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Ontology Engineer Jobs (NOW HIRING)

Tiger Analytics Inc.

Ontology Architect

We are looking for an Ontology Architect to lead high-impact applied Engineering and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · Remote

... engineers to translate knowledge into formal models. - Govern ontology lifecycle, versioning, and semantic consistency. Healthcare Ontology & Semantic Modeling - Develop ontologies using standards ...

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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 7, 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.
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Ontology Engineer jobs near you
Palantir Foundry Ontology Engineer, Junior

Palantir Foundry Ontology Engineer, Junior

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$69K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 25 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description

Palantir Foundry Ontology Engineer, Junior
The Opportunity:
As an engineering and analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. Your deep engineering and analytics expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results.
As a Forward Deployed Engineer on our Defense Technology team, you'll introduce innovative methodologies to make a real-world impact on protecting our military. You'll share your skills in data engineering, data science, modeling, and technology integration to develop solutions to drive the mission forward. You'll collaborate with engineers, product owners, analysts, and mission stakeholders to design and develop Foundry-based applications that meet mission needs.
What You'll Do:
  • Translate mission problems into technical architectures, workflows, and ontologies.
  • Build and maintain production-grade data pipelines using Foundry's code repositories and pipeline builder with both structured and unstructured dataset inputs.
  • Design, develop, and maintain ontologies, and create operational workflows and decision-support capabilities.
  • Troubleshoot, optimize, and improve existing data pipelines and applications supporting mission-critical operations.
  • Work directly with clients to gather requirements, iterate on prototypes, and refine solutions through deployment.
  • Implement engineering best practices, including version control, testing, and documentation.
  • Communicate technical concepts clearly to both technical and non-technical audiences.
  • Travel to and work from client sites as needed for workshops, deployment activities, or embedded support.

Join us. The world can't wait.
You Have:
  • 1+ years of experience in software, data, or platform engineering
  • Experience with programming languages such as Python or TypeScript, and Palantir Foundry
  • Knowledge of the core Foundry applications and designing solutions to address client challenges
  • Ability to engage with stakeholders, define requirements and translate them into technical solutions, and break down complex mission challenges into implementable solutions
  • Ability to work independently and take ownership of outcomes while collaborating with a multi-disciplinary team
  • Ability to obtain a Secret clearance
  • Bachelor's degree in CS, Engineering, Analytics, or a Technology field
  • Foundry and AIP Builder Foundations Quiz Credential Badge

Nice If You Have:
  • Experience working directly with mission operators, analysts, or stakeholders in embedded or forward-deployed environments for clients in the defense or intelligence sectors
  • Experience creating data connections, code repos, or pipeline builders for data ingestion and transformation, and debugging and resolving pipeline issues, errors, and performance bottlenecks
  • Experience in ontology design and management, designing and developing applications and workflows, and integrating AIP solutions
  • Experience with Git repositories, CI/CD workflows, or infrastructure automation
  • Experience with AI or ML model integration within Foundry applications
  • Possession of strong analytical and problem-solving skills
  • Secret clearance

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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