Data Engineer (IE / Ops Research)
Core
Engineering data pipelines, applications, and workflows within the Palantir platform to support depot maintenance, supply chain, and production environments for government clients.
Role type
Senior Data Engineer (Industrial Engineering & Operations Research)
Builds
Data pipelines, governance applications, and simulation models for depot modernization and strategic planning.
Domain
Defense/Industrial Engineering + Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Palantir Foundry (Code Repositories, Pipeline Builder, Workshop, Slate), PySpark, data pipeline development, data governance, industrial engineering methods, capacity analysis, scenario modeling
Preferred skills
Relational database concepts, platform observability, predictive modeling, digital twins
Technologies
Palantir Foundry, PySpark, ERP/MRO systems
Responsibilities
Build and configure data pipelines and applications using Palantir tools; develop governance applications for platform performance monitoring; apply industrial engineering methods to improve depot processes; conduct capacity and bottleneck analyses; integrate data into simulation models for forecasting; collaborate with stakeholders on strategic planning scenarios; deliver decision-support briefings to senior leaders.
Seniority
Senior, hands-on IC