Jobs · Engineering · Virginia

DoD - Palantir Ontology Engineer - Manager

Montcure LLC · Dumfries, VA · 1 wk ago
On-siteEngineering$150k/yrFull-time

Key Responsibilities

  • Design and configure ontology objects within Palantir Foundry to represent audit artifacts, requirements, controls, and supporting documentation.
  • Define relationships between ontology objects to support artifact traceability across audit lifecycle stages.
  • Develop and maintain data pipelines that ingest and transform financial, logistics, and property data sources into the ontology.
  • Configure object views and operational data structures that enable artifact tracking and lifecycle visibility.
  • Collaborate with data engineers and functional stakeholders to ensure ontology structures support audit workflows and reporting requirements.
  • Collaborate with Navy financial management stakeholders to translate audit requirements into ontology structures and data models.
  • Support artifact traceability across audit lifecycle stages to strengthen audit response and reporting.
  • Ensure platform outputs support audit response and financial control validation.

Required Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience.
  • Experience: 7+ years of enterprise data engineering, analytics development, or data architecture.
  • Experience: 2+ years Palantir Foundry experience or experience working with comparable enterprise data platforms.
  • Experience: Designing or implementing semantic data models, ontologies, or knowledge graph architectures.
  • Experience: Supporting Navy FM, FMDDT, or financial system audit readiness initiatives.
  • Skills: Strong understanding of ontology modeling and semantic data architecture.
  • Skills: Experience with data pipelines, data modeling, and transformation workflows.
  • Skills: Familiarity with DevSecOps practices and secure cloud environments.
  • Skills: Ability to translate business or audit requirements into technical data models.
  • Skills: Strong collaboration skills working across technical and functional teams.

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