Senior Data Engineer - Palantir Foundry
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AI Summary
Design, build, and operate production data pipelines and ontologies within the Palantir Foundry ecosystem. Collaborate with cross-functional teams to deliver governed data products and develop operational applications for end users.
Senior Data Engineer with hands-on Palantir Foundry experience to design, build, and operate production pipelines and ontologies. You'll own pipelines end-to-end — from raw ingestion to curated ontology objects — and partner with analysts, data scientists, and business owners to deliver governed data products.
Work Authorization:
This position is open to US Citizens or Green Card holders.
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.
What you'll do:
- Build scalable Foundry pipelines using PySpark, Python, and SQL transforms.
- Model and maintain Ontology objects, links, and actions for core business entities.
- Develop operational apps with Workshop, Quiver, and Contour for end users.
- Integrate Foundry with upstream sources (DBs, APIs, cloud storage) and downstream consumers.
- Implement data quality checks, health monitors, and incremental builds.
- Apply Foundry's security model — markings, projects, RBAC — for governance and compliance.
- Mentor engineers on Foundry best practices and pipeline design patterns.
This is a remote position.
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