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Statistical Process Control Engineer Jobs in Richmond, VA

Principal Electrical Engineer

Colonial Heights, VA · On-site

$135K - $166K/yr

Provide short-term and long-term improvements in process control using PLC, HMI Programming, AC/DC ... Apply statistical tools to track, analyze trend data, perform calculations, communicate performance ...

Quality Manager

Chester, VA · On-site

$118K - $178K/yr

... apply advanced Statistical Process Control (SPC) techniques to monitor, analyze, and improve ... Bachelor's degree in Chemistry, Chemical Engineering, or a related science or engineering ...

As a Process Engineer, you will be responsible for the application, evaluation, development ... Design control systems and prepare drawings, specifications, and scopes of work. * Write new, or ...

... Engineering, and Technical Service divisions to develop and implement system improvements ... Control Plans, SPC (Statistical Process Control), Process Capability, Pareto charts, Histograms ...

Machine Operator - 3rd Shift

Henrico, VA · On-site

$15.50 - $18.50/hr

Records data required for statistical process control or inventory management. * Performs ... Must have basic programming skills, complex troubleshooting and monthly maintenance. Demonstrates ...

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... process control documents. ● Support field and production activities, providing Automation ...

Machine Operator 4 - 1st Shift

Henrico, VA · On-site

$15.50 - $18.50/hr

Records data required for statistical process control or inventory management. * Performs ... Must have basic programming skills, complex troubleshooting and monthly maintenance. Demonstrates ...

Description Advanced engineering position that leads in process design and execution. Provides ... Follows cGMP guidelines for operation comments and batch records, other change control requirements ...

Showing results 41-60

Statistical Process Control Engineer information

See Richmond, VA salary details

$52K

$97.7K

$145.5K

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

As of Aug 9, 2026, the average yearly pay for statistical process control engineer in Richmond, VA is $97,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $115,300.00 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 are popular job titles related to Statistical Process Control Engineer jobs in Richmond, VA? For Statistical Process Control Engineer jobs in Richmond, VA, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control Engineer jobs in Richmond, VA look for? The top searched job categories for Statistical Process Control Engineer jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Statistical Process Control Engineer jobs? Cities near Richmond, VA with the most Statistical Process Control Engineer job openings:
Infographic showing various Statistical Process Control Engineer job openings in Richmond, VA 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, with an average salary of $97,734 per year, or $47 per hour.

Principal Electrical Engineer

System One

Colonial Heights, VA • On-site

$135K - $166K/yr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Job description

Job Title: Principal Electrical Engineer Location: Colonial Heights, VA, United States Overview The Principal Electrical Engineer is responsible for troubleshooting and improving electrical and instrumentation systems using reliability-centered maintenance and process control technologies while serving as the primary point of contact for E&I issues, leading diagnostics, maintenance activities, and cross-functional collaboration to support plant operations. The position also drives continuous improvement through data analysis, standardization, and support of capital projects and maintenance initiatives. Responsibilities:
  • Solve Electrical and Instrumentation problems through design, redesign, application, and reliability centered maintenance techniques.
  • Familiar with all instrumentation devices such as transmitters, controllers, transducers, signal conditioners, valves, limit and proximity switches.
  • Perform E/I loop checks, calibrations, and interlock testing.
  • Serve as the primary point of contact for all E&I related issues during normal working hours and during off hours.
  • Develop Electrical & Instrumentation (E&I) guidelines, inspection/test/work procedures, standards, documentation methods, and policies to achieve world-class level.
  • Provide troubleshooting flow charts and standard works to improve troubleshooting techniques and reduce troubleshooting time.
  • Lead troubleshooting and problem-solving activities on E&I related issues.
  • Support, plan, and coordinate E&I work during outages.
  • Interact effectively with Planners, Operators, Shift Leaders, and Production Engineers to resolve day-to-day E&I maintenance and minor mechanical issues.
  • Assist in the implementation of capital projects and maintenance process improvements to maximize manufacturing rates, yields, and efficiencies.
  • Provide short-term and long-term improvements in process control using PLC, HMI Programming, AC/DC Inverter Drives, Motor Controls, Experion DCS, and electrical power distribution.
  • Utilize SAP, MS Project, and MS Office Suite (Word, Excel, PowerPoint) for planning and reporting.
  • Use various test and inspection instruments, including NDT and PdM technologies, to assess equipment condition and repair requirements.
  • Apply statistical tools to track, analyze trend data, perform calculations, communicate performance, and predict remaining life and failure expectancy to improve MTBF.
  • Investigate incidents related to equipment failure, perform root cause analysis, and develop follow-up recommendations.
  • Collaborate with maintenance, stores, suppliers, and purchasing on spare parts and equipment opportunities.
  • Track plant downtime and OEE, prepare monthly reports, and report benefits from reliability centered maintenance.
  • Support MOC programs for changes in reliability databases and maintenance excellence efforts.
Requirements:
  • Associates Degree in Electrical Engineering or Electrical Engineering Technology
  • Minimum 6 months of experience in controls, instrumentation, computer programming, hardware design, manufacturing, project design, reliability engineering, maintenance, or production engineering
  • Proficiency in MS PowerPoint, Access, Excel, Outlook, Word, Visio, Project, Adobe Acrobat, and ERP systems
  • Ability to handle multiple tasks simultaneously in a high-stress environment
  • Willingness to lead process development and improvements
  • Effective collaboration skills across all organizational levels
  • Hands-on proactive problem solving with strong judgment
  • Excellent interpersonal, organizational, and detail-oriented skills
  • Strong problem solving, self-motivation, and innovation capabilities
  • Ability to influence organizational change and link business objectives with employee development
  • Strong written and verbal communication skills, including presentation abilities
System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M- #LI- Ref: #404-IT Pittsburgh