Manufacturing Data & SPC Engineer

e-VAC Magnetics LLC

Sumter, SC

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JOB DETAILS

SKILLS

8D, Analysis Skills, Automation Engineering, Automation Systems, Automotive Manufacturing, Computer Science, Continuous Improvement, Corrective Action, Data Analysis, Data Collection, Data Processing, Data Quality, Device Drivers, Documentation, English Language, Forecasting, German Language, Industrial Engineering, Information Technology & Information Systems, Lean Manufacturing, Lean Six Sigma, Manufacturing, Manufacturing Analysis, Manufacturing Engineering, Manufacturing Equipment, Manufacturing Execution Systems (MES), Manufacturing Operations, Manufacturing Systems, Manufacturing/Industrial Processes, Operational Audit, Operations Processes, Performance Analysis, Performance Management, Performance Metrics, Power BI, Problem Solving Skills, Process Capability, Process Engineering, Process Improvement, Quality Engineering, Reporting Dashboards, Reporting Skills, Root Cause Analysis, SQL (Structured Query Language), Six Sigma DMAIC, Statistical Process Control, Statistics, Strategic Analysis, Structured Analysis, System Integration (SI), Systems Analysis, Systems Maintenance, Tableau, Technical Support, Trend Analysis, Willing to Travel

LOCATION

Sumter, SC

POSTED

2 days ago

Job Description

JOB TITLE: Manufacturing Data & SPC Engineer

DATE PREPARED: 05/2026 DATE LAST REVISED:

EXEMPT (Y/N): Yes

DEPARTMENT: e-VAC MagneticsLLC - 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.

About the Company

e-VAC Magnetics LLC

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