCP/Azure), data governance, system optimization
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 data pipeline lifecycle; ensure data quality and governance; monitor and optimize data infrastructure; review code and set engineering best practices; design infrastructure for future AI and analytics needs; collaborate with cross-functional teams to translate business needs into data solutions
Seniority
Senior, hands-on IC with technical leadership
