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Data Engineer Jobs in Rome, GA (NOW HIRING)

Data Engineer

White, GA · On-site

$101K - $121K/yr

Description SUMMARY The Data Engineer will support the data pipeline operations of solar product manufacturing lines, assisting with data gathering, processing, analysis, and visualization.

New

Help define engineering problems in the solar PV manufacturing process and contribute to analytical solution development in collaboration with cross-functional teams * Interface with engineers and ...

New

The Production Engineer will collect, validate, analyze, and organize data into meaningful reports for management decision-making. The duties include creating production schedules, conferring with ...

The Production Engineer will collect, validate, analyze, and organize data into meaningful reports for management decision-making. The duties include creating production schedules, conferring with ...

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of business data across the organization. This role is responsible for ensuring data accuracy, integrity ...

This role focuses primarily on field claim data analysis, KPI tracking, and coordination of ... The engineer collaborates with plant quality teams, legal, and leadership to ensure structured ...

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of business data across the organization. This role is responsible for ensuring data accuracy, integrity ...

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of business data across the organization. This role is responsible for ensuring data accuracy, integrity ...

This role focuses primarily on field claim data analysis, KPI tracking, and coordination of ... The engineer collaborates with plant quality teams, legal, and leadership to ensure structured ...

Description MODULE PROCESS ENGINEER Reports to: Process Manager Location: Cartersville , GA ... Ability to filter "Big Data" and interpret for data driven decision making. * Extensive experience ...

Description MODULE PROCESS ENGINEER Reports to: Process Manager Location: Cartersville, GA ... Ability to filter "Big Data" and interpret for data driven decision making. * Extensive experience ...

As a Junior Process Engineer in the manufacturing industry, you will play a critical role in ... Proficiency in data analysis and familiarity with statistical tools. * Strong communication skills ...

New

The Production Engineer will collect, validate, analyze, and organize data into meaningful reports for management decision making. Duties include creating production schedules, conferring with ...

The Production Engineer will collect, validate, analyze, and organize data into meaningful reports for management decision-making. The duties include creating production schedules, conferring with ...

Quality Engineer (Cell)

Cartersville, GA · On-site

$64K - $82K/yr

Description QUALITY ENGINEER SUMMARY The Quality Engineer is responsible for incoming inspections ... Collect and analyze quality-related data to monitor performance and identify areas for improvement.

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Data Engineer information

See Rome, GA salary details

$44.5K

$129.8K

$177.6K

How much do data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data engineer in Rome, GA is $129,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Rome, GA? The most popular types of Data Engineer jobs in Rome, GA are:
What job categories do people searching Data Engineer jobs in Rome, GA look for? The top searched job categories for Data Engineer jobs in Rome, GA are:
What cities near Rome, GA are hiring for Data Engineer jobs? Cities near Rome, GA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Rome, GA as of July 2026, with employment types broken down into 75% Full Time, 10% Part Time, 5% Contract, and 10% Nights. Highlights an 100% In-person job distribution, with an average salary of $129,776 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Qcells

White, GA • On-site

$101K - $121K/yr

Full-time

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


Qcells rating

6.1

Company rating: 6.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Description

SUMMARY

The Data Engineer will support the data pipeline operations of solar product manufacturing lines, assisting with data gathering, processing, analysis, and visualization.

Responsibilities

  • Assist in defining and extracting manufacturing data from multiple sources, and support integration into a target database, application, or file using efficient programming practices
  • Support the design and development of data visualizations to convey information to engineers and technicians
  • Develop and help maintain scripts for ETL process support, monitoring, and basic performance tuning
  • Collaborate with cross-functional teams to help identify and resolve data quality and operational issues
  • Maintain existing data pipelines and support enhancement requests for visualizations.

Required Qualifications

  • Bachelor's degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Management Information Systems, or a related field) with 2+ years of relevant experience
  • Familiarity with relational databases such as Oracle, Microsoft SQL or MySQL
  • Basic understanding of Object-Oriented Programming concepts
  • Strong analytical, problem-solving, and written/verbal communication skills
  • Ability to work independently and collaboratively in a team environment
  • Eagerness to learn and grow within a fast-paced manufacturing environment

Preferred Qualifications

  • Master’s degree in quantitative discipline(e.g. Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Chemical Engineering or a related field)
  • Exposure to the manufacturing industry, such as solar PV, display or semiconductors
  • Familiarity with data visualization tools; Spotfire, Tableau, Power BI, etc.
  • Exposure to big data technologies; Hadoop, Spark, Kafka, etc.
  • Exposure to cloud platforms; AWS, Azure, or GCP (e.g. coursework, certifications, or personal projects)

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