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Statistical Process Control Engineer Jobs in Cincinnati, OH

This role applies process engineering, chemistry, SPC, and formulation knowledge while working ... Minitab or similar statistical software preferred. - SAP experience a plus. - Excellent problem ...

This role applies process engineering, chemistry, SPC, and formulation knowledge while working ... Minitab or similar statistical software preferred. - SAP experience a plus. - Excellent problem ...

Interpret engineering drawings, schematics, and specifications. * Perform inspections and tests ... SPC (Statistical Process Control) experience preferred. Physical & Work Environment: * Requires ...

Interpret engineering drawings, schematics, and specifications. * Perform inspections and tests ... SPC (Statistical Process Control) experience preferred. Physical & Work Environment: * Requires ...

Interpret engineering drawings, schematics, and specifications. * Perform inspections and tests ... SPC (Statistical Process Control) experience preferred. Physical & Work Environment: * Requires ...

Process Engineer

Lebanon, OH · On-site

$90K - $115K/yr

This is a great chance to continue your career as a Process Engineer and have a true impact on ... Thorough knowledge of operations, statistics, equipment design, process control, and process scale ...

Control Engineer

Cincinnati, OH · On-site

$80K - $103K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... Experience with PLCs, motion control, process control, robotics, machine vision, and SCADA systems

Control Engineer

Cincinnati, OH

$80K - $103K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... Experience with PLCs, motion control, process control, robotics, machine vision, and SCADA systems

Quality Engineer

Cincinnati, OH · On-site

$69K - $89K/yr

Works cooperatively with other departments (Value Stream, Engineering, Inside Sales, Supply Chain ... Statistical Process Control * Actively participates in Crane Business System activities Kaizen and ...

Quality Engineer

Cincinnati, OH · On-site

$69K - $89K/yr

Works cooperatively with other departments (Value Stream, Engineering, Inside Sales, Supply Chain ... Statistical Process Control * Actively participates in Crane Business System activities Kaizen and ...

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Statistical Process Control Engineer information

See Cincinnati, OH salary details

$50.4K

$94.8K

$141K

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

As of Jul 2, 2026, the average yearly pay for statistical process control engineer in Cincinnati, OH is $94,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $111,800.00 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.
What are popular job titles related to Statistical Process Control Engineer jobs in Cincinnati, OH? For Statistical Process Control Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Cincinnati, OH look for? The top searched job categories for Statistical Process Control Engineer jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Statistical Process Control Engineer jobs? Cities near Cincinnati, OH with the most Statistical Process Control Engineer job openings:
Infographic showing various Statistical Process Control Engineer job openings in Cincinnati, OH as of June 2026, with employment types broken down into 57% Full Time, 41% Part Time, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $94,756 per year, or $45.6 per hour.

Specialist, Semiconductor Process Engineer

L3HHCM20

Mason, OH

Other

Posted 6 days ago


Job description

Job Title: Senior Specialist, Semiconductor Process Engineer

Job Code: 37646 

Job Location: Mason, Ohio

Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Technologies is seeking a Semiconductor Process Engineer for the Focal Plane Array team at our Mason, OH location. As a Semiconductor Process Engineer, you will support a variety of wafer fabrication tools and processes, perform data analysis for development and production work, identify process issues and process optimization opportunities, perform root cause analysis and drive mitigation strategies, perform qualification activities for new processes and tools, and provide sustaining engineering support in a manufacturing area. You will have regular interactions with equipment vendors, operations management, equipment maintenance, technicians and development engineering teams.

Essential Functions:

  • Utilize semiconductor processing techniques to develop, optimize, and own production processes.

  • Utilize MES for operations management, process tracking, and monitoring.

  • Qualify, set up, and operate semiconductor wafer equipment for III-V semiconductor manufacturing.

  • Monitor Statistical Process Control (SPC) and Fault Detection Control (FDC); identify process drifts and potential excursions.

  • Perform Design of Experiments (DOEs) and process verification for new tools and processes.

  • Perform data-driven root cause investigation efforts for process and equipment issues.

  • Implement improvements for efficiency, cost, reliability, and quality

  • Develop and maintain detailed process, equipment, and operational documentation.

  • Maintain a safe and organized work environment, ensuring ISO/ANSI compliance with safety protocols and standards.

  • Ability to train and mentor technicians and engineers on process equipment and procedures.

  • Ability to obtain US security clearance. 

Qualifications:

  • Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.

  • 1 year experience working in a Class 100 cleanroom or similar environment. 

 

Preferred Additional Skills:

  • Experience in semiconductor manufacturing processes such as wet chemical or plasma dry etching.

  • Strong organizational, verbal, and written communication skills.

  • Experience working with III-V semiconductor devices and manufacturing.

  • Familiar with using statistical data analysis software (e.g., Minitab, JMP) for process optimization and control.

  • Coding background, with experience in programming languages such as Python, C++, or similar, would be optional but highly beneficial.

  • Demonstrated problem-solving skills with a strong sense of responsibility, ownership, and follow-through.

  • Proven team player with a proactive and customer-oriented mindset and a sense of urgency to achieve job goals.

  • Continuous improvement focused with the ability to implement and sustain process improvements.