Work options:
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.
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Build and maintain end-to-end data pipelines in Palantir Foundry
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Develop PySpark transformations focused on scalability, performance, and reliability
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Create and manage Ontology objects, links, and actions
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Work with analysts and operational users to support Workshop applications and tooling
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Investigate and resolve pipeline failures and contribute to on-call support rotations
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Participate in code reviews, engineering standards, and documentation
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Mentor and pair with junior engineers to support team capability uplift
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Palantir Foundry
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Code Repositories
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Pipeline Builder
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Ontology
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Workshop
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PySpark
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Foundry Jupyter Notebooks
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Git-based workflows / global branching
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Data quality monitoring and health checks
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Must have 3–5 years’ experience in Data Engineering or Analytics Engineering
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Must have Commercial experience building production pipelines in Palantir Foundry
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Strong PySpark skills including transformations, partitioning, shuffle/broadcast operations, and performance tuning
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Strong SQL skills across analytical workloads
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Understanding of dimensional modelling (Kimball or equivalent)
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Ability to independently own deliverables and work through ambiguity
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Experience designing Ontologies within Foundry
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Exposure to Workshop, Slate, or Quiver applications
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Streaming technologies experience including Kafka or Foundry Streaming
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Experience with testing and data quality frameworks such as dbt or Great Expectations
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Work on enterprise-scale data platforms and modern data engineering practices
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Join a collaborative, engineering-led environment with strong technical mentorship
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Opportunity to influence architecture, standards, and engineering patterns
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Exposure to cutting-edge Palantir Foundry implementations
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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.
