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Knowledge Engineering Jobs in Springfield, MO (NOW HIRING)

Competencies Knowledge * Expertise in electroplating chemistry, process engineering, and quality systems. * Working knowledge of AS9100 standards, SPC tools, and root cause analysis. * Understanding ...

Civil Project Engineer

Ozark, MO

$75K - $101K/yr

Bachelor's degree in Civil Engineering or related discipline * 3+years of relevant experience * EIT (Engineer-in-Training) certification * Proficiency in AutoCAD Civil 3D; knowledge of other software ...

Civil Project Engineer

Springfield, MO · On-site

$77K - $103K/yr

Bachelor's degree in Civil Engineering or related discipline * 3+years of relevant experience * EIT (Engineer-in-Training) certification * Proficiency in AutoCAD Civil 3D; knowledge of other software ...

Civil Project Engineer

Ozark, MO · On-site

$75K - $101K/yr

Bachelor's degree in Civil Engineering or related discipline * 3+years of relevant experience * EIT (Engineer-in-Training) certification * Proficiency in AutoCAD Civil 3D; knowledge of other software ...

WCS Developer Job Location: Spring field, MO Job Type: Contract * Design develop and maintain ... Indepth knowledge of WCS subsystems Catalog Order Member Promotions Search * Experience with ...

Welding Engineer

Springfield, MO · On-site

$32.50 - $44.75/hr

... engineering drawings, GD&T, and weld symbols. • Hands-on welding experience required. MIG and Pulse welding preferred. • Strong knowledge of welding standards, particularly AWS D1.1 from the ...

Strong ability to read and interpret engineering drawings, GD&T, and weld symbols. Hands-on welding experience required. MIG and Pulse welding preferred. Strong knowledge of welding standards ...

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Knowledge Engineering information

See Springfield, MO salary details

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How much do knowledge engineering jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for knowledge engineering in Springfield, MO is $28.70, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $34.57 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 information, create ontologies, and use tools like knowledge bases and reasoning algorithms to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming 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 engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that contribute to total compensation.

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.

What engineers make 200,000 a year?

Senior knowledge engineers, especially those with expertise in artificial intelligence, machine learning, and data science, can earn $200,000 or more annually. High salaries are often associated with extensive experience, advanced certifications, and working in industries like technology, finance, or consulting, typically in roles involving complex problem-solving and specialized tools.

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 require proficiency with knowledge representation, ontologies, and tools like Protégé or OWL.

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 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 Springfield, MO? For Knowledge Engineering jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Springfield, MO look for? The top searched job categories for Knowledge Engineering jobs in Springfield, MO are:

Manufacturing Engineer

Genie Reconditioning LLC

Springfield, MO • On-site

$68K - $88K/yr

Full-time

Re-posted 6 days ago


Job description


Position Summary

The Manufacturing Engineer supports Genie Reconditioning's manufacturing and reconditioning operations through engineering analysis, process development, tooling coordination, workstation design, and production floor support. This position exercises independent judgment in developing and improving manufacturing processes and in resolving production and assembly issues.

This role coordinates, guides, trains, and prioritizes work for Manufacturing Engineering Technicians. It supports production efficiency, workstation setup, tooling implementation, equipment integration, and production flow optimization across the disassembly, preparation and paint, and assembly areas.

Essential Job Functions

  • Coordinate manufacturing engineering activities supporting daily production operations.
  • Guide, train, and prioritize the work of manufacturing engineering technicians.
  • Develop, document, and improve manufacturing processes and methods.
  • Support workstation layout, line balancing, and production flow optimization.
  • Analyze tooling, equipment, and process requirements and recommend solutions.
  • Coordinate the procurement and implementation of tooling and production equipment.
  • Lead and support lean manufacturing and waste-reduction initiatives.
  • Improve ergonomics, safety, and manufacturing efficiency at the workstation level.
  • Review engineering drawings and manufacturing documentation for production readiness.
  • Assist with troubleshooting manufacturing and assembly issues and identifying root cause.
  • Coordinate with operations, quality, supply chain, and maintenance on process matters.
  • Support equipment validation and process verification activities.
  • Maintain manufacturing documentation and engineering records.
  • Lead the team's participation in open-book management owning the numbers for the engineering area, teaching technicians to read them, and connecting daily engineering decisions to company financial results.

Supervisory and Coordination Scope

Sets technical direction, trains, and prioritizes work for assigned manufacturing engineering technicians, exercising independent judgment over how engineering work is sequenced and executed. The role owns its processes and methods but does not hold independent authority to hire, terminate, or impose formal discipline; those actions are taken with the Engineering Manager and Human Resources.

Minimum Qualifications

  • Bachelor's degree in manufacturing, industrial, or mechanical engineering or a related technical field.
  • Three or more years of manufacturing or industrial engineering experience in a production environment.
  • Demonstrated ability to develop and improve manufacturing processes using independent judgment.
  • Proficiency reading engineering drawings, schematics, and work instructions.

Preferred Qualifications

  • Experience in heavy industrial equipment, reconditioning, or MEWP manufacturing.
  • Experience with ERP/MRP systems (Infor CloudSuite Industrial / SyteLine preferred).
  • Lean Six Sigma certification or formal continuous improvement training.
  • Experience coordinating or mentoring technician-level staff.

Knowledge, Skills, and Abilities

  • Strong analytical and problem-solving ability, applying independent judgment to evaluate process options and select the best approach without close supervision.
  • Technical discretion to interpret engineering drawings, schematics, and manufacturing documentation and translate them into production-ready methods.
  • Working knowledge of Mobile Elevating Work Platforms (MEWP) and the Genie S-65, S-85, and S-125 product lines, or the capacity to develop it rapidly.
  • Command of lean manufacturing, continuous improvement, and 5S concepts and how to deploy them on the floor.
  • Clear written and verbal communication and the ability to influence across operations, quality, supply chain, and maintenance.
  • Ownership of competing production priorities and the project coordination skills to keep them moving.

Physical Requirements

The physical demands described are representative of those that must be met to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform these functions, consistent with the ADA and ADAAA.

  • Move regularly throughout production, warehouse, and engineering areas to observe processes and support the floor.
  • Occasionally lift, carry, push, or pull up to 50 pounds, using team-lift methods for heavier loads.
  • Bend, stoop, kneel, reach, and use hands to handle tools, fixtures, and equipment.
  • Close and distance vision with depth perception sufficient to read drawings, gauges, and screens.
  • Wear required personal protective equipment (PPE) in designated areas.

Work Environment

This role splits time between an office setting and the production and reconditioning floor. Floor exposure includes noise, dust, fumes, moving equipment, and the temperature swings common to an industrial facility.

Schedule is generally standard, with extended hours as needed to meet project milestones, production demand, and improvement work.

Acknowledgement

This position may require working overtime, including extended hours and additional days, based on production and project demands.

Employment is contingent upon successful completion of a background check and a pre-employment drug screen.

Employees may perform other related duties as assigned to meet the ongoing needs of the organization.



Monday through Friday, 7:30 a.m. to 3:30 p.m.
Occasional extended hours may be required based on business needs, production demands, or operational requirements.
40 hours per week (full-time).
Actual hours worked may exceed 40 in a workweek depending on operational needs.