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Knowledge Engineer Jobs in Washington (NOW HIRING)

Sealing Technologies

Service Delivery Engineer

Columbia, MD · On-site

$127K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will serve as the technical bridge between engineering, EMC production, and customer delivery. Note: This position is contingent upon award of an anticipated federal contract. Duties and ...

Barbaricum

Knowledge Manager

Washington, DC

... Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to ... Barbaricum is seeking a Knowledge Manager to support TRADOC G2 operations at Fort Eustis, VA ...

Fusion Technology

Knowledge Manager

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to ... A minimum of eight (8) years of knowledge/content management and administrative experience in at ...

Booz Allen Hamilton

Knowledge Manager

Washington, DC · On-site

$55K - $126K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Knowledge Manager The Opportunity: When an organization has multiple moving parts in its processes ... You'll analyze discussions with leadership and developers that will help refine your client ...

AnaVation

Knowledge Manager

Bethesda, MD · On-site

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As our Knowledge Manager you would provide access and knowledge management for a variety of managed ... We deliver groundbreaking research with advanced software and systems engineering that provides an ...

AnaVation

Knowledge Manager

Bethesda, MD · On-site

$95K - $115K/yr

As our Knowledge Manager you would provide access and knowledge management for a variety of managed ... We deliver groundbreaking research with advanced software and systems engineering that provides an ...

Booz Allen Hamilton

Knowledge Manager

Washington, DC · On-site

$55K - $126K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Knowledge Manager The Opportunity: The right interface can make a site easy to use, encourage early ... We're looking for you, a web developer who will use equal parts skill and vision to create an ...

AnaVation

Knowledge Manager

Bethesda, MD · On-site

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As our Knowledge Manager you would provide access and knowledge management for a variety of managed ... We deliver groundbreaking research with advanced software and systems engineering that provides an ...

Fusion Technology

Knowledge Manager

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to ... A minimum of eight (8) years of knowledge/content management and administrative experience in at ...

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Knowledge Engineer information

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How much do knowledge engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for knowledge engineer in Washington is $53.92, according to ZipRecruiter salary data. Most workers in this role earn between $44.38 and $65.34 per hour, depending on experience, location, and employer.

What are some common challenges knowledge engineers face when collaborating with subject matter experts (SMEs)?

Knowledge Engineers often work closely with subject matter experts to extract and formalize complex domain knowledge into structured formats for systems like knowledge bases or AI applications. One common challenge is bridging the communication gap, as SMEs may use specialized jargon or have implicit knowledge that's difficult to articulate. Ensuring accuracy while translating this expertise into machine-readable forms requires patience, active listening, and iterative feedback. Building strong relationships and developing effective questioning techniques are essential for overcoming these challenges and delivering high-quality knowledge models.

What is the difference between Knowledge Engineer vs Data Scientist?

AspectKnowledge EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of ontologies and knowledge basesBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentTypically in AI development teams, focusing on knowledge systems and expert systemsOften in analytics teams, working with large datasets and predictive modeling
Employer & Industry UsageUsed in AI, robotics, and enterprise knowledge managementCommon in tech, finance, healthcare, and marketing sectors

While both roles involve working with data and information, Knowledge Engineers focus on structuring and encoding knowledge for AI systems, whereas Data Scientists analyze data to extract insights and build predictive models. Their skills and tools differ, but both are essential in data-driven industries.

How much do knowledge engineers make?

Knowledge engineers typically earn a median annual salary between $80,000 and $130,000, depending on experience, education, and industry. Senior roles or those with specialized skills in artificial intelligence and data management can earn higher salaries, often exceeding $150,000 annually.

What are the key skills and qualifications needed to thrive as a knowledge engineer, and why are they important?

To thrive as a Knowledge Engineer, you need a solid background in computer science, logic, and knowledge representation, often supported by a relevant degree. Familiarity with semantic web technologies, ontology development tools (like Protégé), and knowledge management systems is typically required. Analytical thinking, attention to detail, and strong communication skills help you effectively translate complex information into structured, usable formats. These capabilities ensure that knowledge systems are accurate, interoperable, and valuable for organizational decision-making.

What is a knowledge engineer?

A knowledge engineer works with data and computer systems with the goal of making the technology imitate human thought processes to solve problems that typically require expertise. Working in a sector of artificial intelligence within the information technology field, a knowledge engineer looks at everyday processes and determines what course of thought a human takes to make a decision or begin an activity. They then create computer systems reliant on this extensive data to guide a machine to simulate human cognition and problem-solving. The data validation process is a vital aspect of a knowledge engineer’s job. They must gather an accurate understanding of the tasks at hand and ensure that the data meets specific standards.

More about Knowledge Engineer jobs
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What cities in Washington are hiring for Knowledge Engineer jobs? Cities in Washington with the most Knowledge Engineer job openings:
What are popular job titles related to Knowledge Engineer jobs in WA? For Knowledge Engineer jobs in WA, the most frequently searched job titles are:
Knowledge Engineer jobs near you
Infographic showing various Knowledge Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $112,157 per year, or $53.9 per hour.

Knowledge Engineer

Crown Point Technologies, LLC

Columbia, MD • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Crown Point Technologies, LLC is an Economically Disadvantaged Women-Owned Small Business dedicated to providing critical full-stack software development and data engineering solutions. They are seeking a Knowledge Engineer to support the development of enterprise data and knowledge solutions in a fast-paced pharmaceutical environment, focusing on structuring complex data into clear, usable models that support analytics and decision-making.
Responsibilities:
• Design and maintain ontologies and knowledge models
• Use semantic technologies (RDF, OWL, SPARQL) to structure and query data
• Work with stakeholders to understand data needs and translate them into models
• Build and test knowledge graph prototypes
• Collaborate with engineers and data scientists to integrate solutions into applications and pipelines
• Support data consistency, documentation, and best practices
• Manage multiple priorities in a fast-paced environment
Qualifications:
Required:
• Applicants must be authorized to work in the United States without sponsorship now or in the future.
• Bachelor’s or Master’s degree in a relevant field (Computer Science, Data, etc.)
• 3–7 years of experience with semantic technologies or knowledge modeling
• Experience with ontology tools (e.g., Protégé) or graph databases (e.g., Graph Studio, Neo4j, Stardog)
• Strong communication and problem-solving skills
Preferred:
• Experience in pharma, life sciences, or regulated environments is a plus
• Familiarity with Python is a plus
Company:
Crown Point Technologies, LLC is an Economically Disadvantaged Women-Owned Small Business (EDWOSB) dedicated to providing critical full-stack software development and data engineering solutions and services to both Government and commercial clients. Founded in 2021, the company is headquartered in Columbia, Maryland (MD), US, , with a team of 11-50 employees. The company is currently Early Stage.

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