1

Statistical Process Control Spc Jobs (NOW HIRING)

Apply Statistical Process Control (SPC) methodologies to monitor and improve manufacturing processes. * Collaborate with process, device, integration, yield, and manufacturing engineering teams to ...

$149K - $284K/yr

... statistical process control (SPC) automation. Key Responsibilities * Architect, develop, and deploy automation solutions with partner organizations across wafer prep, die prep, and assembly test ...

Working experience with Statistical process control SPC) and equipment Fault detection classification (FDC) , Design of Experiments (DOE) principles and software (JMP). * Exhibit good and open ...

Quality Technician

Lebanon, KY · On-site

$15.50 - $20.75/hr

Knowledge of Statistical Process Control (SPC) techniques and basic quality tools. * Experience using inspection and measurement equipment, including calipers and micrometers. * Strong attention to ...

Working experience with Statistical process control SPC) and equipment Fault detection classification (FDC) , Design of Experiments (DOE) principles and software (JMP). * Exhibit good and open ...

Develop and maintain documentation and statistical process control (SPC) charts appropriate to a wafer manufacturing Fab. * Data Analysis and correlation of defects with process parameters across ...

Process Sustaining Sr. Engineer (CMP)

Austin, TX · On-site

$98K - $127K/yr

Maintain and improve process control using Statistical Process Control (SPC), Advanced Process Control (APC), and Fault Detection Control (FDC) * Investigate and resolve process, defect, and yield ...

Showing results 21-40

Statistical Process Control SPC information

See salary details

$52.5K

$98.8K

$147K

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

As of Sep 12, 2026, the average yearly pay for statistical process control spc in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What is statistical process control (SPC)?

Statistical Process Control (SPC) is a method used in manufacturing and other industries to monitor and control processes through the use of statistical tools. By collecting and analyzing data from production processes, SPC helps identify variations that could indicate problems or areas for improvement. Common tools include control charts, process capability analysis, and histograms. The goal of SPC is to ensure that processes operate efficiently, produce consistent quality, and reduce waste or defects.

What are the key skills and qualifications needed to thrive as a statistical process control (SPC) specialist?

To thrive as a Statistical Process Control (SPC) Specialist, you need a solid background in statistics, quality management, and process improvement, usually supported by a degree in engineering, mathematics, or a related field. Familiarity with statistical software (such as Minitab or JMP), control charting, and Six Sigma or other quality certifications is typically required. Attention to detail, analytical thinking, and effective communication skills help SPC specialists interpret data and drive process improvements across teams. These skills ensure accurate process monitoring, reduce variability, and promote consistent product quality in manufacturing or production environments.

What are some common challenges faced by statistical process control (SPC) specialists when implementing new control systems?

SPC Specialists often encounter challenges such as resistance to change from production teams, ensuring accurate data collection, and integrating new control systems with existing manufacturing processes. It can require significant effort to train staff on proper data recording and interpretation of control charts. Collaborating closely with operators and quality engineers is essential to address these challenges and drive continuous improvement in process quality.

What is the difference between Statistical Process Control Spc vs Quality Control Technician?

AspectStatistical Process Control SpcQuality Control Technician
CertificationsASQ SPC Certification, Six SigmaASQ CQI Certification, Six Sigma
Work EnvironmentManufacturing, production lines, quality departmentsManufacturing plants, inspection areas, quality labs
Primary FocusMonitoring and analyzing process data to control qualityInspecting products, identifying defects, ensuring quality standards

While both roles focus on quality, Statistical Process Control Spc specialists analyze data to optimize processes, whereas Quality Control Technicians perform inspections and identify defects. SPC professionals develop statistical methods to prevent issues, while QC Technicians verify product quality at various stages.

Is statistical process control SPC still relevant today?

Statistical Process Control (SPC) remains a vital tool for SPC professionals to monitor and improve manufacturing processes by analyzing data and reducing variability. Its principles are widely used in quality management systems and are supported by software tools like control charts, making SPC a relevant skill for ensuring product consistency and compliance today.
More about Statistical Process Control SPC jobs

What job categories do people searching Statistical Process Control Spc jobs look for?

