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Knowledge Engineer Jobs in Virginia (NOW HIRING)

Collaborate with software engineers, DevOps teams, and knowledge management personnel to support repository operations. * Design, build, and maintain services and products to effectively make ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

Everforth ECS is seeking a Knowledge Management Engineer to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax. Please Note: This position is contingent upon ...

... engineers, warfighters, and mission partners can locate and act on critical program information at the speed of operations . This role is central to ECS's commitment to centralized knowledge ...

We are hiring a Knowledge Graph Engineer to help design, build, and operate the entity resolution and graph layer that connects our multimodal pipelines. You will work closely with the Director of ...

Knowledge Manager

Mclean, VA · On-site

$55.20K - $126K/yr

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 ...

Knowledge Manager WORK LOCATION: Reston, VA JOB CATEGORY: Intelligence JOB TYPE: Full-Time ... Provides a full range of intelligence and administrative support to assist analysts, engineers, and ...

In this role, the specialist leads the design and continuous improvement of knowledge infrastructure that empowers developers, operators, mission stakeholders, and leadership to locate authoritative ...

... with programmers and AWG/JDS leadership on website design, development, maintenance, and ... Knowledge & Content Management • Conduct annual comprehensive analyses of existing knowledge ...

We are hiring a Knowledge Graph Engineer to help design, build, and operate the entity resolution and graph layer that connects our multimodal pipelines. You will work closely with the Director of ...

We are hiring a Knowledge Graph Engineer to help design, build, and operate the entity resolution and graph layer that connects our multimodal pipelines. You will work closely with the Director of ...

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Showing results 1-20

Knowledge Engineer information

See Virginia salary details

$21

$47

$72

How much do knowledge engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for knowledge engineer in Virginia is $47.20, according to ZipRecruiter salary data. Most workers in this role earn between $38.85 and $57.21 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 are Knowledge Engineers?

Knowledge Engineers are professionals who design, develop, and maintain systems that simulate human knowledge and reasoning. They work at the intersection of computer science, artificial intelligence, and domain expertise to gather and structure information so that machines can use it to solve complex problems. Their responsibilities often include creating knowledge bases, developing ontologies, and implementing rules or logic to enable decision-making in expert systems or AI applications. Knowledge Engineers play a crucial role in enabling organizations to leverage AI for problem solving and automation.

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.

What are popular job titles related to Knowledge Engineer jobs in Virginia? For Knowledge Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineer jobs in Virginia look for? The top searched job categories for Knowledge Engineer jobs in Virginia are:
Infographic showing various Knowledge Engineer job openings in Virginia as of May 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 59% In-person, 20% Hybrid, and 21% Remote job distribution, with an average salary of $98,177 per year, or $47.2 per hour.
Journeyman Repository Engineer

Journeyman Repository Engineer

Leidos

Alexandria, VA • On-site

Full-time

Posted 20 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

58th of 424 rated business services


Job description

This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Journeyman Repository Administrator to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.
In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.
Primary Responsibilities:
  • Administer and maintain code and documentation repositories (e.g., Git-based platforms, artifact repositories, or knowledge repositories).
  • Develop, deliver, and maintain appropriate Configuration Management Database (CMDB) technology as part of an enterprise level site reliability planning and execution.
  • Support repository configuration, access control, and permission management.
  • Ensure proper organization, version control, and structure of repository content.
  • Assist users with repository access, usage, and troubleshooting issues.
  • Support integration of repositories with DevSecOps pipelines and development workflows .
  • Maintain repository documentation, standards, and usage guidelines.
  • Monitor repository usage and identify opportunities for improvement in structure and performance.
  • Support configuration management activities, including version tracking and baseline management.
  • Assist in enforcing compliance with program standards, naming conventions, and governance policies.
  • Support backup, recovery, and archival processes for repository data.
  • Collaborate with software engineers, DevOps teams, and knowledge management personnel to support repository operations.
  • Design, build, and maintain services and products to effectively make production-ready AI/ML models accessible for customer use.
  • Perform site reliability engineering to build and maintain a reliable, scalable, and efficient System by applying software engineering principles to operational tasks.
  • Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives as needed.

Basic Qualifications:
  • Active TS/SCI clearance.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical discipline and 4-8 years of relevant experience OR Master's degree in a related field and 2-6 years of relevant experience.
  • Experience working with version control systems (e.g., Git, GitLab, GitHub, Bitbucket).
  • Experience supporting repository management, configuration, or system administration tasks.
  • Experience with basic scripting or automation (e.g., Bash, Python, or similar).
  • Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems.
  • Strong organizational and documentation skills.
  • Strong analytical and problem-solving skills.
  • Ability to support multiple users and manage competing priorities.

Preferred Qualifications:
  • Experience integrating repository platforms into CI/CD and DevSecOps pipelines.
  • Experience supporting repositories across multi-enclave DoD environments.
  • Familiarity with artifact repositories (e.g., Nexus, Artifactory) or data repositories.
  • Experience supporting DevSecOps pipelines and CI/CD integrations.
  • Experience with configuration management tools and practices.
  • Experience supporting knowledge management or documentation platforms.
  • SAFe Agilist (SA) or related SAFe certification.
  • Relevant cloud certification (AWS, Azure, or GCP).
  • Experience with site reliability engineering and performance optimization.
  • Experience supporting automated compliance, continuous monitoring, and vulnerability remediation workflows.

#ADVANA
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 8, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $87,100.00 - $157,450.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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