Palantir Foundry Data Engineer (Contract)

Location: Nashville, TN

Duration: 6-month contract

Experience: 5+ years

Work Authorization: Only U.S. Citizens and Green Card holders will be considered. Candidates must be able to work on our W2.

Hiring Timeline: Please note our end-to-end hiring cycle typically takes 60–70 days due to the client's MSP onboarding and background check (BGC) process. This role is not a fit for candidates seeking an immediate start or an immediate jump - please apply only if you are comfortable with this timeline.

Position Summary

We are seeking a Palantir Foundry Data Engineer to build and operate data integration pipelines, Ontology-driven data models, and operational applications on the Palantir Foundry platform. The role involves connecting enterprise source systems into Foundry, designing clean and governed datasets, building Workshop applications for business users, and collaborating with stakeholders to turn data into decision-ready workflows.

Technical Stack

Platform: Palantir Foundry (Pipeline Builder, Code Repositories, Ontology, Workshop, Contour, Quiver)

AI Layer: Palantir AIP (agents, AIP Logic, LLM-backed workflows)

Languages: Python, PySpark, SQL, TypeScript (Functions)

Data Integration: Data Connection (JDBC, REST APIs, file-based syncs), incremental pipelines, CDC patterns

Data Modeling: Ontology object types, links, actions; dimensional and object-oriented modeling

Quality & Governance: Data expectations/health checks, lineage, granular permissions, Projects & Markings

DevOps: Git-based Code Repositories, branching, CI checks, release management

Responsibilities

Build and maintain data integration pipelines from enterprise source systems into Foundry using Pipeline Builder and Code Repositories (PySpark/SQL)

Design and evolve the Foundry Ontology - object types, properties, links, and actions - to model core business entities and workflows

Develop Workshop applications and operational dashboards that put governed data in the hands of business users

Implement data quality expectations, health checks, and monitoring to keep datasets reliable and trustworthy

Leverage AIP to build AI-assisted workflows and automation where appropriate

Partner with business stakeholders, analysts, and platform administrators on requirements, permissions, and release management

Required Experience

5+ years of data engineering experience, including 1+ years of hands-on Palantir Foundry delivery in production

Strong PySpark/Python and SQL skills with experience building incremental, production-grade pipelines

Experience designing Foundry Ontology models and building Workshop applications used by real business users

Solid understanding of data governance: permissions, lineage, data quality frameworks, and release practices

Nice to have: Palantir certifications (Foundry Data Engineer / AIP), TypeScript Functions, and experience in healthcare, supply chain, or financial services domains