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Data Engineer, Palantir Foundry
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Based on Arizona data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$116,145 / year median in Arizona
+13% projected growth
Job Description
Data Engineer, Palantir Foundry at Objectways Data Engineer, Palantir Foundry at Objectways in Phoenix, Arizona Posted in about 18 hours ago.
Type:
full-time About the role 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:
U.S. Citizens or Lawful Permanent Residents (Green Card Holders) only due to client ITAR requirements Required qualifications: 5-6 years of professional data engineering experience. Hands-on production Palantir Foundry, including 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. 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.