Senior Data Engineer - Palantir Foundry
RemoteUnited States
United StatesRemoteFull TimeSenior LevelMedium
Full TimeSenior LevelMedium
Job Summary
Build scalable Foundry pipelines using PySpark, Python, and SQL transforms, modeling Ontology objects and integrating upstream sources with downstream consumers. Develop operational apps via Workshop, Quiver, and Contour while implementing data quality checks, health monitors, and incremental builds. Apply Foundry's security model for governance and compliance, then mentor engineers on best practices and design patterns. Partner with analysts, data scientists, and business owners to deliver governed data products. This remote role requires 5–6 years of experience, strong Python/PySpark/SQL skills, and US citizenship or Green Card status.
Required Qualifications
- 5–6 years of professional data engineering experience
- Hands-on production Palantir Foundry — Code Repos, Pipeline Builder, Ontology Manager, Workshop
- Strong Python, PySpark, and SQL with proven Spark performance tuning
- Solid grasp of dimensional modeling, incremental processing, and data quality frameworks
- Experience with AWS, Azure, or GCP and modern formats (Parquet, Delta, Iceberg)
- Comfortable with Git-based workflows and CI/CD
- Must be a US citizen or Green Card holder. Not eligible for visa sponsorship or transfer
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