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Statistical Process Control Engineer Jobs in Huntsville, AL

NPI Quality Engineer

Huntsville, AL ยท On-site

$70K - $91K/yr

Proficiency with statistical process control (SPC), quality metrics, data analysis, and data-driven ... Ability to align Engineering, Supply Chain, Program Management, Production, and Quality teams ...

Master Tool and Die Maker

Cullman, AL ยท On-site

$23 - $29/hr

Statistical Process Control, Linear Measuring and Problem Solving Training. Must be able to get certified in Press Safety. TYPICAL MACHINES AND EQUIPMENT INVOLVED: Punch presses, benders, feeders ...

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Statistical Process Control Engineer information

See Huntsville, AL salary details

$51.7K

$97.3K

$144.8K

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

As of Jul 18, 2026, the average yearly pay for statistical process control engineer in Huntsville, AL is $97,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $114,800.00 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, and why are they important?

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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What cities near Huntsville, AL are hiring for Statistical Process Control Engineer jobs? Cities near Huntsville, AL with the most Statistical Process Control Engineer job openings:
1226 - Quality Engineer

1226 - Quality Engineer

Monte Sano Research Corporation

Huntsville, AL โ€ข On-site

$66K - $85K/yr

Full-time

Posted 17 days ago


Job description

Monte Sano Research Corporation (MSRC) is a Huntsville-based Small Business specializing in providing full-spectrum defense system engineering, research, design, development, integration, test, evaluation, and planning services to the U.S. Government.

As an ESOP company, our employee-owners are personally invested in the success of our customers, our programs, and one another. Our primary focus at MSRC is to provide extraordinary talent to propel the Warfighter, and we seek to hire people who are Elevated (always do the right thing), Exceptional (the very best at what they do), and Enduring (self-disciplined; self-motivated).


MSRC is seeking a Quality Engineer to support the Maneuver Short Range Air Defense Increment 4 and SGT STOUT programs within the SHIELD Project Office. This position provides on-site quality engineering support and technical guidance to the SHIELD Quality and Reliability Engineering Directorate. The candidate will contribute to the development, production, and sustainment of advanced weapon systems.

Duties and Responsibilities:

  • Lead and/or support quality management system activities and program assessments.
  • Participate in technical reviews and provide quality engineering guidance throughout the product lifecycle.
  • Support supply chain quality management and production line validation activities.
  • Assist with technical data package development and review.
  • Support environmental stress screening and reliability initiatives.
  • Provide input to Statements of Work (SOWs) and requirements development.
  • Develop and review acceptance test plans, first article testing, and factory acceptance testing activities.
  • Support inspection and test equipment validation and calibration processes.
  • Manage nonconforming material processes and corrective action activities.
  • Conduct root cause and failure analyses and support implementation of corrective and preventive actions.
  • Perform defect tracking, trend analysis, and continuous improvement initiatives.
  • Support critical characteristics management and statistical process control activities.
  • Prepare and coordinate Quality Engineering (QE) materiel release statements.

Education:

  • Bachelorโ€™s degree in Engineering or a related technical field required.

Job Qualifications:

  • Minimum of 14 years of relevant quality engineering experience supporting defense, aerospace, or complex systems programs.
  • Experience supporting development, manufacturing, and/or sustainment of weapon systems.
  • Strong understanding of quality management systems, testing methodologies, and continuous improvement practices.
  • Ability to work collaboratively with government, contractor, and cross-functional teams.

Additional Requirements:

  • Candidate must be a U.S. Citizen.
  • Candidate must currently possess and be able to maintain an active security clearance.

MSRCโ€™s Equal Employment Opportunity (EEO) practices are grounded in federal laws, including Title VII of the Civil Rights Act of 1964, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteransโ€™ Readjustment Assistance Act of 1974 (VEVRAA), and the Americans with Disabilities Act Amendments Act (ADAAA), among others. These laws prohibit discrimination in employment based on race, color, national origin, age, religion, sex, disability, marital status, veteran status, genetic information, and other protected characteristics. They also prohibit preferential treatment based on any such trait. These protections apply across all aspects of employment, including hiring, promotion, training, and termination.