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Mes Engineer Jobs in Bothell, WA (NOW HIRING)

Amazon

Sr System Development Engineer, Amazon Leo

Redmond, WA · On-site

$117K - $160K/yr

... MES (Manufacturing Execution System), enabling real-time data flow between the shop floor and ... Partner cross-functionally with controls engineers to ensure equipment-level connectivity and PLC ...

Ampcus Inc

Systems Engineer IV

Redmond, WA · On-site

... Engineers (MEs) on test station issues. • Maintain and optimize test station network infrastructure. • Debug communication issues between test equipment and control systems. • Support ...

Sunrise Systems Inc

Be Seen First

CSV Engineer _26-04491

Bothell, WA · On-site

$73 - $75/hr

Job Title: CSV Engineer ID: 26-04491 Location: Bothell, WA Duration: 12 Months Position Type ... Familiarity with MES systems (i.e. Emerson Syncade), ERP systems (i.e. SAP or Oracle) and EBRs (i.e.

Creation

Manufacturing Engineer

Everett, WA · On-site

$80K - $103K/yr

A Manufacturing Engineer is a core role at Creation Technologies, focused on executing moderately ... Well versed in PLM and MES systems. * Ensures the translation of customer requirements to assembly ...

Creation Technologies LP

Manufacturing Engineer

Everett, WA · On-site

$80K - $103K/yr

A Manufacturing Engineer is a core role at Creation Technologies, focused on executing moderately ... Well versed in PLM and MES systems. * Ensures the translation of customer requirements to assembly ...

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Showing results 21-40

All JobsMes Engineer JobsMes Engineer Jobs in Bothell, WA

Mes Engineer information

See Bothell, WA salary details

$49.2K

$118.9K

$194K

How much do mes engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for mes engineer in Bothell, WA is $118,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $148,100.00 per year, depending on experience, location, and employer.

What does a MES engineer do?

A MES (Manufacturing Execution Systems) Engineer is responsible for designing, implementing, and maintaining MES solutions that optimize manufacturing operations. They bridge the gap between enterprise systems (such as ERP) and shop floor equipment to improve production efficiency, data collection, and process automation. MES Engineers work with various stakeholders to integrate software, troubleshoot issues, and ensure seamless data flow across manufacturing processes. Their role is critical in enhancing productivity, reducing downtime, and ensuring compliance with industry standards.

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

To thrive as a MES Engineer, you need a solid background in manufacturing processes, information systems, and a relevant degree in engineering or computer science. Familiarity with MES platforms like Siemens SIMATIC IT, Rockwell FactoryTalk, or Wonderware, as well as knowledge of automation, PLCs, and database management, is essential. Strong problem-solving skills, attention to detail, and effective communication are key soft skills for collaborating with cross-functional teams and troubleshooting system issues. These competencies ensure MES Engineers can effectively bridge the gap between IT and manufacturing, optimize production workflows, and maintain compliant operations.

What are the common responsibilities of a MES engineer on a typical workday?

MES Engineers are usually responsible for configuring, deploying, and maintaining Manufacturing Execution Systems, as well as troubleshooting issues that arise on the shop floor. A typical day may involve gathering user requirements, integrating MES solutions with ERP or automation systems, performing software updates, and supporting production teams with system-related concerns. Collaboration with quality assurance, IT, and manufacturing staff is frequent to ensure seamless operations and compliance with industry standards. This role demands both hands-on technical tasks and ongoing communication with multiple stakeholders to achieve optimal production efficiency.

How to become a MES engineer?

To become a Manufacturing Execution System (MES) engineer, you typically need a bachelor's degree in engineering, computer science, or a related field. Gaining experience with industrial automation, manufacturing processes, and MES software such as Siemens, Rockwell, or Wonderware is essential, along with developing skills in programming, systems integration, and data analysis. Certifications in industrial automation or specific MES platforms can enhance job prospects.

What are popular job titles related to Mes Engineer jobs in Bothell, WA?

For Mes Engineer jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Mes Engineer jobs in Bothell, WA look for?

