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Full Time Ontology Jobs (NOW HIRING)

Fabrion

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 ...

Infosys

Palantir Foundry Platform Ops Engineer(Admin)

$66K - $100K/yr

Experience of Foundry Ontology * In order to comply with legal requirements, this role is limited ... full-time Infosys employee you are also eligible for the following benefits: * Medical/Dental ...

YO AI Labs

Data Architect - Snowflake

Houston, TX

$61 - $78.25/hr

Information technology (IT) Job Type : Full Time Location : Houston Experience : 12 - 18 Years Role ... Support ontology-driven modeling, including entity definitions, taxonomies, relationships, business ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days ... Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days ... Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days ... Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval ...

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Full Time Ontology information

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$77K

$112.7K

$122K

How much do full time ontology jobs pay per year?

As of Sep 3, 2026, the average yearly pay for full time ontology in the United States is $112,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $121,000.00 per year, depending on experience, location, and employer.

What is a full time ontologist?

A Full Time Ontologist is a professional who specializes in the creation, management, and maintenance of ontologies—structured frameworks that define relationships among concepts within a particular domain. Ontologists work to organize information in a way that allows computers and humans to understand and share data more effectively. They are commonly employed in fields like artificial intelligence, data science, healthcare, and knowledge management, helping to standardize terminology and improve data interoperability. Full Time Ontologists typically collaborate with data scientists, software engineers, and subject matter experts to build and update ontological models. Their work is crucial for enhancing the accuracy and efficiency of data-driven systems.

What are the key skills and qualifications needed to thrive as an ontologist, and why are they important?

To thrive as an Ontologist, you need a strong background in information science, logic, and data modeling, often supported by a relevant degree in computer science or a related field. Familiarity with ontology development tools (like Protégé), semantic web technologies (such as OWL, RDF, and SPARQL), and sometimes certifications in knowledge management are typical requirements. Exceptional analytical thinking, attention to detail, and effective communication skills help in collaborating with cross-functional teams and translating complex concepts. These skills are crucial for building precise, scalable knowledge structures that enable organizations to manage and leverage information effectively.

What are some common challenges faced by professionals in full time ontology roles, and how can they be managed effectively?

Professionals in Full Time Ontology roles often encounter challenges such as aligning complex data structures across different departments and ensuring consistent terminology throughout an organization. Managing diverse stakeholder requirements and adapting ontologies to evolving business needs can also be demanding. Effective communication, collaborative workshops, and staying updated with industry standards are key strategies for overcoming these challenges. Regularly reviewing and refining ontologies ensures they remain relevant and useful for both technical and non-technical teams.

What is the difference between Full Time Ontology vs Part Time Ontology?

AspectFull Time OntologyPart Time Ontology
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
CredentialsOften requires advanced degrees or certifications in ontology or related fieldsMay require similar credentials but with flexible experience levels
Work EnvironmentFull-time employment, often in research institutions or tech companiesPart-time roles, possibly freelance or consulting
Job ResponsibilitiesComprehensive ontology development, maintenance, and integrationAssisting with specific projects or tasks, supporting ongoing ontology work

Full Time Ontology roles involve dedicated, full-week work focused on developing and managing ontologies, often requiring advanced credentials. Part Time Ontology positions offer flexible hours, suitable for supporting specific projects or gaining experience without full-time commitment. The choice depends on your availability and career goals.

More about Full Time Ontology jobs

What cities are hiring for Full Time Ontology jobs?

Cities with the most Full Time Ontology job openings:

What are the most commonly searched types of Ontology jobs?

The most popular types of Ontology jobs are:

What states have the most Full Time Ontology jobs?

States with the most job openings for Full Time Ontology jobs include:

What job categories do people searching Full Time Ontology jobs look for?

The top searched job categories for Full Time Ontology jobs are:

Full Time Ontology jobs near you
Infographic showing various Full Time Ontology job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, 1% Temporary, and 6% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $112,707 per year, or $54.2 per hour.

Data Engineer, Mission Data Products - Clearance Required

LMI

Fort Belvoir, VA • On-site

$128K - $190K/yr

Full-time

Posted 15 days ago

Job description

Overview

LMI is seeking a Staff Data Engineer to build authoritative data products supporting Army acquisition and program operations. This engineer will own data pipelines, models, and ontology within Army Vantage or Palantir Foundry.

This is a senior individual-contributor role for an engineer who can make architectural decisions, build production systems, and raise the technical standard of the team.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Own the architecture and implementation of scalable data pipelines and data products.
  • Integrate and transform data from multiple Army and enterprise sources.
  • Develop data models and ontology that support applications, reporting, and analysis.
  • Design for data quality, lineage, security, observability, and long-term maintainability.
  • Establish engineering standards for testing, source control, deployment, and operations.
  • Partner with software engineers, product designers, and customer stakeholders.
  • Review technical designs, mentor engineers, and resolve complex data challenges.
Qualifications

Minimum Qualifications

  • Bachelor's degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience.
  • Eight or more years of experience building production data systems.
  • Strong proficiency with Python, SQL, and modern data-engineering patterns.
  • Experience designing data pipelines and products on Palantir Foundry, Army Vantage, or a comparable enterprise data platform.
  • Experience with data modeling, ontology, data quality, and lineage.
  • Strong software-engineering fundamentals, including testing, source control, CI/CD, and monitoring.
  • Experience supporting a Department of Defense customer.
  • Active Secret clearance.

Preferred Qualifications

  • Experience supporting the U.S. Army.
  • Direct experience with Palantir Foundry or Army Vantage.
  • Experience with PySpark or other distributed data-processing technologies.
  • Familiarity with Army acquisition or program management data.
  • Experience with cloud platforms, DevSecOps, and infrastructure as code.

The target salary range for this position is $128,301 - $190,653.79.

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. 

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job LocationsUS-VA-Fort BelvoirEmployment Type: FULL_TIME

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