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Palantir Foundry Engineer

Ampcus

 

Scottsdale, AZ, USA

Posted On: 2 days ago
Experience: 7+ years
Availability: Remote
Openings: 1
Category: Senior Palantir Foundry Data Engineer
Tenure: No Preference/Any
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Description

Must Have Skills

  • Palantir Foundry
  • Ontology
  • Data Engineering
  • Python
  • SQL
  • Java
  • PySpark
  • TypeScript
  • AIP
  • RAG
  • OSDK
  • Model Studio
  • Data Governance

Key Responsibilities

  • Design, build, and deploy end-to-end Palantir Foundry pipelines, transforms, connectors, Ontology models, applications, actions, and writeback workflows.
  • Develop Python, SQL, Java, PySpark, TypeScript, OSDK, Workshop applications, custom widgets, and function-backed business logic.
  • Lead data governance, permissions, restricted views, markings, property security groups, and role-based access controls.
  • Own deployment roadmaps from scoping and architecture through testing, operationalization, adoption, and production support.
  • Lead and mentor Forward Deployed Engineers through code reviews, architecture guidance, engineering standards, and knowledge-sharing sessions.
  • Explore platform innovation across Pipeline Builder, Code Workspaces, Model Studio, OSDK, Cipher, streaming capabilities, AIP Agents, and RAG workflows.

Required Qualifications

  • 7-10 years of relevant professional experience with proven Palantir Foundry implementation expertise.
  • Strong experience with data integration, ontology design, distributed transformations, and production platform deployments.
  • Hands-on programming experience in Python, SQL, Java, PySpark, TypeScript, and related data engineering tools.
  • Ability to lead technical teams, establish engineering best practices, and guide complex enterprise deployments.
  • Strong customer engagement skills with experience working across executives, analysts, engineers, and end users.

Preferred Qualifications

  • Experience with CI/CD, branching strategies, incremental pipeline design, testing, and documentation in Foundry environments.
  • Experience building ML models using Model Studio or pro-code repositories for classification, regression, forecasting, or custom prediction.
  • Healthcare operations, regulated data environments, or enterprise platform modernization experience

Education

Any Graduate

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