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Knowledge Engineer Jobs in Washington (NOW HIRING)

Fusion Technology LLC

Knowledge Manager

Washington, DC · On-site

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

We're looking for you, a web developer who will use equal parts skill and vision to create an ... Knowledge of site architecture and the differences between site in SharePoint O365, such as Hub ...

Booz Allen Hamilton, Inc.

Knowledge Manager

Washington, DC · On-site +1

$55K - $126K/yr

We're looking for you, a web developer who will use equal parts skill and vision to create an ... Knowledge of site architecture and the differences between site in SharePoint O365, such as Hub ...

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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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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 Manager

Fusion Technology LLC

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Job description

Who is Fusion Technology?

Fusion Technology is a performance-driven HUBZone Small Business concern residing in the heart of the beautiful mountainsides of West Virginia, steps away from the Federal Bureau of Investigation's Criminal Justice Information Services Division's Headquarters. Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to providing comprehensive IT services and solutions to mission-critical US Government programs and the Intel Community.

Position Location: Washington, DC (onsite)

Who are you?

Security-cleared Professional: A Top Secret Clearance is required to be considered for this position.

Education and Experience: You have a Bachelor's Degree in a related field. Experience in lieu of degree can be considered. A minimum of eight (8) years of knowledge/content management and administrative experience in at least two (2) of the following areas:

  • Administrative Support: Expertise in executive customer service, administrative support, scheduling, project management, relationship building, and communication.
  • Content Management: Expertise in content creation/curation, strategic writing/communication, copywriting, marketing, and DoW access control.
  • Knowledge Management: Expertise in change management, data analysis, database management, large-scale content curation/management, and DoW business/content processes.
  • Additionally, candidates shall have demonstrated expertise in Structured Query Language SQL to extract, analyze, and manage metadata across large-scale enterprise content repositories and DoW databases and business processes.

What matters to you matters to us.

Fusion Technology values its employees and works hard to ensure proper care for them and their families. We desire to compensate employees in a competitive, motivational, fair, and equitable way with other employers in the marketplace. Salary is only one component of employee compensation but an integral part of recruiting and retaining qualified employees. However, at Fusion Technology, we take a comprehensive approach and consider each employee's needs to tailor a compensation plan that provides financial security and peace of mind. Our competitive package includes a best-in-class matching 401K program, a comprehensive healthcare plan through Cigna, a competitive employer contribution to a health savings account, vision and dental plans, life insurance, short- and long-term disability, and personal leave, in addition to paid certifications and training.

Fusion Technology LLC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.Qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

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