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.
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