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Full Time Ontology Engineer Jobs (NOW HIRING)

Job Type Full-time Description Second-61: We are Vigilant Defenders. Our foundation is built upon ... Coordinate efforts across data engineering, analytics, and geospatial teams * Oversee development ...

Associate Data Engineer

Ambler, PA · Hybrid

$70K - $90K/yr

... ontology-based use cases. This is an excellent opportunity for a recent graduate to work on real ... Please note: This is a full-time, hybrid position located at the headquarters in Ambler, PA ...

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135K - $163K/yr

San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + early-stage equity Backed ... ontology ready for model training, vector search, and insight-to-action workflows. We're looking ...

Data Engineer

Burlington, VT · On-site

$112K - $135K/yr

... work full time, on-site, embedded at US Government offices in the Burlington, VT area. • Data ... Ontology development at a warehouse level • Proficiency in at least one programming language ...

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g ...

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g ...

Data Engineer - AI

Dallas, TX

$113K - $136K/yr

Data Engineer - AI Dallas, TX (preferred) | Hybrid (Bishop Arts preferred) | Full-time Reports to ... Work alongside engineers building ontology layers, semantic layers, and knowledge graph systems

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Showing results 1-20

Full Time Ontology Engineer information

See salary details

$36.5K

$107.3K

$137.5K

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

As of Jun 16, 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:
What states have the most Full Time Ontology Engineer jobs? States with the most job openings for Full Time Ontology Engineer jobs include:
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.
Knowledge Base Engineer

Knowledge Base Engineer

Peraton

Annapolis Junction, MD

$104K - $166K/yr

Full-time

Posted 3 days ago


Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

46th of 204 rated it services


Job description

Responsibilities

Peraton Labs is seeking a knowledge base engineer who specializes in designing and managing version-controlled knowledge bases with ontologies, mission briefings, and configurations that scope a generative AI-powered analytical platform's capabilities to specific programs or domains. This role develops automated knowledge base generation capabilities and refines ontology structures based on usage patterns and user feedback.

Key Responsibilities

  • Design knowledge base templates for different programs
  • Develop automated knowledge base generation from program data
  • Refine ontology structures based on analytical usage patterns and user feedback
  • Build knowledge base lifecycle management: creation, versioning, merging, archival
  • Implement knowledge base quality metrics and optimization recommendations
  • Develop cross-knowledge base search and comparison capabilities for portfolio-level analysis
  • Create onboarding workflows that guide knowledge base setup
  • Collaborate with Knowledge Graph Engineers on knowledge base-to-knowledge graph integration

#px2026

Qualifications

Required Qualifications

  • Minimum of 5+ years of experience with a Bachelor's degree, 3+ years with a Master's or a PhD in Computer Science, Information Science, or related field
  • Hands-on experience in knowledge management, information architecture, or ontology engineering
  • Strong Python proficiency
  • Experience with knowledge base design and management
  • Understanding of RAG (retrieval-augmented generation) architectures and their optimization
  • Familiarity with version control systems and configuration management
  • Experience with document classification and taxonomy design
  • Strong analytical and organizational skills
  • US Citizenship with the ability to obtain/maintain a Secret clearance

Preferred Qualifications

  • Familiarity with semantic web technologies (RDF, OWL, SPARQL)
  • Experience with vector search optimization and embedding model selection
  • Knowledge of information governance and access control patterns
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Benefits

Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017