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Data Engineer Jobs in Greenville, SC (NOW HIRING)

Fuyao

Data Control Engineer

Fountain Inn, SC · On-site

$60 - $80/hr

Job Profile Job Title Data Control Engineer Department Process Development Direct Supervisor Process Manager Direct Subordinates None II. Job Summary Ensure timely distribution and collection of ...

New

Pwc

AI Engineer

Spartanburg, SC · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

World Finance

Senior Analytics Engineer

Greenville, SC · On-site

$98K - $134K/yr

We're adding a dedicated engineer to our Operations Analytics team to close a specific gap: the ... You'll build and own the analytics data layer - curated models, marts, and metrics, including ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Greenville, SC

Data Engineer information

See Greenville, SC salary details

$39.1K

$114.1K

$156.1K

How much do data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer in Greenville, SC is $114,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $121,000.00 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.
More about Data Engineer jobs

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

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

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The top searched job categories for Data Engineer jobs in Greenville, SC are:

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Cities near Greenville, SC with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Greenville, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $114,112 per year, or $54.9 per hour.

Software Engineer Co-Op Spring 2027 (AI/Data)

BMW Group

Greenville, SC • On-site

$107K - $129K/yr

Full-time

Re-posted 8 days ago

BMW Group rating

7.7

Company rating: 7.7 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

10th of 45 rated automakers

Job description

Job Title: Software Engineer Co-Op Spring 2027 (AI/Data)
Posting Start Date: 7/31/26
Job Location (Long):
Greenville, South Carolina United States
Job Description:
Description:
  • This position will work with Data Scientists and Data Engineers for the production implementation of multiple use cases for our Big Data Cluster on-prem as well as our Big Data cloud solution.
  • This position also works closely with AI tools in both execution and creation of new use cases.
  • This position also can work with our Visualisation platforms using both the data and AI tooling to create visuals for the business.
  • The qualified intern should expect to contribute & improve in the following functions:
  • Support the creation and maintenance of data pipeline architecture.
  • Assist in the assembly of large complex data sets that meet functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data deliver, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Keep our data separate and secure across different business organizations.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Communicate with other team members and customers with tools such as Outlook, skype, and teams.
  • Update and track tasks with tools such as Jira and confluence.
  • Migration from On-Prem to Cloud Data Hub: The migration to Cloud is planned for Q2 2020. This involves, data ingestion into cloud using terraform scripts, glue catalog, glue jobs, depersonalization APIs and creating views in cloud for end user consumption.
  • HR Use Cases: Several data assets are required to be ingested into cloud, the data transformation activities are required to prep the data for reporting. The reports must be integrated with the Cloud Data Hub.

Qualifications:
  • Possess a minimum cumulative GPA of 3.0 (not just in major)
  • Have enrolled student status at an accredited four-year college or university in the United States.
  • Completed at least 30 credit hours at time of application.
  • Ability to work full-time on-site (40 hours / week).
  • Transfer students must have a GPA from current university.
  • MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT
  • Complete and pass a substance abuse test before the work term.
  • THE WORK TERM DATES ARE 1/11/27 to 5/14/27 .
  • Must be an enrolled student during all three rotations.

BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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