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Meta Data Center Jobs in Sumter, SC (NOW HIRING)

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Meta Data Center information

See Sumter, SC salary details

$45.9K

$131.3K

$175.4K

How much do meta data center jobs pay per year?

As of Aug 26, 2026, the average yearly pay for meta data center in Sumter, SC is $131,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $174,600.00 per year, depending on experience, location, and employer.

What is a Meta Data Center?

A Meta Data Center job involves working at one of Meta’s (formerly Facebook) large-scale data centers that support its global network and services. Employees in these roles manage, maintain, and optimize the physical infrastructure, including servers, networking equipment, and cooling systems. Positions range from data center technicians and network engineers to facility operations and security personnel. These jobs require technical expertise, problem-solving skills, and the ability to work in a fast-paced, mission-critical environment.

What are the typical daily responsibilities of someone working in a Meta Data Center role?

Daily responsibilities in a Meta Data Center position usually include monitoring server and network health, performing routine hardware maintenance, and responding quickly to outages or performance issues. Team members also assist with the deployment of new equipment, handle troubleshooting tasks, and ensure that all systems adhere to strict security and operational standards. Collaboration with engineers, facility managers, and security teams is common to ensure seamless data center operations. The environment is typically fast-paced, structured around shift work to maintain 24/7 coverage, providing valuable hands-on experience with cutting-edge technology and large-scale infrastructure.

What are the key skills and qualifications needed to thrive in the Meta Data Center position, and why are they important?

To thrive in a Meta Data Center role, you need strong technical knowledge of data center infrastructure, networking, and server hardware, often complemented by a relevant degree or certifications such as CompTIA Server+ or Cisco CCNA. Familiarity with monitoring tools, data center management platforms, and virtualization technologies is typically required. Attention to detail, strong problem-solving abilities, and the capacity to work well under pressure are valued soft skills in this position. These skills are critical for efficiently maintaining uptime, troubleshooting issues, and supporting the core operations of Meta's global data centers.

What cities near Sumter, SC are hiring for Meta Data Center jobs?

Cities near Sumter, SC with the most Meta Data Center job openings:

Meta Data Center jobs near you
Infographic showing various Meta Data Center job openings in Sumter, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $131,325 per year, or $63.1 per hour.

Data Analytics - Technical Field Data

Integrative Staffing Group Job Board

Columbia, SC • On-site

$120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Analytics Specialist
Columbia, SC
Direct Placement
Up to $120k yearly
Paid Relocation Available
As a Field Monitoring Quality Specialist, you will act as a strategic partner, diving deep into vehicle and field data to identify issues that may impact customer experience and vehicle performance. Your insights will enable early detection and proactive resolution of potential concerns, helping improve product quality while strengthening customer trust and brand reputation
“In this critical role, you will help, design and implement solutions to monitor and integrate data from diverse communication channels including customer surveys, social platforms, and connected vehicle telemetry to create a comprehensive view of field performance”. We are looking for someone who thrives in complex, high-volume data environments and can uncover meaningful insights from ambiguity.
Partnering closely with engineering teams, you will play a key role in identifying product issues, guiding investigations, and ensuring teams focus on the most critical data to accelerate resolution and protect both our customers and brand reputation. Your work will have a direct impact on product development, system engineering, and the resolution of complex warranty and quality issues across our vehicle portfolio.
Key Responsibilities:
Field Issue Detection & Resolution
  • Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
  • Identify patterns in fleet data to enable early detection of emerging quality issues
  • Drive faster resolution through data-driven insights and cross-functional collaboration
Data Strategy & Analytics:
  • Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
  • Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
  • Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues
AI/ML & Advanced Analytics
  • Develop and deploy AI/ML models for:
  • Anomaly detection
  • Failure prediction
  • Sentiment analysis
  • Leverage analytics to improve customer satisfaction, reliability, and warranty performance
Data Management & Integration
  • Act as the bridge between software-defined vehicle data policies and real-world engineering insights
  • Ensure data pipelines are robust, accurate, and actionable
  • Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability
Cross-Functional Collaboration
  • Work closely with:
  • Vehicle engineering (hardware & software)
  • Connected vehicle and app development teams
  • Service, warranty, and customer support organizations
  • Enhance data collection capabilities, user interfaces, and reporting standards across systems
Customer Insight & Voice of Customer (VoC)
  • Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
  • Design and implement customer surveys and feedback frameworks to assess product satisfaction
  • Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends
Qualifications:
  • Education/Certifications: A bachelor’s degree in engineering, computer science and/or data science.
  • Years of Experience: 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment. Relevant experience in other sectors will also be considered.
  • Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments is preferred.
  • Experience from non-automotive would also be acceptable with the ability to absorb meta data to perform root cause analysis.
  • Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms)
  • Experience in running Java Script, Python, SQL, HTML/CSS
  • Experience in deploying AI-based solutions and tools for data processing. Ability to build full-scale AI-powered products from scratch using available open AI
  • Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics
  • Understand data warehouse systems like Basic AWS or Azure data services or Databricks. Ability to support enterprise projects on as need basis.
  • Ability to work across functions and translate data insights into engineering actions
  • Experience with PBI and PowerApps, building app own-made solutions for data analytics.
  • Strong interpersonal skills, with experience working in multicultural and team-oriented environments.
We are an EOE.
If interested, please contact
Jeena Swope
412-264-4140 ext. 212 / jswope@isgwork.com