ZipRecruiter

Log In

1

Knowledge Engineer Jobs in Maryland (NOW HIRING)

JET Systems

Be Seen First

DATA SCIENTIST - KNOWLEDGE GRAPHS & AI

Lexington Park, MD · On-site

$120K - $165K/yr

Jaster Engineering Technology (JET) Systems develops, maintains, and innovates systems for specific ... The Data Scientist - Knowledge Graphs and AI supports the design, development, integration, and ...

previous page

Showing results 41-60

All JobsKnowledge Engineer JobsKnowledge Engineer Jobs in Maryland

Knowledge Engineer information

See Maryland salary details

$21

$46

$71

How much do knowledge engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for knowledge engineer in Maryland is $46.21, according to ZipRecruiter salary data. Most workers in this role earn between $38.03 and $56.01 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.
More about Knowledge Engineer jobs

What are the most commonly searched types of Knowledge Engineer jobs in Maryland?

The most popular types of Knowledge Engineer jobs in Maryland are:

What are popular job titles related to Knowledge Engineer jobs in Maryland?

For Knowledge Engineer jobs in Maryland, the most frequently searched job titles are:

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

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

What are popular job titles related to Knowledge Engineer jobs in MD?

For Knowledge Engineer jobs in MD, the most frequently searched job titles are:

Knowledge Engineer jobs near you
Infographic showing various Knowledge Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $96,109 per year, or $46.2 per hour.

Senior Knowledge Manager (Requirement Engineer) - USCYBERCOM J2

CELESTAR

Fort George G Meade, MD • On-site

$120K - $163K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Celestar Corporation is seeking aSenior Knowledge Manager (Requirement Engineer) to support USCYBERCOM J2 The primary place of performance will be in the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: September/October 2026
ANTICIPATED START: September/October 2026
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION: National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current Poly (within 5 years)
About Us:
Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities include, but are not limited to:
  • Assists aligning processes and technology to enable information sharing by analysts and organizations for analytic production. Uses centralized and peripheral databases, content management, records management systems and shapes workflow and processes. Compiles reports on performance and usage metrics and future requirements for existing knowledge management capabilities including, but not limited to, search, discovery, storage and retrieval of data and formal production and tasking. Disseminates intelligence products across separate networks and portals.
  • Applies requirement management methodologies and best practices to assist in developing or reengineering processes in order to better align them with organization mission needs and priorities.
  • Acts as the conduit between a variety of J2 customers and the IT/KM Requirements Analyst to ensure KM requirements are incorporated into the overall requirement management cycle.
  • Identifies organization customers and suppliers; identifying key processes and documenting as needed; designing, documenting and assessing new processes and all related DoD and Intelligence Community policies; and planning for new processes to include related changes in technology.
  • Produces Operating Instructions (Ols) for Command wide programs and initiatives as assigned by the Government.

Required qualifications/skills (Must Be Reflected on Your Resume):
• A minimum of 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years, and a master's degree.
-OR-
• A minimum of 17 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years, and a bachelor's degree
• Demonstrates in-depth knowledge and understanding of the labor category activities required to meet mission requirements.
• Demonstrates ability to work independently and with minimal oversight.
• Active TS/SCI with a Current Poly (within 5 years)
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.

Apply