Manufacturing Data & SPC Engineer

e-VAC Magnetics LLC

$80K — $95K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant technical or engineering discipline (preferred)
  • 3-7 years of experience in manufacturing analytics or SPC
  • Experience in high-volume manufacturing environments
  • Demonstrated ability to implement SPC methodologies
  • Familiarity with reporting tools like Power BI or Tableau

Responsibilities

  • Develop and maintain SPC systems across manufacturing processes
  • Analyze production data to drive decision-making
  • Identify process variation and support control strategies
  • Collaborate with engineering and IT for data integration
  • Prepare management reports summarizing performance metrics

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunity to influence manufacturing performance
  • Chance to work with advanced data analytics technologies
  • Engagement in continuous improvement initiatives
  • Travel opportunities for professional growth
Full 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

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