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Statistical Process Control Engineer Jobs in Phoenix, AZ

... 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 ...

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

Analyze statistical process control performance, OOC's and trend alerts. Requires use of Excel, JMP or other statistical software. * Lead Process Engineering Development * Direct and oversee process ...

Develops manufacturing processes that are applicable to statistical process control and may develop ... Provides technical and sustaining engineering support in a manufacturing area. Troubleshoots and ...

As a Packaging Module Development Engineer, you will: • Contribute to the advancement of ... Statistical Process Control (SPC) and/or Design of Experiments (DOE) • Delivery of results for ...

Develops manufacturing processes that are applicable to statistical process control and may develop ... Provides technical and sustaining engineering support in a manufacturing area. Troubleshoots and ...

As a Packaging Module Development Engineer, you will: • Contribute to the advancement of ... Statistical Process Control (SPC) and/or Design of Experiments (DOE) • Delivery of results for ...

Develops manufacturing processes that are applicable to statistical process control and may develop ... Provides technical and sustaining engineering support in a manufacturing area. Troubleshoots and ...

Showing results 21-40

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 Aug 6, 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 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 of data. It involves using control charts and data collection to detect variations, ensuring processes operate consistently and within specified limits. SPC helps improve product quality and reduce defects by identifying and addressing process issues early.

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.

How much do statistical process control engineers make in the US?

Statistical Process Control (SPC) engineers in the US typically earn between $70,000 and $110,000 annually, with the median salary around $85,000. Salaries vary based on experience, industry, location, and certifications such as Six Sigma or quality management training.

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.

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 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:

Track Equipment / Process Engineer - N. Phoenix

SCREEN SPE USA

Phoenix, AZ • On-site

$90K - $140K/yr

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Track Equipment / Process Engineer - Advanced Technology (Clean Track Systems) - SCREEN is seeking a highly motivated Track Equipment / Process Engineer to support the qualification, optimization, and long-term performance of clean track systems within a leading-edge, high-volume semiconductor manufacturing environment. This role is ideal for an engineer who thrives in a collaborative, fast paced setting and enjoys solving complex technical challenges that directly impact production quality and efficiency. Salary Range: $90,000 - $140,000. Please Note: SCREEN is not able to provide visa sponsorship at this time.
Essential Job Duties & Responsibilities:
Role Overview:
As a Track Equipment / Process Engineer, you will work closely with the customer's equipment engineering team, SCREEN's hardware service organization, and Japan based technical experts to maintain best known methods and drive continuous improvement. You will play a key role in sustaining critical coater/developer equipment, supporting new technology introductions, and ensuring stable, high quality manufacturing performance.
Key Responsibilities:
• Qualify, sustain, and optimize clean track (coater) equipment in a high volume fab environment.
• Serve as a technical liaison between customers, internal service teams, and global SCREEN resources.• Support process and equipment troubleshooting, including tool matching, root cause analysis, and process transfers from other manufacturing sites.
• Lead installation and qualification of new photoresist materials on existing tools.
• Prepare clear, accurate technical documentation, reports, and presentations for internal and customer review.
• Contribute to process specification responses, resist evaluations, and quality driven improvement initiatives.
• Work effectively in cleanroom environments and collaborate within a multicultural, cross functional team.
Qualifications & Attributes:
• Strong analytical and problem-solving skills with a hands-on approach to equipment and process engineering.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Comfortable working in cleanroom conditions and adapting to diverse cultural environments.
Job Requirements:
• Minimum of 3 years of hands on experience with any fab module equipment or process operations, with preferred experience on clean track (Lithography) systems.
• Experience working in fab operations, particularly within Tier 1 wafer fabrication environments, is highly desirable.
• Background in semiconductor wafer fabrication site within a device manufacturer and/or semiconductor equipment supplier is preferred.
• Experience identifying and implementing hardware continuous improvement projects (CIP) to enhance process performance.
• Working knowledge of experimental design, statistical analysis tools, and statistical process control methodologies.
• Excellent written and verbal communication skills, with the ability to interact effectively with both internal and external customers.
• Proven capability in performing root cause analysis and preparing clear, structured reports using industry standard methodologies.
• Ability to meet the physical requirements of the role, including stooping, reaching, handling, hearing, sitting, talking, and seeing.
• Fluency in Mandarin or Japanese is advantageous and supports effective communication in a global, multicultural environment.
Education & Experience:
B.S./M.S. Chemical Engineering, Mechanical Engineering, Chemistry, Materials Science or a related engineering discipline.