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Statistical Process Control Engineer Jobs in North Carolina

As a Process Engineer, you will contribute to the full lifecycle of a massive 1 million square foot ... statistical process control (SPC) to optimize high-precision manufacturing processes. * Expert ...

What You'll Do: As a Process Engineer you will directly impact our innovation of the Specialty ... Experience with statistical process control and statistical techniques. * Experience with DeltaV ...

What You'll Do: As a Process Engineer you will directly impact our innovation of the Specialty ... Experience with statistical process control and statistical techniques. * Experience with DeltaV ...

Senior Process Engineer

Holly Springs, NC ยท On-site

$120 - $150/hr

Senior Process Engineer * Provide system ownership for biopharmaceutical process equipment and ... Proficiency in dataโ€‘driven techniques such as Root Cause Analysis, Statistical Process Control ...

Process Engineer

Newton, NC ยท On-site

$84K - $116K/yr

Experience programming PLCs in a manufacturing environment ... Experience with statistical process control fundamentals * Applies systematic, data-driven problem ...

Process Engineer

Newton, NC ยท On-site

$84K - $116K/yr

Experience programming PLCs in a manufacturing environment ... Experience with statistical process control fundamentals * Applies systematic, data-driven problem ...

Process Engineer

Newton, NC ยท On-site

$84K - $116K/yr

Experience programming PLCs in a manufacturing environment ... Experience with statistical process control fundamentals * Applies systematic, data-driven problem ...

What You'll Do: As a Process Engineer you will directly impact our innovation of the Specialty ... Experience with statistical process control and statistical techniques. * Experience with DeltaV ...

Establish, monitor, and maintain statistical process control (SPC) limits for key products and ... S., or PHD in Metallurgical Engineering or Materials Science & Engineering or related field

Establish, monitor, and maintain statistical process control (SPC) limits for key products and ... S., or PHD in Metallurgical Engineering or Materials Science & Engineering or related field

Establish, monitor, and maintain statistical process control (SPC) limits for key products and ... S., or PHD in Metallurgical Engineering or Materials Science & Engineering or related field

Control Engineer 2

Charlotte, NC ยท On-site

$81K - $105K/yr

They're technical experts in areas such as advanced process control, instrumentation, distributed control systems, PLCs, and SCADA systems. Control engineers use these skills to design and implement ...

Control Engineer 2

Fayetteville, NC ยท On-site

$76K - $99K/yr

They're technical experts in areas such as advanced process control, instrumentation, distributed control systems, PLCs, and SCADA systems. Control engineers use these skills to design and implement ...

Process Engineer

Newton, NC ยท On-site

$60 - $65/hr

... engineering work at meaningful scale, with the stability and resources of an established industry ... Statistical process analysis, including capability studies, control charts, and designed ...

Showing results 41-60

Statistical Process Control Engineer information

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 of data. It involves using control charts and data collection to detect variations, ensuring processes operate consistently and within specified limits. SPC helps improve product quality and reduce defects by identifying and addressing process issues early.

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.

How much do statistical process control engineers make in the US?

Statistical Process Control (SPC) engineers in the US typically earn between $70,000 and $110,000 annually, with the median salary around $85,000. Salaries vary based on experience, industry, location, and certifications such as Six Sigma or quality management training.

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.

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.
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Infographic showing various Statistical Process Control Engineer job openings in North Carolina as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Process Engineer

Vulcan Elements

Benson, NC โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence, and Transparency.

As a Process Engineer, you will contribute to the full lifecycle of a massive 1 million square foot manufacturing facility expansion—from design and equipment specification through installation, commissioning, production startup, and scale-up to full capacity. You will be responsible for a process step, translating pilot-line processes into full-scale, stable, and repeatable production systems. This is a high-impact, high-ownership role requiring deep technical expertise and leadership.

Core Expectations & Responsibilities

  • Run engineering trials to determine optimal equipment recipes and operating windows. Own the parameter definition required to transition processes from development to stable, high-volume production.
  • Identify the best ways to operate manufacturing equipment to maximize yield, improve throughput, and minimize scrap. Monitor OEE results and station cycle times to drive continuous improvement.
  • Lead Gage R&R studies and capability studies (Cpk analysis) to ensure equipment and measurement systems are capable of meeting tight product specifications.
  • Lead and own the PFMEA (Process Failure Mode and Effects Analysis) for your designated process steps to proactively identify and mitigate product and process risks.
  • Provide hands-on support during production startup, helping operators stabilize processes and eliminating early bottlenecks.
  • Dedicate time to reviewing physical product quality at the station level, mapping defects back to root causes in the machinery or process settings.
  • Ensure compliance with safety, environmental, and quality standards across all process activities.
  • This position will require some interaction and travel to support equipment development reviews and Factory Acceptance Tests (FATs) as needed (estimated at <5% travel).

You will also be responsible for developing, reviewing, or managing the following deliverables:

  • Risk Assessments, Ergonomic Assessments, and PFMEA.
  • Process Flow Charts, Bill of Process (BOP), Station Cycle Times, Process Sheets, and Process Checklists.
  • Quality Control Plans, R&R (Gage Repeatability and Reproducibility) Studies, and Quality Checklists.
  • Standard Operating Procedures (SOPs), Work Instructions, Calibration Procedures, and Process Monitoring plans.
  • Input on HMI Controls logic, MES Transactions Lists, and process parameters tracking.

Qualifications

  • Bachelor's degree in Chemical Engineering, Materials Science, Industrial Engineering, Mechanical Engineering, or a related technical discipline with 3+ years of experience.
  • Deep expertise running DoEs (Design of Experiments), Gage R&R studies, and statistical process control (SPC) to optimize high-precision manufacturing processes.
  • Expert-level experience authoring and developing standard manufacturing documents (PFMEA, Control Plans, Work Instructions, and Process Flows).
  • Proven track record of designing and running on-floor production trials to dial in complex equipment parameters without causing excessive downtime.

Desired Skills

  • Experience specifically in heavy industrial manufacturing, metallurgy, magnetics, or chemical processing.
  • Six Sigma Green Belt or Black Belt certification.
  • Familiarity with MES (Manufacturing Execution Systems) implementation and automated transaction mapping.
  • Experience in highly regulated industries such as Defense (DoD), Aerospace (AS9100), or Automotive (IATF 16949).

Physical and Environmental Requirements

The position requires regular presence on the production floor and the ability to navigate all areas of the facility. Candidates must be able to climb stairs, stand and walk for extended periods, and work in environments that may be hot, humid, or noisy. The role also requires the use of personal protective equipment, including respirators, and adherence to all applicable safety policies, procedures, and regulatory requirements. Employees must be able to complete required fit testing, wear appropriate PPE for the duration of assigned tasks, and respond safely to changing conditions within the production environment.