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Statistical Process Control Engineer Jobs in Phoenix, AZ

Process Engineer Permanent About Heraeus Making displays foldable? Helping hearts beat with medical ... Apply Statistical Process Control (SPC), process capability analysis, and data analytics to drive ...

As a Photomask Process/Equipment Engineer, you will demonstrate a strong sense of reliability and ... Apply statistical process control methods to establish and sustain a robust photomask process flow.

As a Process Engineer , you will focus on delivering a robust and efficient semiconductor ... Applying statistical process control methods to establish and sustain a robust manufacturing ...

As a Process Engineer , you will focus on delivering a robust and efficient semiconductor ... Applying statistical process control methods to establish and sustain a robust manufacturing ...

... process. The Role This position serves as a Quality Control Engineer specialist responsible for ... The ideal candidate will be able to use their laboratory and statistical knowledge to communicate ...

... process. The Role This position serves as a Quality Control Engineer specialist responsible for ... The ideal candidate will be able to use their laboratory and statistical knowledge to communicate ...

... process. The Role This position serves as a Quality Control Engineer specialist responsible for ... The ideal candidate will be able to use their laboratory and statistical knowledge to communicate ...

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Statistical Process Control Engineer information

See Phoenix, AZ salary details

$52.1K

$98.1K

$146K

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

As of Jul 16, 2026, the average yearly pay for statistical process control engineer in Phoenix, AZ is $98,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $115,700.00 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 Phoenix, AZ? For Statistical Process Control Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Phoenix, AZ look for? The top searched job categories for Statistical Process Control Engineer jobs in Phoenix, AZ are:
Process Engineer

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Posted 2 days ago


Heraeus Group rating

6.9

Company rating: 6.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Process Engineer
Permanent
 

About Heraeus

Making displays foldable? Helping hearts beat with medical innovations? Or breathing new life into precious metals? As a family-owned global technology group we help our customers to always being one step ahead.


About Heraeus Covantics

We are one of the leading materials specialists in the production and processing of high-purity quartz glass and other high-quality materials such as ceramics and innovative composites. With a global team of over 2,000 employees and locations in Europe, the USA, and Asia, we specialize in manufacturing semi-finished products, complex system components, and customized solutions for the information and telecommunications industry, the production of specialty fibers for industrial and medical applications, semiconductor manufacturing, and optics.
In our company, you can expect an innovation-driven work environment, global teamwork, and the opportunity to take an active role in social and environmental responsibility. Become part of our team and shape the future with us!
 

About Heraeus Covantics

We are one of the leading materials specialists in the production and processing of high-purity quartz glass and other high-quality materials such as ceramics and innovative composites. With a global team of over 2,000 employees and locations in Europe, the USA, and Asia, we specialize in manufacturing semi-finished products, complex system components, and customized solutions for the information and telecommunications industry, the production of specialty fibers for industrial and medical applications, semiconductor manufacturing, and optics.
In our company, you can expect an innovation-driven work environment, global teamwork, and the opportunity to take an active role in social and environmental responsibility. Become part of our team and shape the future with us!

Summary

The Process Automation Engineer develops, implements, and optimizes automated manufacturing systems and process control solutions within advanced ceramic production. This hands-on role drives improvements in process capability, equipment performance, product quality, and operational efficiency through automation, process monitoring, data analysis, and continuous improvement initiatives.

Working closely with Engineering, R&D, Production, Quality, Maintenance, and IT teams, the Process Automation Engineer leads automation projects, supports equipment integration and manufacturing data systems, and helps scale manufacturing processes from development through production. The role plays a key part in optimizing manufacturing operations while ensuring compliance with safety, quality, and regulatory requirements. The role also supports technology scouting, Industry 4.0 initiatives, new product introductions, and continuous improvement while maintaining the highest standards of safety and quality.

Your Role and Responsibilities:

  • Design, develop, implement, and optimize automation and process control solutions for ceramic manufacturing processes including powder preparation, sintering, grinding, lapping, and polishing.
  • Establish and continuously improve process control strategies, automation standards, and operating parameters to ensure product quality, yield, and throughput.
  • Lead process automation projects from concept through implementation, validation, start-up, and operational handoff.
  • Develop and support PLC, HMI, SCADA, and industrial communication systems to improve equipment reliability, process visibility, and traceability.
  • Integrate manufacturing equipment with production data systems and digital manufacturing tools to support operational performance and decision-making.
  • Apply Statistical Process Control (SPC), process capability analysis, and data analytics to drive process improvements and reduce variation.
  • Troubleshoot and optimize manufacturing equipment, control systems, and processes to improve uptime, productivity, and overall equipment effectiveness.
  • Collaborate with Engineering, R&D, Production, Quality, Maintenance, and IT teams to evaluate and deploy new technologies and manufacturing solutions.
  • Support equipment commissioning, validation, and continuous improvement activities.
  • Ensure all automation and process improvement activities comply with applicable safety, quality, environmental, and regulatory requirements.

What is required for the role:

  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Electrical Engineering, Automation Engineering, Materials Science, Chemical Engineering, or a related technical field.
  • 3-7+ years of experience in manufacturing engineering, process engineering, automation engineering, or industrial automation within a production environment.
  • Experience with PLCs, HMIs, SCADA systems, industrial networking, and process control technologies.
  • Experience applying Statistical Process Control (SPC), process capability analysis, root cause analysis, and continuous improvement methodologies.
  • Experience using manufacturing and data analysis tools such as Minitab, JMP, Power BI, or equivalent.
  • Familiarity with Industry 4.0 concepts, manufacturing data systems, equipment connectivity, MES, SQL databases, OPC UA, MQTT, or similar technologies is preferred.
  • Demonstrated leadership with a proven track record of influencing colleagues, peers, and cross-functional teams to achieve goals and drive decision-making without formal authority.
  • Strong analytical, troubleshooting, and problem-solving skills with a data-driven mindset.
  • Excellent communication skills with the ability to present technical concepts to both technical and non-technical audiences.
  • Highly organized, detail-oriented, and able to manage multiple priorities in a hands-on manufacturing environment requiring regular presence on the production floor.

Curious? Apply now!

We look forward to receiving your documents by reference code 59148 via our online application portal.
Any further questions?

Our Recruiting Team, Heraeus Covantics, is happy to assist you by email: [[cust_RecTeam]]. Or visit us at jobs.heraeus.com.

 

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