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Statistical Process Control Engineer Jobs in Pennsylvania

Engineer the Future of Manufacturing. Leola is growing, and we're looking for an experienced ... Knowledge of statistical and quality methodologies including Statistical Process Control (SPC ...

Engineer the Future of Manufacturing. Leola is growing, and we're looking for an experienced ... Knowledge of statistical and quality methodologies including Statistical Process Control (SPC ...

Engineer the Future of Manufacturing. Leola is growing, and we're looking for an experienced ... Knowledge of statistical and quality methodologies including Statistical Process Control (SPC ...

Process Engineer

Nazareth, PA ยท On-site

$80/hr

... Statistical Process Control (SPC) and Six Sigma tools to achieve continuous improvement goals plant-wide; considered to be a subject matter expert in each of these areas. โ€ข Support, establish, and ...

We are seeking a skilled and detail-oriented Process Engineer to join our dynamic team in the ... statistical process control analysis; resolves process related problems. - Conduct process ...

The Engineer will be primarily concerned with increasing productivity through management of process improvements using Lean Manufacturing, SPC (Statistical Process Control) or Six Sigma methods.

SMT Process Engineer

Philadelphia, PA ยท On-site

$90K - $140K/yr

The SMT P rocess Engineer serves as the technical lead for Surface Mount Technology (SMT ... Analyze manufacturing data and apply Statistical Process Control (SPC) and other data-driven ...

Showing results 21-40

Statistical Process Control Engineer information

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 Pennsylvania?

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

What job categories do people searching Statistical Process Control Engineer jobs in Pennsylvania look for?

The top searched job categories for Statistical Process Control Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Statistical Process Control Engineer jobs?

Cities in Pennsylvania with the most Statistical Process Control Engineer job openings:

Infographic showing various Statistical Process Control Engineer job openings in Pennsylvania as of June 2026, with employment types broken down into 60% Full Time, 39% Part Time, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

$67K - $87K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

New


Job description

Work Your Magic with us!Start your next chapter and join EMD Electronics.

Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Everything we do in EMD Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.

This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.


Your Role:

The Quality Engineer will drive quality excellence through statistical process control and data analytics, ensuring world-class outcomes for materials delivered to major semiconductor customers globally. In this role, you will apply statistical methods and process data - from SPC reviews to multivariate analysis - to identify variation, uncover root causes, and guide cross-functional teams toward data-driven corrective and preventive actions. As the voice of the customer, you will partner with the Site Quality Manager to advance quality performance, leveraging automation and data digitization initiatives to accelerate decision-making and drive continuous improvement.

Key Responsibilities:

  • Own statistical process control (SPC) across Hometown operations - build, review, and refine SPC systems to detect variation early, drive root-cause analysis, and guide data-backed corrective and preventative actions
  • Apply statistical methods (t-tests, ANOVA, single and multivariate modeling) to analyze process data, identify variation sources, and translate findings into actionable quality improvements
  • Lead cross-functional teams in resolving issues using data-driven root cause investigations and CAPA implementation
  • Design and enable automation and data digitization initiatives that accelerate decision-making and improve visibility into process variables and emerging issues
  • Serve as a key voting member for material disposition decisions, using statistical and process data to identify systemic gaps and implement controls that reduce variation
  • Act as the voice of the customer to the site, ensuring quality metrics and process data reflect customer requirements
  • Lead and support audits of site processing and quality systems, incorporating statistical evidence of process control
  • Contribute to global quality initiatives through Lean, Six Sigma, and other data-driven process optimization projects
  • Lead teams in the execution and quality of all EMD materials delivered to major semiconductor customers globally

Location: Tamaqua Pennsylvania -working 3 days in office

Travel: up to 5% domestically

Who You Are:

Minimum Qualifications:

  • Bachelor's degree in engineering or mathematics or a very similar technical discipline
  • 5+ years of experience in chemical manufacturing, process engineering, control engineering, analytical chemistry, or semiconductor fabrication

OR

  • Master's degree in engineering or mathematics or a very similar technical discipline
  • 3+ years of experience in chemical manufacturing, process engineering, control engineering, analytical chemistry, or semiconductor fabrication

Preferred Qualifications:

  • Experience supporting quality initiatives in a semiconductor, chemical production, or similar manufacturing environment, with exposure to process control and statistical monitoring tools
  • Hands-on exposure to statistical process control or process data analysis
  • Moderate to advanced statistical knowledge (SPC, t-test, ANOVA, single and multivariate statistical modeling) this is a core requirement for the role
  • Proficiency with data science/statistical software including JMP, Palantir Foundry, Python, and/or visualization tools
  • Demonstrated experience with Lean and/or Six Sigma projects or data-driven process optimization
  • Experience with process improvement, data automation, and data digitization
  • Experience with quality problem-solving tools (5-Whys, segmentation, Model Based Problem Solving), FMEAs, continuous improvement activities, management of change, and document control systems
  • Demonstrated ability to motivate others and collaborate across internal stakeholder groups
  • Demonstrated success advancing projects, project teams, and process improvements
  • Excellent time management and organizational skills across multiple concurrent projects
  • Excellent oral and written communication skills, in English and ideally additional languages
  • Ability to work effectively across diverse backgrounds and cultures
  • Experience in the electronics industry, preferably semiconductors
  • Experience with ISO9001 Quality Management Systems
  • Six Sigma Green Belt or Black Belt certification
  • SAP experience

Pay Range for this position: $86,200-$129,200 year

The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information clickhere.


What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Employment Type: Full time