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Statistical Process Control Engineer Jobs in Tampa, FL

Process Engineer Duration: 5 Months + (Possible Extension) Pay Rate: $42 /hr on W2 Location ... Experience with Statistical Process Control (SPC), Design of Experiments (DOE), Process Capability ...

The Process Engineer leads structured problem solving, process control and capability improvements ... Statistical analysis experience (e.g., JMP) and ability to apply DOE, SPC, and capability studies ...

Manufacturing Engineer

Clearwater, FL ยท On-site

$40 - $53/hr

Develop and apply statistical process control (SPC) methods to maintain process stability and quality. Collaborate with design engineering teams to provide input on manufacturability, cost ...

Manufacturing Engineer

Gibsonton, FL ยท On-site

$61K - $79K/yr

ESSENTIAL DUTIES AND RESPONSIBILITIES - Develop processes that meet customer specifications using process knowledge and engineering principles. - Maintain statistical process control and monitor ...

Manufacturing Engineer

Oldsmar, FL ยท On-site

$66K - $86K/yr

Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. * Provides guidance to engineering regarding design concepts and specification ...

Strong understanding of inspection methods, metrology, calibration, and statistical process control. * Ability to read and interpret engineering drawings, specifications, and technical publications.

Strong understanding of inspection methods, metrology, calibration, and statistical process control. * Ability to read and interpret engineering drawings, specifications, and technical publications.

Strong understanding of inspection methods, metrology, calibration, and statistical process control. * Ability to read and interpret engineering drawings, specifications, and technical publications.

Strong understanding of inspection methods, metrology, calibration, and statistical process control. * Ability to read and interpret engineering drawings, specifications, and technical publications.

Strong understanding of inspection methods, metrology, calibration, and statistical process control. * Ability to read and interpret engineering drawings, specifications, and technical publications.

Strong understanding of inspection methods, metrology, calibration, and statistical process control. * Ability to read and interpret engineering drawings, specifications, and technical publications.

Strong understanding of inspection methods, metrology, calibration, and statistical process control. * Ability to read and interpret engineering drawings, specifications, and technical publications.

Strong understanding of inspection methods, metrology, calibration, and statistical process control. * Ability to read and interpret engineering drawings, specifications, and technical publications.

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Statistical Process Control Engineer information

See Tampa, FL salary details

$49.6K

$93.3K

$138.9K

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 Tampa, FL is $93,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $110,100.00 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 Tampa, FL? For Statistical Process Control Engineer jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Tampa, FL look for? The top searched job categories for Statistical Process Control Engineer jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Statistical Process Control Engineer jobs? Cities near Tampa, FL with the most Statistical Process Control Engineer job openings:
Process Engineer

Process Engineer

IntelliPro Group Inc.

Pinellas Park, FL โ€ข On-site

Contractor

Posted 9 days ago


Job description

Position Title: Process Engineer
Duration: ย 5 Months + (Possible Extension)
Pay Rate:ย $42 /hr on W2
Location: Pinellas Park, FL
ย About the Role

We are seeking a Process Engineer to provide technical ownership of manufacturing processes and ensure stable, safe, and efficient production operations. This role is responsible for driving process improvements, supporting production, troubleshooting manufacturing issues, and implementing continuous improvement initiatives to enhance quality, yield, productivity, and overall operational performance.

The ideal candidate is a hands-on engineering professional with experience in manufacturing environments, strong analytical and problem-solving skills, and a passion for process optimization.

Key Responsibilities
  • Own and support assigned manufacturing processes, ensuring process stability, capability, and compliance with established specifications and control plans.
  • Partner with production and operations teams to achieve key manufacturing KPIs, including yield, productivity, cycle time, scrap reduction, and overall equipment performance.
  • Troubleshoot complex manufacturing and equipment issues using structured root cause analysis and implement effective corrective and preventive actions.
  • Identify and execute continuous improvement initiatives focused on safety, quality, throughput, cost reduction, and process optimization using Lean Manufacturing and Six Sigma methodologies.
  • Analyze production data to identify process variation, yield loss, downtime, and improvement opportunities while developing meaningful reports and performance metrics.
  • Create, update, and maintain process documentation, including SOPs, work instructions, process control plans, and engineering change documentation.
  • Support the introduction of new products, manufacturing processes, and equipment by participating in development, validation, and production readiness activities.
  • Collaborate with Quality, Maintenance, Operations, and cross-functional teams to ensure efficient manufacturing performance.
  • Promote a strong safety culture by ensuring all engineering solutions comply with Environmental, Health & Safety (EHS) standards.
  • Provide technical guidance and coaching to manufacturing technicians and production personnel.
Required Qualifications
  • Bachelor's degree in Chemical Engineering, Mechanical Engineering, Industrial Engineering, Materials Engineering, or a related engineering discipline.
  • Minimum of 3 years of manufacturing or process engineering experience in a production environment.
  • Demonstrated experience troubleshooting manufacturing processes using structured problem-solving methodologies.
  • Working knowledge of process control, standard work, control plans, process capability, and variation reduction techniques.
  • Comfortable working in manufacturing environments involving industrial chemicals.
  • Strong proficiency with Microsoft Excel and Microsoft Office Suite.
  • Excellent analytical, communication, and interpersonal skills with the ability to collaborate across cross-functional teams.
Preferred Qualifications
  • 5+ years of manufacturing or process engineering experience.
  • Experience in coatings, chemical processing, cleanroom manufacturing, semiconductor, medical device, or other highly regulated manufacturing environments.
  • Lean Six Sigma Green Belt or Black Belt certification.
  • Experience with Statistical Process Control (SPC), Design of Experiments (DOE), Process Capability Studies, and statistical software such as JMP.
What You'll Bring
  • Strong analytical and data-driven decision-making skills.
  • Excellent troubleshooting and root cause analysis capabilities.
  • Ability to thrive in a fast-paced manufacturing environment.
  • Continuous improvement mindset with a focus on operational excellence.
  • Strong collaboration, communication, and leadership skills.

About Us:

Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.

IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.

Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

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