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Statistical Process Control Engineer Jobs in Pittsburgh, PA

The Process Control Engineer will be responsible for supporting and developing new applications and programs in the Hot Mill. The ideal candidate will be self-motivated and thrive in a fast paced ...

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Collect and analyze Statistical Process Control (SPC) data to monitor process performance and ... Collaborate with other engineers, quality personnel, maintenance, and production to address high ...

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Collect and analyze Statistical Process Control (SPC) data to monitor process performance and ... Collaborate with other engineers, quality personnel, maintenance, and production to address high ...

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Collect and analyze Statistical Process Control (SPC) data to monitor process performance and ... Collaborate with other engineers, quality personnel, maintenance, and production to address high ...

Be Seen First

Collect and analyze Statistical Process Control (SPC) data to monitor process performance and ... Collaborate with other engineers, quality personnel, maintenance, and production to address high ...

Be Seen First

Collect and analyze Statistical Process Control (SPC) data to monitor process performance and ... Collaborate with other engineers, quality personnel, maintenance, and production to address high ...

Be Seen First

Collect and analyze Statistical Process Control (SPC) data to monitor process performance and ... Collaborate with other engineers, quality personnel, maintenance, and production to address high ...

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Statistical Process Control Engineer information

See Pittsburgh, PA salary details

$51K

$95.9K

$142.7K

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

As of Sep 2, 2026, the average yearly pay for statistical process control engineer in Pittsburgh, PA is $95,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $113,100.00 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 Pittsburgh, PA?

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

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

The top searched job categories for Statistical Process Control Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Statistical Process Control Engineer jobs?

Cities near Pittsburgh, PA with the most Statistical Process Control Engineer job openings:

Infographic showing various Statistical Process Control Engineer job openings in Pittsburgh, PA as of June 2026, with employment types broken down into 1% Locum Tenens, 10% Full Time, 85% Part Time, 2% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $95,876 per year, or $46.1 per hour.

Full-time

Posted 9 days ago


Job description


Role: Software Engineer / Process Control Engineer

Core Requirement: 1-2 years of software engineering experience

Programming: Core Java or Python or C/C#.

SCADA: SCADA platform experience

OS: Linux experience preferred; Windows is acceptable

Kubernetes: Experience is a plus

IoT: IoT exposure is a plus

Industry: Manufacturing experience preferred

Analytics: Data analysis and operations analysis experience

Troubleshooting: Strong troubleshooting/problem-solving skills required

Software or Systems Design Industrial Communication Protocols Willing to use AI as a Skills Multiplier Proficiency in a Programing Language Strong Troubleshooting Skills


Application Developer III (3638-1)

Shrikant Joshi

US Steel

West Mifflin

Pennsylvania

Sep/01/2026

Sep/01/2027