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Statistical Process Control Engineer Jobs in Nashville, TN

The NAWH Quality Engineer plays a key role in ensuring our water heater products meet or exceed ... Experience with ISO standards, PPAP, APQP, and statistical process control. * Six Sigma Black Belt.

Sr. Process Engineer

Springfield, TN · On-site

$98K - $127K/yr

Support APQP deliverables (Process Flow, PFMEA, Control Plan) * Maintain process documentation ... Lead process capability studies (Cp/Cpk), DOE activities, and statistical analysis to optimize ...

Sr. Process Engineer

Springfield, TN · On-site

$98K - $127K/yr

Support APQP deliverables (Process Flow, PFMEA, Control Plan) * Maintain process documentation ... Lead process capability studies (Cp/Cpk), DOE activities, and statistical analysis to optimize ...

Sr. Process Engineer

Springfield, TN

$98K - $127K/yr

Support APQP deliverables (Process Flow, PFMEA, Control Plan) * Maintain process documentation ... Lead process capability studies (Cp/Cpk), DOE activities, and statistical analysis to optimize ...

Batch Operator

Nashville, TN · On-site

$21.17 - $24.78/hr

Requires a High School Diploma, GED, or equivalent experience with knowledge of furnace equipment operations and basic statistical process control. * Six months experience in a similar or related ...

Batch Operator

Nashville, TN · On-site

$21.17 - $24.78/hr

Requires a High School Diploma, GED, or equivalent experience with knowledge of furnace equipment operations and basic statistical process control. * Six months experience in a similar or related ...

Showing results 41-60

Statistical Process Control Engineer information

See Nashville, TN salary details

$50.7K

$95.4K

$142K

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

As of Aug 8, 2026, the average yearly pay for statistical process control engineer in Nashville, TN is $95,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $112,500.00 per year, depending on experience, location, and employer.

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.
What are popular job titles related to Statistical Process Control Engineer jobs in Nashville, TN? For Statistical Process Control Engineer jobs in Nashville, TN, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Nashville, TN look for? The top searched job categories for Statistical Process Control Engineer jobs in Nashville, TN are:
What cities near Nashville, TN are hiring for Statistical Process Control Engineer jobs? Cities near Nashville, TN with the most Statistical Process Control Engineer job openings:
Infographic showing various Statistical Process Control Engineer job openings in Nashville, TN as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $95,390 per year, or $45.9 per hour.

Aerospace Quality Engineer

Autocam Medical

Murfreesboro, TN

Full-time

Re-posted 26 days ago


Autocam Medical rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

The Quality Engineer is responsible for understanding customer quality related requirements, driving internal efforts for root cause and quality improvement,while supporting our high standards of precision and quality products in the inspection of aerospace parts including reporting of required data.

Duties and Responsibilities

Establish and participate in supplier qualification/development activities.

Lead/Develop/Use Key Process Indicators to determine process effectiveness, identify areas for improvement, best practices, and drive continuous quality improvement.

Lead/Drive corrective, preventive, and closure actions for project issues related to quality and/or test non-conformance.

Work closely with production line and ensure all necessary controls are enforced to be compliant with AS9100 rev D requirements including AS9102 rev C forms and process.

May ensure that quality reporting (e.g. incoming and in-process quality trends; returns analysis, categorization and corrective action activity, etc.) is maintained and documented with the assigned team.

Perform analysis of reports and production data to identify trends and recommend updates to changes to the Quality System Regulations, Standards, and/or guideline procedures when necessary.

Determines quality improvement parameters by identifying statistical methods relevant to manufacturing processes.

Establishes statistical confidence by identifying sample size and acceptable error, determining levels of confidence.

Develops sampling plans by applying attribute, variable, and sequential sampling methods.

Maintains statistical process controls where applicable.

Analyzes data by completing hypothesis, normal distribution, and process capability analysis tests.

Prepares reports by collecting, analyzing, and summarizing data, making recommendations.

Contributes to team effort by accomplishing related results as needed.


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