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Statistical Process Control Engineer Jobs in Sacramento, CA

Manufacturing Process Engineer Woodland, CA | Full-Time | On-Site About the Role: We are seeking an ... Strong knowledge of process validation, IQ, OQ, PQ, DOE, statistical process control, and ...

... analytics, statistical process control, and automated data visualization tools. * Lead ... Bachelor's degree in Engineering (Biomedical, Mechanical, Materials, Chemical, or related ...

Principal Quality Engineer

Roseville, CA · On-site

$135K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analytics, statistical process control, and automated data visualization tools. * Lead high ... Bachelor's degree in Engineering (Biomedical, Mechanical, Materials, Chemical, or related ...

Principal Quality Engineer

Roseville, CA

$135K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analytics, statistical process control, and automated data visualization tools. * Lead ... Bachelor's degree in Engineering (Biomedical, Mechanical, Materials, Chemical, or related ...

Statistical analysis and process control Skills & Competencies * Strong analytical and problem-solving skills * Ability to translate simulation data into practical engineering solutions * Effective ...

Statistical analysis and process control Skills & Competencies * Strong analytical and problem-solving skills * Ability to translate simulation data into practical engineering solutions * Effective ...

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We are looking for engineers to join our team and contribute to the advancement of our technology ... statistical process control * Build and deploy automation and agentic AI tools to reduce manual ...

Data Engineer

Davis, CA

$85K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We are looking for engineers to join our team and contribute to the advancement of our technology ... statistical process control * Build and deploy automation and agentic AI tools to reduce manual ...

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We are looking for engineers to join our team and contribute to the advancement of our technology ... statistical process control * Build and deploy automation and agentic AI tools to reduce manual ...

... Statistical Process Control (SPC), process monitoring, and optimization solutions to improve quality, efficiency, and performance. Whether supporting manufacturing, operations, quality, engineering ...

Robotics Quality Engineer

Folsom, CA

$77K - $99K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Robotics Quality Engineer Location: Fremont, CA - Onsite We are seeking a Product Quality ... Implement statistical process control (SPC) and advanced data analytics (Cp, Cpk, Weibull, X-R) to ...

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Showing results 1-20

Statistical Process Control Engineer information

See Sacramento, CA salary details

$56K

$105.3K

$156.7K

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

As of Aug 17, 2026, the average yearly pay for statistical process control engineer in Sacramento, CA is $105,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $124,200.00 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?

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.

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 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.

What is statistical process control in engineering?

Statistical Process Control (SPC) is a method used by engineers, including those in quality and manufacturing roles, to monitor and control a process through statistical analysis. It involves collecting data from production processes, using control charts to detect variations, and ensuring consistent product quality by identifying and addressing issues early. SPC tools like Pareto charts and process capability analysis are commonly employed to maintain process stability and improve efficiency.

What are popular job titles related to Statistical Process Control Engineer jobs in Sacramento, CA?

For Statistical Process Control Engineer jobs in Sacramento, CA, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control Engineer jobs in Sacramento, CA look for?

The top searched job categories for Statistical Process Control Engineer jobs in Sacramento, CA are:

What cities near Sacramento, CA are hiring for Statistical Process Control Engineer jobs?

Cities near Sacramento, CA with the most Statistical Process Control Engineer job openings:

Infographic showing various Statistical Process Control Engineer job openings in Sacramento, CA as of June 2026, with employment types broken down into 3% As Needed, 80% Full Time, 11% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $105,308 per year, or $50.6 per hour.

Manufacturing Process Engineer

Talnt

Woodland, CA • On-site

$150K - $160K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Manufacturing Process Engineer

Woodland, CA | Full-Time | On-Site

About the Role:

We are seeking an experienced Manufacturing Process Engineer to support a growing medical device manufacturing operation specializing in silicone component manufacturing. This role is responsible for developing, validating, optimizing, and sustaining manufacturing processes that support high-quality production while ensuring regulatory compliance and operational efficiency.

The ideal candidate has extensive experience with silicone injection molding, along with a strong background in process validation, medical device manufacturing, and continuous improvement. This position partners closely with Manufacturing, Quality, Engineering, and Operations to improve process capability, reduce variability, and successfully launch new products into production.

Silicone injection molding experience is required for this position.

Responsibilities:
  • Develop, optimize, and validate manufacturing processes for silicone injection molding and other silicone fabrication operations.
  • Lead process development activities from concept through production, including equipment qualification and process validation.
  • Create and execute validation protocols including IQ, OQ, PQ, process challenges, and Design of Experiments (DOE) to establish robust manufacturing processes.
  • Monitor critical process parameters (CPPs) and critical quality attributes (CQAs) to maintain process control and product quality.
  • Troubleshoot molding processes and manufacturing issues to improve yield, reduce scrap, and maximize equipment utilization.
  • Develop and document manufacturing processes, work instructions, SOPs, routers, Bills of Materials (BOMs), and manufacturing documentation through the Quality Management System.
  • Design and implement process improvements that increase manufacturing efficiency, improve product quality, and reduce production costs.
  • Collaborate with Quality Engineering on deviation investigations, root cause analysis, CAPA activities, and validation projects.
  • Support new product introductions by developing manufacturing processes, fixtures, tooling, and assembly methods.
  • Partner with Production to ensure manufacturing processes consistently meet production schedules and customer requirements.
  • Work with tooling vendors, equipment suppliers, and internal engineering teams to implement new equipment and manufacturing technologies.
  • Support equipment qualifications, process transfers, and manufacturing scale-up activities.
  • Train manufacturing personnel on new processes, equipment, and standardized work instructions.
  • Participate in Lean Manufacturing, Six Sigma, and continuous improvement initiatives to improve operational performance.
Qualifications:
  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Chemical Engineering, Biomedical Engineering, or a related technical discipline.
  • Minimum of 8 to 10 years of manufacturing process engineering experience in a production environment.
  • Required experience with silicone injection molding in a manufacturing environment.
  • Experience developing and validating manufacturing processes for silicone medical device components or similar precision molded products.
  • Strong knowledge of process validation, IQ, OQ, PQ, DOE, statistical process control, and manufacturing process qualification.
  • Experience supporting regulated manufacturing environments, preferably medical device manufacturing operating under FDA Quality System Regulations, cGMP, and ISO 13485.
  • Experience with process optimization, troubleshooting, root cause analysis, and corrective actions.
  • Proficiency with SolidWorks, AutoCAD, or similar CAD software.
  • Strong understanding of tooling, fixtures, automation, and manufacturing equipment.
  • Excellent analytical, communication, and project management skills.
Desired Qualifications:
  • Experience with additional silicone manufacturing processes including extrusion, calendaring, compression molding, liquid silicone rubber (LSR) molding, assembly, or secondary manufacturing operations.
  • Previous validation engineering experience within the medical device industry.
  • Experience leading new product introductions and manufacturing transfers.
  • Lean Manufacturing or Six Sigma certification.
  • Experience developing custom fixtures and production tooling.
  • Knowledge of statistical analysis software such as Minitab.
  • Experience mentoring junior engineers and manufacturing personnel.