Senior Data Engineer - Palantir Foundry

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. 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. #J-18808-Ljbffr Objectways