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Knowledge Engineer Jobs in Seattle, WA (NOW HIRING)

Programming knowledge - Java/Python * Scripting Knowledge - Arm Templates, Ansible * Any RDBMS/SQL knowledge Roles & Responsibilities * Troubleshooting skills/ability * Setting up Idp and SP ...

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Electrical Engineer

Seattle, WA · On-site

$136K - $165K/yr

Wilson Engineering is seeking an Electrical and/or Controls System Engineer to join our team. We ... Knowledge of AC power systems design. Motor control circuits, power distribution, load calculations ...

Mechanical Engineer I

Renton, WA · On-site

$75K - $85K/yr

Must possess knowledge of engineering principles used in stress analysis, finite element modeling (FEM), 3D-computer modeling, and other analytical substantiation techniques. * Must possess extensive ...

Mechanical Engineer I

Renton, WA · On-site

$75K - $85K/yr

Must possess knowledge of engineering principles used in stress analysis, finite element modeling (FEM), 3D-computer modeling, and other analytical substantiation techniques. * Must possess extensive ...

Senior Mechanical Engineer

Seattle, WA

$118K - $157K/yr

... knowledge of design techniques and principals to mentor and train other designers and engineers ... involved in the production of plans, sections diagrams, equipment schedules, and drawings. Organize ...

Senior Mechanical Engineer

Tacoma, WA

$112K - $148K/yr

... knowledge of design techniques and principals to mentor and train other designers and engineers ... involved in the production of plans, sections diagrams, equipment schedules, and drawings. Organize ...

Senior Mechanical Engineer

Tacoma, WA · On-site

$112K - $148K/yr

... knowledge of design techniques and principals to mentor and train other designers and engineers ... involved in the production of plans, sections diagrams, equipment schedules, and drawings. • ...

SRE Engineer

Redmond, WA · On-site

$63.75 - $84.75/hr

Knowledge of SRE principles and monitoring metrics * Hands-on experience with GitHub CLI, Repos, Azure DevOps * Basic C# knowledge

Senior Dam Engineer

Seattle, WA · On-site

$118K - $163K/yr

Experience and knowledge of applicable state and federal dam safety design methodologies, policies ... Master's degree in Geotechnical Engineering or engineering Geology * Experience in construction ...

Senior Engineer

Pacific, WA · On-site

$105K - $143K/yr

Knowledge, Skills, Abilities, and Speciai Requirements * Knowledge of current principles, practices, methods and techniques of civil engineering, transportation engineering, natural resource ...

Showing results 41-60

Knowledge Engineer information

See Seattle, WA salary details

$25

$54

$83

How much do knowledge engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for knowledge engineer in Seattle, WA is $54.39, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $65.91 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.
Infographic showing various Knowledge Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $113,136 per year, or $54.4 per hour.

Ping security Analyst

Seattle, WA • On-site

Contractor

Re-posted 2 days ago


Job description

Location: Seattle WA 98108

Duration: 6 months (can extend)

 ONLY OPEN TO W2 EMPLOYEES

NOT OPEN TO 1099 OR C2C

Seattle is highly preferred

Open to 100% on-site: Dallas/ Plano 75024 or St. Louis 63110

100% on-site

Role: Ping security Analyst Ping security Analyst

Must Have Skills:

• PingFederate, PingAccess, PingOne SSO and PingDirectory • Single-SignOn(SSO) implementation • Open protocols like SAML, OAuth and OIDC • Control, monitor, and audit privileged access to systems and applications • Develop metrics, alerts, integrate monitoring solutions, and dashboard • Azure cloud and DevOps knowledge • Programming knowledge – Java/Python • Scripting Knowledge – Arm Templates, Ansible • Any RDBMS/SQL knowledge

Roles & Responsibilities

• Troubleshooting skills/ability

• Setting up Idp and SP connections, Policies, Selectors, Adapters and contract mapping in PingFederate • Access Token Management, Access Token Mapping, OIDC polices in PingFederate • Creating Applications, Rules, Rulesets, coarse grain authorization etc in PingAccess • Onboarding Applications into PingAccess and PingFederate • Working on ServiceNow tickets • Application Troubleshooting and ServiceNow response • 24x7x365 on-call support rotation (PagerDuty) • Renewal of Certificates • Monitor IAM Key Performance Indicators (KPIs) • Troubleshooting skills/ability, 24x7x365 on-call support rotation (PagerDuty)

Skills: Digital : Python~Oracle Identity Management 10g- Direcory Services(OID| OVD| SSO) Experience Required: 8-10