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Data Engineer Jobs in Covington, GA (NOW HIRING)

SPC Data Control Engineer

Covington, GA ยท On-site

$85K - $120K/yr

Position: SPC Data Control Engineer Location: COVINGTON, GA JOB SUMMARY DUTIES/RESPONSIBILITIES: * SPC System Design and Implementation * Process Monitoring and Control * Data Collection and ...

SPC Data Control Engineer

Covington, GA ยท On-site

$85K - $120K/yr

Position: SPC Data Control Engineer Location: COVINGTON, GA JOB SUMMARY DUTIES/RESPONSIBILITIES: * SPC System Design and Implementation * Process Monitoring and Control * Data Collection and ...

Position: SPC Data Control Engineer Location: COVINGTON, GA JOB SUMMARY DUTIES/RESPONSIBILITIES: * SPC System Design and Implementation * Process Monitoring and Control * Data Collection and ...

This role will develop scalable data pipelines, create governed and AI-ready datasets, and partner ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

This role will develop scalable data pipelines, create governed and AI-ready datasets, and partner ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

This role will develop scalable data pipelines, create governed and AI-ready datasets, and partner ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data centers operate across North ...

Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data centers operate across North ...

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Data Engineer information

See Covington, GA salary details

$37.8K

$110.1K

$150.6K

How much do data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data engineer in Covington, GA is $110,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $116,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Covington, GA?

The most popular types of Data Engineer jobs in Covington, GA are:

What are popular job titles related to Data Engineer jobs in Covington, GA?

For Data Engineer jobs in Covington, GA, the most frequently searched job titles are:

What cities near Covington, GA are hiring for Data Engineer jobs?

Cities near Covington, GA with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Covington, GA as of August 2026, with employment types broken down into 83% Full Time, 8% Temporary, and 9% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $110,059 per year, or $52.9 per hour.

SPC Data Control Engineer

Covington, GA โ€ข On-site

$85K - $120K/yr

Full-time

Re-posted 27 days ago


Job description

Company Description

Absolics Inc. is the world's first glass substrate manufacturer and a leader in advanced packaging technologies. The company provides scalable solutions tailored for businesses in high-performance computing. Absolics pioneers innovative manufacturing techniques to support cutting-edge semiconductor advancements. Located in Covington, GA, the company is positioned at the forefront of the technology industry.

Position: SPC Data Control Engineer

Location: COVINGTON, GA

JOB SUMMARY

DUTIES/RESPONSIBILITIES:

  • SPC System Design and Implementation
  • Process Monitoring and Control
  • Data Collection and Management
  • Data Analysis and Interpretation

REQUIREMENTS:

  • Excellent analytical and problem-solving skills
  • Solid understanding of quality management principles, root cause analysis, and corrective action processes
  • Ability to work well under pressure to meet deadlines
  • Ability to analyze data
  • Ability to design and implement process SPC Design

QUALITIFICATIONS:

  • Must be legally permitted to work in the United States
  • Strong analytical skills and attention to detail, with the ability to interpret data and trends to drive informed decisions
  • Proficiency in using quality management software and tools, as well as Microsoft Office applications
  • Previous experience as SPC personnel from Samsung semiconductor or SK Hynix QE/QC with an ability to analyze data

EDUCATION:

  • Bachelor's degree in Industrial Engineering/Data Science

EXPERIENCE:

  • 3+ years of experience required in semiconductor packaging, substrate development, or processing engineering
  • Experience in Semiconductor, PCB, or OSAT industries is a plus

SALARY:

  • $85,000 – $120,000

BENEFIT:

  • 401K 6% matching (NO vesting period)
  • Healthcare 100% support (Health, Dental, Vision)
  • Life, STD, LTD 100 % support
  • Cell phone allowance
  • PTO and self-development