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Knowledge Engineer Jobs in Washington (NOW HIRING)

The engineer will also play a significant role in preserving institutional knowledge, and supporting branch-level planning and execution activities. Interested candidates need to thrive in an ...

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Knowledge Engineer information

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$25

$53

$83

How much do knowledge engineer jobs pay per hour?

As of Sep 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 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.

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 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 $120,000, 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. Compensation may also include benefits such as bonuses and stock options.

What job categories do people searching Knowledge Engineer jobs in Washington look for?

The top searched job categories for Knowledge Engineer jobs in Washington are:

What cities in Washington are hiring for Knowledge Engineer jobs?

Cities in Washington with the most Knowledge Engineer job openings:

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, 14% Part Time, 2% Temporary, and 6% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $112,157 per year, or $53.9 per hour.

Knowledge Manager - Active TS/SCI with CI Poly

Washington, DC • On-site

ENS Solutions, LLC
IT Services • 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

Knowledge Managers design, manage, and maintain knowledge management (KM) systems that improve information sharing, collaboration, and secure access to organizational data. This role is ideal for an organized professional who enhances knowledge transfer and supports informed decision-making across the enterprise.

Key Responsibilities

 KM Systems Administration

  • Develop and maintain KM systems (e.g. SharePoint, databases, libraries, internal sites).
  • Manage the KM environment to improve information flow and usability.
  • Ensure all records in compliance with all regulations.

Training & User Support

  • Train users, including IC partners, and create user guides.
  • Serve as the primary point of contact for KM tool support and best practices.

Policy & Repository Management

  • Maintain repositories for instructions, Internal Process Documents (IPDs), and policy memos to ensure accuracy, consistency and accessibility.

Knowledge Transfer & Collaboration

  • Strengthen the KM environment to support collaboration and information sharing.
  • Lead efforts to document and retain critical organizational knowledge.

Data Integrity & Security

  • Ensure records are accurate, accessible, and secure.

Success Factors

  • Organized and detail-oriented
  • Collaborative and supportive
  • Technically proficient and innovative
  • Strong focus on security and compliance

Requirements

  • Bachelor’s degree in a related field
  • 3+ years managing SharePoint or KM platforms
  • Experience in records management or KM processes
  • Strong communication and training skills
  • Active TS/SCI : willingness to obtain a CI Poly

Preferred

  • Experience with DoD, IC, or federal agencies
  • Familiarity with IC information-sharing policies and security requirements
  • SharePoint super user experience

Benefits

Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients.

Why ENS?

  • Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS
  • 401k Contribution from Day 1
  • PTO + 11 Paid Federal Holidays
  • Long & Short Term Disability Insurance
  • Group Term Life Insurance
  • Tuition, Certification & Professional Development Assistance
  • Workers’ Compensation
  • Relocation Assistance

Candidate AI Usage Policy

AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.