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Full Time Ontology Engineer information

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$36.5K

$107.3K

$137.5K

How much do full time ontology engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for full time ontology engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Full Time Ontology Engineers when integrating ontologies with existing data systems?

Full Time Ontology Engineers often encounter challenges such as aligning new ontologies with legacy data structures, ensuring semantic consistency across diverse data sources, and dealing with incomplete or unstructured data. Collaboration with data architects and domain experts is crucial to accurately map concepts and relationships, and to troubleshoot integration issues. Staying updated with evolving standards and tools in semantic technologies is also important to maintain interoperability and long-term scalability.

What are the key skills and qualifications needed to thrive as a Full Time Ontology Engineer, and why are they important?

To thrive as a Full Time Ontology Engineer, you need a strong background in computer science, knowledge representation, and semantic web technologies, often supported by a degree in a related field. Familiarity with tools and languages such as OWL, RDF, SPARQL, Protégé, and experience with ontology management systems is typically required. Strong analytical thinking, attention to detail, and effective collaboration and communication skills help in designing and maintaining complex ontologies. These skills ensure that data is accurately structured, interoperable, and usable for advanced AI and data integration applications.

What does a Full Time Ontology Engineer do?

A Full Time Ontology Engineer is responsible for designing, developing, and maintaining ontologies, which are structured frameworks for organizing information and data. They work to define relationships between concepts within a specific domain, often using languages like OWL or RDF. Ontology Engineers collaborate with subject matter experts, data scientists, and software developers to ensure data is semantically consistent and interoperable across systems. Their work is crucial in fields like artificial intelligence, data integration, and knowledge management.

What is the difference between Full Time Ontology Engineer vs Data Scientist?

AspectFull Time Ontology EngineerData Scientist
Required CredentialsDegree in Computer Science, Knowledge Engineering, or related fields; familiarity with ontology languages like OWLDegree in Data Science, Statistics, or related fields; proficiency in programming and statistical tools
Work EnvironmentResearch labs, AI teams, knowledge management projectsBusiness analytics, data analysis teams, tech companies
Industry UsageAI, semantic web, knowledge managementBusiness intelligence, predictive analytics, machine learning

While both roles involve working with data and knowledge, Full Time Ontology Engineers focus on developing and maintaining formal ontologies for AI and semantic web applications. Data Scientists analyze large datasets to extract insights and build predictive models. The roles overlap in data handling but differ in their core focus and tools used.

More about Full Time Ontology Engineer jobs
What cities are hiring for Full Time Ontology Engineer jobs? Cities with the most Full Time Ontology Engineer job openings:
What are the most commonly searched types of Ontology Engineer jobs? The most popular types of Ontology Engineer jobs are:
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What job categories do people searching Full Time Ontology Engineer jobs look for? The top searched job categories for Full Time Ontology Engineer jobs are:
Full Time Ontology Engineer jobs near you
Infographic showing various Full Time Ontology Engineer job openings in the United States as of June 2026, with employment types broken down into 14% As Needed, 10% Temporary, and 76% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Senior Palantir Foundry Ontology Engineer - Navy Audit Artifact Management (Secret Cleared)

Potawatomi Federal Solutions, LLC

Washington, DC • Remote

$118K - $162K/yr

Full-time

Posted 13 hours ago

Job description

Position Title: Senior Palantir Foundry Ontology Engineer - Navy Audit Artifact Management

Location: National Capital Region (Remote Eligible)

Job Type: Full Time

Level: Senior Engineer/Architect

Clearance: Secret

Job Summary

The Senior Palantir Foundry Ontology Engineer will support development of a Navy audit artifact management and traceability platform within Palantir Foundry. This role will design and implement ontology-driven data models that link audit artifacts, financial controls, requirements, and audit evidence across enterprise systems within Palantir Foundry to support Navy Financial Management Digital Data Transformation (FMDDT) initiatives, audit readiness, artifact traceability, data governance requirements and ontology modeling to ensure traceability of audit artifacts, enhance financial controls, and improve audit readiness. The position collaborates with Navy FM, audit, and technical stakeholders to translate audit requirements into scalable semantic data structures that support audit readiness, traceability, and analytics.

Key Responsibilities

Platform Development & Ontology Design:

  • 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.

Audit & Financial Support:

  • 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.

Data Governance & Security:

  • Implement role-based access controls (RBAC) and segregation of duties (SoD).

  • Ensure compliance with DoD security, data governance, and IL4/IL5 requirements.

  • Support governance of audit artifact metadata, lineage tracking, and audit data integrity.

Platform Enablement & Stakeholder Engagement:

  • Develop operational applications, analytic views, and reporting structures within Foundry to support audit lifecycle visibility.

  • Prepare technical documentation and provide platform guidance to functional and technical users.

  • Collaborate with engineers and analysts supporting the platform modernization effort.

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.

  • 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 with Navy FM, FMDDT, or financial system audit readiness initiatives.

  • Experience supporting audit response, financial management analytics, or compliance-driven systems preferred.

Skills:

  • Strong understanding of ontology modeling and semantic data architecture.

  • Experience with data pipelines, data modeling, and transformation workflows.

  • Familiarity with DevSecOps practices and secure cloud environments.

  • Ability to translate business or audit requirements into technical data models.

  • Strong collaboration skills working across technical and functional teams.

Career Level Alignment:

  • Senior Engineer/Architect: 8+ years supporting enterprise data platforms, semantic data modeling, and data architecture initiatives.

#ClearanceJobs

Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.

Employment Type: full-time

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