The top searched job categories for Mes Engineer jobs in Bothell, WA are:

Mes Engineer jobs near you
Infographic showing various Mes Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $118,928 per year, or $57.2 per hour.

Staff Engineer, Digital Factory Lead (R5265)

Seattle, WA • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$150K - $230K/yr

Full-time

Posted 12 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Founded in 2015, Shield AI is building intelligent, autonomous aircraft that protect service members and civilians around the world. As we scale production, we're building more than a factory-we're building an AI-native manufacturing ecosystem that will define the future of aerospace production. 

Build the AI Factory of the Future 

We're looking for a Digital Factory Lead to help create one of the world's most advanced manufacturing environments. 

This role sits at the intersection of manufacturing, software, data, automation, and artificial intelligence. You will define and deploy the digital systems, connected infrastructure, and AI-enabled tools that power aircraft production-transforming factory operations through technology. 

From implementing our Manufacturing Execution System (MES) to deploying AI-powered manufacturing solutions, you'll help define how autonomous aircraft are built for years to come. 

 
What you'll do:
AI-Enabled Manufacturing 
  • Develop and execute Shield AI's AI Manufacturing roadmap. 
  • Identify opportunities to leverage AI across production, quality, maintenance, supply chain, training, and operational decision-making. 
  • Deploy AI-powered solutions including intelligent work instructions, manufacturing copilots, predictive maintenance, automated root-cause analysis, and advanced analytics. 
  • Partner with software and data teams to turn operational challenges into scalable technical solutions. 
  • Capture and digitize manufacturing knowledge to improve workforce productivity, training, and consistency. 
Digital Factory Systems 
  • Lead the deployment, configuration, and continuous improvement of Shield AI's Manufacturing Execution System (MES). 
  • Establish the digital thread connecting engineering, production, quality, maintenance, and supply chain operations. 
  • Drive integration between MES, ERP, PLM, QMS, factory automation systems, and manufacturing equipment. 
Connected Factory Infrastructure 
  • Define and deploy the digital architecture supporting production equipment, tooling, test systems, PLCs, sensors, and industrial controls. 
  • Establish factory-wide connectivity and real-time operational visibility. 
  • Develop the data ecosystem required to support AI, automation, analytics, and future autonomous manufacturing capabilities. 
Factory Transformation 
  • Develop and execute Shield AI's Digital Factory roadmap. 
  • Lead automation initiatives across manufacturing, inspection, testing, and material flow. 
  • Evaluate emerging technologies including machine vision, digital twins, autonomous inspection, and next-generation manufacturing systems. 
  • Help define what aircraft manufacturing should look like over the next decade. 
Required qualifications:
  • Bachelor's degree in Engineering, Manufacturing Engineering, Industrial Engineering, Computer Science, Automation, or a related technical discipline. 
  • 8+ years of experience in digital manufacturing, manufacturing systems, industrial automation, software-enabled operations, or Industry 4.0 environments. 
  • Experience implementing manufacturing software systems such as MES, QMS, maintenance, analytics, or automation platforms. 
  • Strong understanding of manufacturing operations, industrial controls, factory automation, and manufacturing data systems. 
  • Experience working directly with software developers, system integrators, automation engineers, or data teams to deliver production-ready solutions. 
  • Demonstrated ability to lead complex cross-functional initiatives from concept through deployment. 
Preferred qualifications:
  • Aerospace, defense, automotive, robotics, electronics, or other high-complexity manufacturing experience. 
  • Experience supporting greenfield factory launches or large-scale factory transformations. 
  • Experience applying AI, machine learning, advanced analytics, or digital twin technologies in an operational environment. 
  • Knowledge of AS9100, or other highly controlled manufacturing systems. 
Why Shield AI?

Most companies are still trying to digitize their factories. 

At Shield AI, we're building an AI-native manufacturing environment from the ground up. 

The systems, technologies, and AI-enabled capabilities you deploy will directly influence how autonomous aircraft are manufactured for years to come, enabling Shield AI to scale production while maintaining the quality, speed, and operational excellence required for mission-critical aerospace systems. 

$150,000 - $230,000 a year
* Compensation for this role is based on the position's work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. 
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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