The top searched job categories for Statistical Process Control Spc jobs are:

Infographic showing various Statistical Process Control Spc job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Manufacturing Data & SPC Engineer

Sumter, SC • On-site

$65K - $83K/yr

Full-time

Re-posted 12 days ago


Job description

Job Description




JOB TITLE: Manufacturing Data & SPC Engineer

 



DATE PREPARED: 05/2026 DATE LAST REVISED

EXEMPT (Y/N): Yes 

DEPARTMENT: e-VAC Magnetics LLC – Engineering

REPORTS TO: Engineering Manager

LOCATION: Sumter, SC

 



JOB SUMMARY: The SPC / Data Engineer will play a critical role in establishing data-driven manufacturing processes for the permanent magnet production facility in Sumter, South Carolina. This position is responsible for developing and maintaining statistical process control (SPC) systems, manufacturing KPIs, data collection strategies, and production analytics. The role will work closely with Process Engineering, Operations, Quality, Automation Engineering, and IT to transform production data into actionable insights that improve process capability, yield, throughput, and overall manufacturing performance. The SPC / Data Engineer serves as a key enabler for structured root cause analysis and continuous improvement initiatives.



 

KEY RESPONSIBILITIES include but are not limited to the following. 



Statistical Process Control (SPC)

  • Develop and maintain SPC systems across manufacturing processes 
  • Support definition of critical process parameters and monitoring strategies 
  • Identify trends, variation, and process drift before product quality is affected 
  • Support implementation of control plans and reaction plans 


Manufacturing Data & Analytics

  • Develop manufacturing KPI dashboards and reporting tools 
  • Analyze production, quality, equipment, and process data 
  • Support data-driven decision making throughout manufacturing operations 
  • Establish standardized data collection and reporting practices 


Root Cause Analysis & Continuous Improvement

  • Support root cause investigations using statistical methods and data analysis 
  • Partner with Process Engineers to identify performance drivers and process limitations 
  • Develop analytical tools to support continuous improvement activities 
  • Quantify the effectiveness of corrective and preventive actions 
  • Participate in DMAIC, 8D, and structured problem-solving initiatives 


Systems & Data Integration

  • Support integration of manufacturing equipment, automation systems, MES, and quality systems 
  • Collaborate with Automation Engineering and IT to improve data availability and accuracy 
  • Develop automated reports and performance dashboards 
  • Ensure data integrity and consistency across manufacturing systems 


Reporting & Performance Management

  • Maintain weekly and monthly manufacturing KPI reporting 
  • Prepare management reports and performance summaries 
  • Develop trend analyses and performance forecasts 
  • Support engineering and operations reviews with fact-based data insights 


Documentation & Standards

  • Develop standards for data collection, KPI definitions, and reporting methodologies 
  • Maintain documentation related to SPC systems and analytical tools 
  • Support audit readiness through accurate process and performance records



EDUCATION AND EXPERIENCE

  • Recognized as degreed or holding an accredited certification in a relevant technical or engineering discipline
  • Minimum 3–7 years of experience in manufacturing analytics, SPC, process engineering, or industrial data analysis 
  • Experience working within high-volume manufacturing environments 
  • Experience implementing SPC methodologies and process capability studies 


Preferred

  • Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Data Analytics, Statistics, Engineering, Computer Science, or a related field 
  • Automotive manufacturing experience 
  • Experience with MES systems and manufacturing databases 
  • Experience with Power BI, Tableau, SQL, or similar reporting tools 
  • Experience with Lean Manufacturing and Six Sigma methodologies

 

 

REQUIREMENTS

  • Travel Requirements: 10% (as needed, domestic or international travel)


 


LANGUAGE SKILLS:

English, German beneficial 


 

SUPERVISORY RESPONSIBILITES

No formal direct reports


 

EMPLOYMENT AT WILL

This job description is intended as an outline of the duties of the position at VACUUMSCHMELZE and is subject to change by VAC from time to time. It is NOT a contract of employment. Employment at VAC is voluntarily entered into and is subject to termination by you or VAC AT WILL, with or without cause at any time, either party believes such action to be appropriate.