ZipRecruiter

Log In

1

Statistical Process Control Engineer Jobs in Spokane, WA

WEMCO, Inc.

Control Systems Engineer

Spokane, WA · On-site

Work with customers to develop and qualify process changes and provide technical services * Oversee ... Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications

BlackDiamond

Technology Transfer

Spokane, WA · On-site

... the process engineers to be doing tech transfers with incoming clients. The project will focus on technical turnover with data surrounding products, authoring process control, transfer plans and ...

New

next page

Showing results 1-20

All JobsStatistical Process Control Engineer JobsStatistical Process Control Engineer Jobs in Spokane, WA

Statistical Process Control Engineer information

See Spokane, WA salary details

$53.1K

$99.9K

$148.6K

How much do statistical process control engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for statistical process control engineer in Spokane, WA is $99,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $117,800.00 per year, depending on experience, location, and employer.

What does a Statistical Process Control Engineer do?

A Statistical Process Control (SPC) Engineer is responsible for designing, implementing, and maintaining systems that monitor and control manufacturing processes using statistical methods. They analyze data to identify trends, reduce process variation, and improve product quality. SPC Engineers work closely with production teams to ensure processes remain stable, efficient, and in compliance with industry standards. Their role often involves training staff in SPC techniques and troubleshooting quality issues using data-driven approaches.

What are the key skills and qualifications needed to thrive as a Statistical Process Control Engineer, and why are they important?

To thrive as a Statistical Process Control Engineer, you need a solid background in statistics, process engineering, and quality management, often supported by a degree in engineering or a related field. Familiarity with SPC software (such as Minitab or JMP), Six Sigma methodologies, and quality system certifications like ASQ are typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications are vital to maintain product quality, optimize processes, and drive continuous improvement within manufacturing or production environments.

What is the difference between Statistical Process Control Engineer vs Quality Engineer?

AspectStatistical Process Control EngineerQuality Engineer
Primary FocusMonitoring and controlling manufacturing processes using statistical methodsEnsuring overall product quality through testing, inspection, and process improvements
CertificationsSix Sigma, Statistical Process Control (SPC) certificationsSix Sigma, Quality Management certifications (e.g., CQE)
Work EnvironmentManufacturing plants, process development labsQuality departments, production facilities
Industry UsageManufacturing, automotive, electronicsManufacturing, healthcare, aerospace

While both roles focus on improving product quality, the Statistical Process Control Engineer specializes in using statistical tools to monitor and control manufacturing processes, whereas the Quality Engineer oversees broader quality assurance activities, including testing and compliance. Understanding these differences helps in choosing the right career path or job search focus.

How does a Statistical Process Control Engineer typically collaborate with production and quality teams to drive process improvements?

A Statistical Process Control Engineer regularly works alongside both production and quality assurance teams to identify trends, troubleshoot issues, and implement data-driven improvements. They analyze real-time data from manufacturing processes, facilitate root cause analysis sessions, and communicate findings through reports or presentations. Collaboration often includes training team members on SPC tools and methodologies, as well as guiding them in using statistical techniques to monitor and control process variability. This cross-functional teamwork ensures that process adjustments are both technically sound and operationally practical, leading to sustained quality improvements.
What are popular job titles related to Statistical Process Control Engineer jobs in Spokane, WA? For Statistical Process Control Engineer jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Spokane, WA look for? The top searched job categories for Statistical Process Control Engineer jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Statistical Process Control Engineer jobs? Cities near Spokane, WA with the most Statistical Process Control Engineer job openings:
Statistical Process Control Engineer jobs near you
Infographic showing various Statistical Process Control Engineer job openings in Spokane, WA as of June 2026, with employment types broken down into 57% Full Time, 41% Part Time, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $99,857 per year, or $48 per hour.

Automation Research & Development Engineer

Kaiser Aluminium

Spokane, WA • On-site

$85K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for anAutomation & Development Engineer to join Kaiser Aluminum onsite in Spokane Washington!

We are seeking an engineer or scientist who solves real-world manufacturing problems by writing code, with a deep interest and knowledge about manufacturing process optimization and data analytics. The ideal candidate will have expertise in using modern technologies and data-driven methodologies to enhance manufacturing processes.

MustbeaU.S.person(identifiedasU.S.Citizen,U.S.PermanentResident(GreenCard),anyindividualwhoisgrantedstatusasa"protectedperson"under8U.S.C.1324b(a)(3).

Benefits

  • Salary range $85,000 to $135,000 commensurate with experience.
  • High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions).
  • 10 paid holidays per year.
  • Vacation (3 weeks starting out).
  • Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave).
  • 401K with matching company funds.
  • Quarterly bonus structure.
  • Tuition reimbursement.
  • A collaborative, team-oriented culture that values initiative and continuous improvement.
  • Opportunities to work on a wide range of projects, from low-level equipment/process control to high-level, plant-wide digital integration systems.
  • Hands-on work with Industry 4.0 tools such as IoT sensors, data analytics, machine learning, digital twins, and smart factory systems.
  • Dedicated time and resources to explore, test, and implement new solutions and technologies.
  • Training in Lean Manufacturing, Six Sigma, advanced manufacturing software/hardware, metrology, and more.
  • Mentorship, cross-functional team experiences, and exposure to leadership - technical or Management - for those looking to advance.

Ideal Candidate:

  • Proficient in process control, data analytics, and optimization using modern tools.
  • Experienced in design of equipment and processes to solve manufacturing challenges.
  • Has strong knowledge of advanced technologies, such as machine learning and simulation tools

What you will work on:

  • Leverage data analytics, process control, and cutting-edge technologies to improve and optimize manufacturing processes.
  • Develop and deploy software and systems supporting Industry 4.0 initiatives, including:
    • Data warehousing for advanced analytics.
    • Vertical & horizontal integration of manufacturing information and control systems.
    • Simulation and Digital Twins to model and optimize processes.
    • Advanced measurement systems for capturing and analyzing critical process variables.
    • Implement advanced technologies, such as:
      • Computer Vision
      • Machine Learning
      • Internet of Things (IoT)
  • Support new process and product R&D by developing control systems, data collection, visualization, and analysis tools.
  • Build and deploy software solutions to improve process visualization and control, with metrics such as Overall Equipment Effectiveness (OEE), Statistical Process Control (SPC), and Quality Compliance.
  • Drive continuous process and production improvements through control system enhancements.
  • Develop a strong technical understanding of aluminum casting, rolling, heat treatment, and related operations.
  • Provide expert technical support to teams in Metallurgy, Quality Control, Engineering, Maintenance, and Production.
  • Create and maintain web applications for internal use, improving process transparency and access to critical data.

Apply