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Full Time Ontology Jobs (NOW HIRING)

Fractal

Lead Architect

New York, NY · On-site

$60.50 - $82.75/hr

Role Overview Lead Architect - Ontology, AI, and Snowflake (Insurance Domain) Role Summary We are ... Benefits As a full-time employee of the company or as an hourly employee working more than 30 hours ...

Prescient Edge

Ontologist

Doral, FL · On-site

Job Title Ontologist Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time ... Minimum of 11+ years of experience in ontology development, semantic technologies. * Candidates ...

Revolutional, LLC

Palantir Field Engineer

Mclean, VA

$150 - $185K/hr

McLean, VA (Hybrid) Terms: Full-time Salary: $150-$185k DOE Clearance: Ability to obtain and ... Translate legacy system behavior into ontology objects, links, and actions * Build data integration ...

Cloud BC Labs

Palantir Developer

Chicago, IL · On-site

Peoria, IL (Onsite) Employment Type: Full-Time /W2 Job Summary We are looking for a highly skilled ... Develop and manage Ontology Models , Object Types, Actions, and semantic layers. * Create ...

YO AI Labs

Snowflake Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Job Type: Full-Time Must Haves: * Strong Snowflake Data Architecture experience. * Data Governance & Metadata Management expertise. * Understanding of Ontology & Semantic Modeling. * Working ...

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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 Aug 8, 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 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 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 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 90% Full Time, 1% Part Time, 1% Temporary, and 8% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $112,707 per year, or $54.2 per hour.

Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support (Secret C...

Potawatomi Federal Solutions, LLC

Washington, DC • Remote

Full-time

Re-posted 24 days ago

Job description

Position Title: Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support

Location: National Capital Region (Remote Eligible)

Job Type: Full Time

Level: Mid-Level Analyst

Clearance: Secret

Job Summary

The Mid-Level Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupiter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications.

Key Responsibilities

Data Pipeline Development:

  • Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupiter platform.

  • Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets.

  • Implement transformation logic to prepare raw datasets for curated data layers and ontology population.

Data Platform Operations:

  • Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring.

  • Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability.

  • Maintain dataset lineage awareness and support platform data integrity practices.

Data Integration and Support:

  • Assist with integrating enterprise system data into the platform environment.

  • Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly.

  • Document pipelines and transformation logic to support maintainability of the platform.

Qualifications

Education:

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience.

Experience:

  • 4-7 years experience in data engineering or platform engineering roles.

  • Experience developing Python-based data pipelines

  • Experience building ETL/ELT pipelines and data transformation workflows

  • Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments

  • Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred

Skills:

  • Strong Python development skills for data processing and pipeline development

  • Experience with SQL and data transformation frameworks

  • Familiarity with distributed data platforms and large-scale data environments

  • Strong troubleshooting and problem-solving skills in data pipeline operations

  • Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders

Career Level Alignment:

  • Mid-Level Engineer: 4-7 years supporting data platform engineering, pipeline development, and enterprise data integration 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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