Senior Data Engineer – Palantir Foundry

About the role 

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. 

Key Responsibilities

• 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

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. 

Preferred Qualifications:

• Experience building scalable data products and ontology-driven data models in enterprise environments
• Exposure to streaming or near-real-time data processing frameworks (e.g., Kafka, Spark Streaming)