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Ontology Engineer Jobs (NOW HIRING)

PeopleTec, Inc.

Ontology Engineer

Huntsville, AL · On-site

PeopleTec is seeking an Ontology Engineer to support the design and governance of an ontology ecosystem underpinning a digital engineering / digital thread effort at our Huntsville, AL location. This ...

PeopleTec, Inc.

Ontology Engineer

Huntsville, AL

PeopleTec is currently seeking an Ontology Engineer to support our Huntsville, AL location. PeopleTec is seeking an Ontology Engineer to support the design and governance of an ontology ecosystem ...

PeopleTec, Inc.

Ontology Engineer

Huntsville, AL

PeopleTec is seeking an Ontology Engineer to support the design and governance of an ontology ecosystem underpinning a digital engineering / digital thread effort at our Huntsville, AL location. This ...

The Talent Mine

Ontology Engineer

Dallas, TX

The Ontology Engineer will be a key contributor to the client's AI & Emerging Technology team, responsible for designing semantic data models, ontologies, and knowledge graphs that serve as the ...

The Talent Mine

Ontology Engineer

Dallas, TX

The Ontology Engineer will be a key contributor to the client's AI & Emerging Technology team, responsible for designing semantic data models, ontologies, and knowledge graphs that serve as the ...

Maxar

Ontology Engineer (TS/SCI)

Herndon, VA

Knowledge of ontology engineering methodologies, data modeling principles, and semantic interoperability frameworks. * Ability to communicate complex technical concepts effectively to both technical ...

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

The Global Purchasing Business Analytics Team at Stellantis is seeking a Ontology Engineer to build and maintain robust backend data solutions in support of global purchasing analytics. This role is ...

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

The Global Purchasing Business Analytics Team at Stellantis is seeking a Ontology Engineer to build and maintain robust backend data solutions in support of global purchasing analytics. This role is ...

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Ontology Engineer information

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$36.5K

$107.3K

$137.5K

How much do ontology engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for 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 does an Ontology Engineer do?

An Ontology Engineer designs, develops, and maintains ontologies—formal representations of knowledge within a domain. They define concepts, relationships, and rules to structure data effectively, enabling better integration, search, and reasoning in AI and semantic web applications. Their work often involves ontology languages like OWL, RDF, and SPARQL, as well as collaboration with domain experts and data scientists to ensure accurate and useful knowledge representation.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires years of experience and advanced certifications.

What are some common challenges faced by Ontology Engineers in their daily work?

Ontology Engineers often face the challenge of accurately modeling complex domains while ensuring that ontologies remain scalable and adaptable to evolving business needs. Aligning and integrating disparate data sources, balancing technical specifications with stakeholder requirements, and resolving ambiguity in terminology are frequent tasks. Collaboration with subject matter experts, data scientists, and software developers is central to success, requiring strong communication and compromise. Overcoming these challenges leads to more effective knowledge management solutions and greater organizational impact.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and certain engineering management roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require advanced certifications, leadership responsibilities, and expertise in areas like cloud computing, AI, or cybersecurity.

What are the key skills and qualifications needed to thrive in the Ontology Engineer position, and why are they important?

To thrive as an Ontology Engineer, you need a strong background in computer science, knowledge representation, and semantic web technologies, often paired with a relevant degree. Familiarity with tools like Protégé, RDF, OWL, SPARQL, and related data modeling or knowledge graph platforms is typically expected, as are certifications in data science or knowledge engineering. Excellent analytical thinking, attention to detail, collaborative mindset, and effective communication are invaluable soft skills in this role. These abilities enable you to design robust ontologies that support data integration, knowledge discovery, and cross-team understanding for complex organizational needs.

What jobs make $3,000 a day?

High-paying jobs such as senior ontology engineers, specialized data scientists, and consultants in technology or finance can earn around $3,000 per day, especially with extensive experience, advanced skills, and consulting or contract work arrangements. These roles often require expertise in data modeling, semantic technologies, or domain-specific knowledge, and may involve project-based or freelance work that commands premium rates.

What does an ontology engineer do?

An ontology engineer designs, develops, and maintains formal representations of knowledge within a specific domain, known as ontologies. They use tools like Protégé and languages such as OWL to create structured frameworks that enable data sharing, integration, and reasoning. This role often requires knowledge of semantic web technologies, logic, and data modeling.
More about Ontology Engineer jobs
What are the most commonly searched types of Ontology Engineer jobs? The most popular types of Ontology Engineer jobs are:
What states have the most Ontology Engineer jobs? States with the most job openings for Ontology Engineer jobs include:
What job categories do people searching Ontology Engineer jobs look for? The top searched job categories for Ontology Engineer jobs are:
Ontology Engineer jobs near you
Infographic showing various Ontology Engineer job openings in the United States as of July 2026, with employment types broken down into 61% Full Time, 8% Part Time, and 31% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Ontology Engineer

PeopleTec, Inc.

