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Statistical Process Control Engineer Jobs in Virginia

Process Control Engineer - West Point, VA The opportunity: The Process Control Engineer position: provides technological and engineering expertise for the implementation of new process control ...

General Information Job ID ATR59800 Posting Job Title Process Control Engineer Locations VA Hopewell Employment Type Full Time Date Posted 11-Mar-2026 Relocation Support Yes Description ...

Quality Control Engineer

Chester, VA · On-site

$69K - $103K/yr

... and monitoring of Statistical Process Control (SPC) systems to analyze trends and reduce ... Collaborate with production, engineering, and EHS teams to ensure quality requirements are embedded ...

Quality Control Engineer

Chester, VA · On-site

$69K - $103K/yr

... and monitoring of Statistical Process Control (SPC) systems to analyze trends and reduce ... Collaborate with production, engineering, and EHS teams to ensure quality requirements are embedded ...

Working knowledge of Statistical Process Control (SPC) techniques * Excellent communication skills ... Bachelor's degree in Engineering, Chemistry, Materials Science, or related field * Experience in ...

The Lead Automation and Process Control Engineer provides automation and process control leadership and technical support for DCS (distributed control system) configuration and design. The Automation ...

The Lead Automation and Process Control Engineer provides automation and process control leadership and technical support for DCS (distributed control system) configuration and design. The Automation ...

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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, 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 Virginia? For Statistical Process Control Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Virginia look for? The top searched job categories for Statistical Process Control Engineer jobs in Virginia are:
What cities in Virginia are hiring for Statistical Process Control Engineer jobs? Cities in Virginia with the most Statistical Process Control Engineer job openings:
Infographic showing various Statistical Process Control Engineer job openings in Virginia as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution.
Process Control Engineer

Process Control Engineer

Brightpath Associates LLC

Franklin, VA • On-site

Other

Posted 11 days ago


Job description

Job Description

  • Maintenance and optimization: maintain, troubleshoot, and optimize the existing mix of old and new DCS & QCS systems to ensure smooth and efficient mill operations.
  • Programming Control Loops: Develop and program control loops in ABB systems, ensuring precision and reliability in the tissue production process.
  • Adaptation to Older Systems: Learn and program in older control system architectures, ensuring they are fully functional and meet the mill’s operational standards.
  • System Upgrades and Integration: Lead initiatives for system upgrades and integrate new control technologies with existing systems to enhance overall efficiency.
  • Technical Support: Provide technical support to the production team, addressing any issues related to process control systems promptly and effectively.
  • Documentation and Compliance: Create and maintain detailed documentation of control systems, programming changes, and maintenance activities. Ensure all control systems comply with industry standards and safety regulations.
  • Continuous Improvement: Identify opportunities for continuous improvement in control systems and processes, implementing changes to optimize performance and reduce downtime.
  • Training and Mentorship: Train and mentor junior engineers and technicians on control systems and programming, fostering a culture of knowledge sharing and professional development.


Qualifications

  • Education: Bachelor’s Degree in Engineering, preferably in Electrical, Control Systems, or related field. Advanced degree is a plus.
  • Experience: Minimum of 5-7 years of experience in process control engineering, with a focus on AB and ABB systems. Experience in a tissue or papermill environment is highly desirable.
  • Technical skills:
  • Proficiency in programming control loops in ABB systems.
  • Strong understanding of QCS & DCS systems and their components.
  • Ability to program and troubleshoot older control system architectures.
  • Familiarity with process control instrumentation and electrical systems.
  • Problem solving: Excellent analytical and problem-solving skills, with the ability to troubleshoot complex control system issues effectively.
  • Communication skills: Strong verbal and written communication skills, with the ability to convey technical information clearly to non-technical team members.
  • Project management: Proven ability to manage multiple projects simultaneously, prioritizing tasks and meeting deadlines.