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Statistical Process Control Engineer Jobs in Rochester, NY

... and Statistical Process Control. Experienced in the use of Mini tab and/or advanced Excel ... Experience: 2-5 years' experience in engineering and manufacturing support. Knowledge in process ...

Process Engineer

Scottsville, NY ยท On-site

$75K - $120K/yr

... Statistical Process Control. โ€ข Experienced in the use of Mini tab and/or advanced Excel ... Experience: โ€ข 2-5 years' experience in engineering and manufacturing support. โ€ข Knowledge in ...

Bachelor's degree in engineering or physics * 1+ years of experience with semiconductor fabrication processes or statistical process control (internship, extracurricular, or academic experience is ...

Quality Inspector

Clifton Springs, NY ยท On-site

$18 - $30/hr

Performs Statistical Process Control (SPC) analysis. * Enter inspection results into a variety of ... Work and communicate with Quality, Supplier Quality, Engineering, and Manufacturing in a clear ...

Bachelor's degree in engineering or physics * 1+ years of experience with semiconductor fabrication processes or statistical process control (internship, extracurricular, or academic experience is ...

Process Technician Diffusion

Hopewell, NY ยท On-site

$27.60 - $48.12/hr

Review Statistical Process Control charts for process quality and react to Out of Control conditions, including defect troubleshooting * Perform visual inspections (quality check) * Recover from ...

Control Engineer

Macedon, NY ยท On-site

$85K - $110K/yr

Engineering Location Type: On-Site Pay Min: 120,000.00 USD Pay Max: 130,000.00 USD Job Location ... process improvements. * Troubleshoot and eliminate control systems issues and handle controls ...

Bachelor's degree in engineering or physics * 1+ years of experience with semiconductor fabrication processes or statistical process control (internship, extracurricular, or academic experience is ...

Diffusion Shift Module Engineer

Hopewell, NY ยท On-site

$101K - $172K/yr

Engineering coverage every evening and on weekends. Three consecutive days off each week ... Experience with statistical process control (SPC), data analysis, and structured problem solving.

Shift Metrology Module Engineer

Hopewell, NY ยท On-site

$101K - $172K/yr

Engineer A: Sunday - Wednesday, 2:00 PM - 12:00 AM * Engineer B: Wednesday - Saturday, 2:00 PM - 12 ... Experience with statistical process control (SPC), data analysis, and structured problem solving.

Quality Engineer Optical System

Fairport, NY ยท On-site

$68K - $88K/yr

We are seeking a Optical System Quality Engineer to partner closely with Systems Engineering and ... Strong experience with Statistical Process Control (SPC) and process capability analysis.

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Statistical Process Control Engineer information

See Rochester, NY salary details

$51.8K

$97.4K

$145K

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

As of Aug 25, 2026, the average yearly pay for statistical process control engineer in Rochester, NY is $97,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $114,900.00 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 Rochester, NY?

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

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

The top searched job categories for Statistical Process Control Engineer jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Statistical Process Control Engineer jobs?

Cities near Rochester, NY with the most Statistical Process Control Engineer job openings:

Infographic showing various Statistical Process Control Engineer job openings in Rochester, NY as of June 2026, with employment types broken down into 60% Full Time, 36% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,442 per year, or $46.8 per hour.

Quality Engineer

Rochester, NY โ€ข On-site

$70K - $88K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Purpose:

Detail-oriented Quality Control Engineer to support our high-volume precision manufacturing operations as we transition our quality management system from ISO 9001 to IATF 16949. The Quality Control Engineer will maintain quality controls for high-speed screw machine operations while actively helping to upgrade our processes, documentation, and risk management strategies to meet rigorous automotive industry standards.

Typical responsibilities:

· Main contact for all customer requests, issues, rejects, PPAPs

· New program roll out/ documentation requirements

· Customer data requests

· Responsible for supplier quality and reporting/auditing/ requirements

· Receiving inspection

· All shop calibration requirements oversight

· Customer score card data collection/ performance summary

· Internal and supplier Auditor

· Maintain Customer Specific Requirements Library and communicate changes

· Responsible for all interfaces with the manufacturing floor.

· 1st piece Inspection

· Floor FIQC and 100% gaging

· CMM operation (excluding programming)

· SPC

· Quality Dept Inspection Staff – direction/ training/ time-attendance as needed

· Internal Auditor

· Robotic inspection system support

Physical Requirements:

· Bending, Lifting, Sitting, Standing, Walking

· Hazardous material exposure

· Hearing protection required as needed

· Safety Glasses required as needed

· Steel toe boots required

Required Qualification

Education:

AAS or Bachelors in engineering, technology, or a related technical discipline.

Experience:

1 to 3 years of quality control or quality engineering experience within an ISO 9001 certified environment. Automotive Industry Experience is required.

Mindset:

Strong desire to learn automotive quality systems, customer-specific requirements, and rigorous compliance standards. Team Player attitude.

Technical Skills:

Proficiency in reading blueprints, GD&T, and mechanical precision measurement tools is required.

Preferred Skills

Exposure to or basic training in IATF 16949 or AIAG Core Tools (APQP,PPAP,FMEA,MSA,SPC)

Familiarity with the unique quality challenges of high-volume turned parts

You should be proficient in:

  • GD&T
  • Statistical process control (SPC)
  • Advanced Product Quality Planning (APQP)
  • PPAP Process Experience
  • Blueprint Reading