Centurion is currently seeking a Data Engineer to independently design, build, and maintain data pipelines within Palantir Foundry in support of Client manpower and force-structure modernization efforts. This role transforms raw, disparate Client data sources into clean, well-structured, analysis-ready datasets that power downstream regression modeling, automation tooling (e.g., FutureCast), and executive-level reporting. The ideal candidate has a high degree of intellectual curiosity and grit, can flex between low-code (Pipeline Builder) and code-first (Code Repositories) approaches depending on the complexity of the transform, and understands how to design pipelines that are auditable, defensible, and reusable across a multi-month federal engagement.

1+ years of hands-on experience building data pipelines in Palantir Foundry, including direct experience with both Pipeline Builder and Code Repositories Strong proficiency in PySpark and Python for transform development.
Experience with Ontology design/configuration (objects, properties, link types)
Solid understanding of data modeling, schema design, and ETL/ELT best practices
Experience with git-based version control workflows within Foundry Code Repositories
Strong SQL skills

Expected Deliverables: Expand automated manpower planning application on Palantir

Required:
Education: Bachelors Degree
Clearance: Active Secret Clearance