Job Description

Must have a current NV2 Security Clearance

We’re looking for a talented Data Engineer with hands-on Palantir Foundry experience to join a growing data engineering team delivering scalable, production-grade data solutions.

This is an opportunity to work across the full data lifecycle — from ingestion and transformation through to ontology modelling and operational tooling — while collaborating closely with senior engineers, analysts, and business stakeholders.

You’ll take ownership of well-defined workstreams, contribute to engineering best practices, and help shape high-quality data products used across the business.

What You’ll Be Doing

• Build and maintain end-to-end data pipelines in Palantir Foundry
• Develop PySpark transformations focused on scalability, performance, and reliability
• Create and manage Ontology objects, links, and actions
• Work with analysts and operational users to support Workshop applications and tooling
• Investigate and resolve pipeline failures and contribute to on-call support rotations
• Participate in code reviews, engineering standards, and documentation
• Mentor and pair with junior engineers to support team capability uplift

Technology Stack

• Palantir Foundry
• Code Repositories
• Pipeline Builder
• Ontology
• Workshop
• PySpark
• Foundry Jupyter Notebooks
• Git-based workflows / global branching
• Data quality monitoring and health checks

What We’re Looking For

• Must have 3–5 years’ experience in Data Engineering or Analytics Engineering
• Must have Commercial experience building production pipelines in Palantir Foundry
• Strong PySpark skills including transformations, partitioning, shuffle/broadcast operations, and performance tuning
• Strong SQL skills across analytical workloads
• Understanding of dimensional modelling (Kimball or equivalent)
• Ability to independently own deliverables and work through ambiguity

Nice to Have

• Experience designing Ontologies within Foundry
• Exposure to Workshop, Slate, or Quiver applications
• Streaming technologies experience including Kafka or Foundry Streaming
• Experience with testing and data quality frameworks such as dbt or Great Expectations

Why Apply?

• Work on enterprise-scale data platforms and modern data engineering practices
• Join a collaborative, engineering-led environment with strong technical mentorship
• Opportunity to influence architecture, standards, and engineering patterns
• Exposure to cutting-edge Palantir Foundry implementations
• High-impact role with real ownership and autonomy

If you’re passionate about building reliable data products and want to deepen your expertise in Palantir Foundry, we’d love to hear from you.