Huntsville, AL • On-site

Full-time

Posted 23 days ago

Job description

Opportunity
PeopleTec is currently seeking an Ontology Engineer to support our Huntsville, AL location.
PeopleTec is seeking an Ontology Engineer to support the design and governance of an ontology ecosystem underpinning a digital engineering / digital thread effort at our Huntsville, AL location. This role will design and maintain ontologies that allow data from multiple engineering tools and disciplines to be represented consistently, enabling traceability and interoperability across the engineering lifecycle.
Responsibilities:
  • Design, build, and maintain ontologies in OWL, extending Basic Formal Ontology (BFO) and the Common Core Ontologies (CCO), to represent engineering concepts across multiple disciplines and domains.
  • Maintain namespace and identifier conventions, modular organization of ontology content, versioning, and dependency relationships between ontology modules
  • Establish conventions for aligning model elements from MBSE tools (e.g., Cameo/MagicDraw, SysML) and other engineering tools with ontology classes, supporting consistent semantic tagging across tools.
  • Develop validation logic (e.g., SHACL or equivalent schema validation) and apply reasoning to check ontology consistency and data conformance.
  • Author queries (e.g., SPARQL or equivalent) to support traceability, impact analysis, and reporting needs.
  • Define and document ontology governance practices: modeling conventions, review and approval processes, reuse principles, and onboarding guidance for engineering teams and tool integrators.
  • Collaborate with systems engineers, software developers, and tool integration teams to ensure ontologies meet practical, real-world data exchange needs across MBSE, PLM, simulation, and other engineering tools.
  • Communicate ontology design decisions and tradeoffs clearly to technical and non-technical stakeholders.

Qualifications
Required Skills/Experience:
  • 10-15 years in systems engineering, knowledge representation, or digital engineering, with demonstrated ontology development on complex engineered systems.
  • Demonstrated experience developing ontologies for complex engineered systems, with evidence of applying that work in a practical or production context.
  • Hands-on expertise with formal ontology representation (e.g., OWL/RDFS) and/or property graph schema design, along with corresponding query and validation approaches (e.g., SPARQL/SHACL, or Gremlin/Cypher and schema validation tooling).
  • Practical experience with ontology editing tools such as Protégé.
  • Working knowledge of BFO and CCO
  • Experience with at least one graph-based data store used to host ontology or linked data (e.g., a triplestore such as GraphDB, Stardog, or Apache Jena Fuseki; or a property graph database such as Neo4j or JanusGraph).
  • Working knowledge of MBSE concepts and tools (e.g., Cameo/MagicDraw, SysML) sufficient to align model data with ontology structures.
  • Programming proficiency in Python for ontology tooling, automation, and validation pipelines.
  • Strong communication skills, with the ability to translate ontology concepts for engineers and stakeholders without formal ontology backgrounds.
  • Must be a U.S. Citizen
  • An active DoD Secret clearance is required to perform this work. Candidates are required to have an active Secret clearance upon hire (or the able to obtain), and the ability to maintain this level of clearance during their employment.

Education Requirements:
  • Bachelor's degree in a relevant field (Systems Engineering, Computer Science, Information Science, Philosophy/Logic, or similar).
  • Master's or PhD in related field preferred.

Desired Skills:
  • Experience with semantic data integration or digital thread implementations in an engineering or enterprise context.
  • Active DoD Secret, Top Secret, or TS/SCI clearance.
  • Familiarity with the Ontology Modeling Language (OML) or similar model-driven ontology approaches.
  • Familiarity with SysML v2.
  • Familiarity with DoD digital engineering policy and practices (e.g., DoDI 5000.97, DoD Digital Engineering Strategy).
  • Experience with ontology governance practices
  • Experience integrating ontologies with knowledge graphs or property graph databases, in addition to triplestores.

Overview
People First. Technology Always.
PeopleTec, Inc. is an employee-owned small business founded in Huntsville, AL that provides exceptional customer support by employing and retaining a highly skilled workforce.
Culture: The name "PeopleTec" was deliberately chosen to remind us of our core value system - our people. Our company's foundation was built on placing our employees and customers first. With an award-winning atmosphere, we have matured into a company that boasts the best and brightest across multiple technical fields.
Career: At PeopleTec, we value your long-term goals. Whether it's through our continuing-education opportunities, our robust training programs, or our "People First" benefits package, PeopleTec truly believes that our best investments are our people.
Come Experience It.
#cjpost #dpost
EEO Statement
PeopleTec, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following email address, applicationhelp@peopletec.com and/or phone number (256.319.3800) to contact us about your interest in employment with PeopleTec, Inc.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. PeopleTec, Inc. participates in E-Verify.

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