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Exempt Data Engineer Jobs in Sumter, SC (NOW HIRING)

Scout Motors

Specialist, TOE Energy System

Columbia, SC · On-site

$110K/yr

What you'll do As a member of the Technical Office Engineering (TOE), you will contribute within ... Proficiency with vehicle data collection tools and diagnostics * Competence in thermal analysis ...

Eaton

Switchboard Controls Technician

Sumter, SC · On-site

$59K - $86K/yr

We're hiring a Switchboard Controls Engineer in Sumter, SC to design, program, test, and support ... Active-Duty Military Service member candidates are exempt from the geographical area limitation.

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All JobsExempt Data Engineer JobsExempt Data Engineer Jobs in Sumter, SC

Exempt Data Engineer information

See Sumter, SC salary details

$39.6K

$115.5K

$158.1K

How much do exempt data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for exempt data engineer in Sumter, SC is $115,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $122,500.00 per year, depending on experience, location, and employer.

What is an exempt data engineer?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an exempt data engineer?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What are some common challenges faced by exempt data engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting analytics and machine learning initiatives. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.

What are the most commonly searched types of Data Engineer jobs in Sumter, SC?

The most popular types of Data Engineer jobs in Sumter, SC are:

Exempt Data Engineer jobs near you

Manufacturing Data & SPC Engineer

VAC Magnetics LLC

Sumter, SC • On-site

Full-time

Re-posted 7 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.