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Knowledge Engineering Jobs in Seattle, WA (NOW HIRING)

Senior Dam Engineer

Seattle, WA · On-site

$118K - $163K/yr

... Engineering Geologist and the ability to obtain reciprocity * Experience and knowledge of applicable state and federal dam safety design methodologies, policies, and regulations * Experience ...

Knowledge, Skills and Abilities Knowledge of and Skills in Engineering and construction terms and methods. Mathematical knowledge as applied to engineering computations. Understanding of principles ...

Pay: $22 - $30 an hour Engineering Technician Requirements: o At least 2 years of experience in production or manufacturing and knowledge of continuous improvement or lean manufacturing o Mechanical ...

Director of Engineering

Tacoma, WA · On-site

$120 - $145/hr

Working knowledge of AS9100 requirements related to tooling, supply chain, materials, product ... Oversee all engineering staffing, capacity planning, and performance metrics, including NPI ...

... knowledge of full product lifecycle management, from concept and development through production, sustainment, and endoflife MANUFACTURING & ENGINEERING EXPERTISE • Proficient in ERP/MRP systems ...

Engineering Manager

Gig Harbor, WA · On-site

$140K - $176K/yr

Incumbent will manage the system engineering and distribution design department whose functions ... KNOWLEDGE, SKILLS AND ABILITIES * Demonstrate advanced experience to effectively manage, train and ...

The Electrical Engineering Manager leads a team of electrical engineers developing complex ... Knowledge : Familiar with a variety of the field's concepts, practices, and procedures. * Skills ...

Showing results 41-60

Knowledge Engineering information

See Seattle, WA salary details

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How much do knowledge engineering jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for knowledge engineering in Seattle, WA is $35.90, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $43.22 per hour, depending on experience, location, and employer.

What does a knowledge engineer do?

A knowledge engineer designs, develops, and maintains systems that capture and organize knowledge for artificial intelligence and expert systems. They analyze domain data, create ontologies, and implement knowledge bases using tools like logic programming and semantic technologies. Strong analytical skills and understanding of data modeling are essential for this role.

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How does a knowledge engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions also require proficiency with tools like ontologies, semantic web technologies, and knowledge representation languages.

What are the key skills and qualifications needed to thrive as a knowledge engineer?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.

What are popular job titles related to Knowledge Engineering jobs in Seattle, WA?

For Knowledge Engineering jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Knowledge Engineering jobs in Seattle, WA look for?

The top searched job categories for Knowledge Engineering jobs in Seattle, WA are:

Infographic showing various Knowledge Engineering job openings in Seattle, WA 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 $74,682 per year, or $35.9 per hour.

Manager, Operations Engineering, Strategic Programs & Engineering

Amazon

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,086 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Our logistics teams are changing the way we interact with customers around the globe every single day and solving some of the biggest logistical challenges facing not just Amazon, but the entire industry. We are looking for Manager in Bellevue, Washington to join the team.
This leader will oversee a team of Operation Engineers who act as single liaison between Operations and Engineering owning (1) Sourcing problems: Filtering signals from DSP feedback and ops listening tools to identify and prioritize engineering programs (2) Centralizing reporting: Owning consolidated operational dashboards (e.g., Pulse Dashboard) that provide a single pane of glass across SP&E programs (3) Bridging the gap: Serving as the dedicated conduit that translates operational pain points into actionable engineering requirements, eliminating the current ad hoc handoff model.
Key job responsibilities
- Own the master lifecycle template and stage-gate criteria that govern how work moves from engineering through construction, commissioning, and launch
- Create and maintain a series of tools to filter signals, report out engineering solutions and
- Own the team's engineering program dashboard, providing real-time visibility into program health, risk, and milestones across the network
- Manage and develop a team of up to 6 engineers, setting goals, providing feedback, and owning career growth and performance
- Build strong relationships across Engineering, Planning, Operations, Material Handling, and Equipment teams
- Establish shared mechanisms and collaborate with partner teams to align on standards, processes, and solutions
- Facilitate cross-functional reviews to align on design and process decisions
- Lead engineering design standards, module audits, and root-cause deep dives, translating findings into actionable recommendations
A day in the life
You review the program dashboard for anything that flipped to at-risk, unblock an engineer on a stalled review, and join a stage-gate review with partner teams to align on launch readiness. You coach a report through a root-cause analysis, review a recommendation before it goes to leadership, and prep your weekly roll-up for the business review. The role balances people leadership, technical judgment, and cross-functional collaboration.
About the team
You review the program dashboard for anything that flipped to at-risk, unblock an engineer on a stalled review, and join a stage-gate review with partner teams to align on launch readiness. You coach a report through a root-cause analysis, review a recommendation before it goes to leadership, and prep your weekly roll-up for the business review. The role balances people leadership, technical judgment, and cross-functional collaboration.
BASIC QUALIFICATIONS
- 7+ years of manufacturing or manufacturing engineering experience
- Bachelor's degree
- Knowledge of Microsoft Office products and applications at an advanced level
- Experience prioritizing and managing multiple responsibilities
- Experience leading and managing a team
PREFERRED QUALIFICATIONS
- Knowledge of Lean Manufacturing & Continuous Improvement principles & techniques
- Experience in complex work environments, including (but not limited to robotics, automation, diagnostic and test equipment)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US