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Co Op Data Engineer Jobs in Boiling Springs, SC (NOW HIRING)

AFL

Engineering Co-Op - Starting Fall 2026

Duncan, SC · On-site

$22/hr

... engineer or manager. The Engineering co-ops will also be supported with monthly meetings and ... Analyze manufacturing data, process flows, and material routings to develop improvement ...

BMW

Paint Shop Digitalization Co-op

Spartanburg, SC · On-site

The paint shop digitalization co-op will engage in problem solving activities related to quality ... Proficiency in data engineering and analysis utilizing tools such as Python, SQL, or similar

BMW Group

Acoustics Co-Op (Spring 2027)

Greer, SC · On-site

$14.50 - $18.50/hr

Job Title: Acoustics Co-Op (Spring 2027) Posting Start Date: 7/31/26 Job Location (Long ... engineers with measurements and analysis. * Gain experience with data acquisition systems and ...

BMW Group

Software Engineering Co-op

Spartanburg, SC · On-site

Software Engineering Co-op Posting Start Date: 7/31/26 Job Location (Long): Spartanburg, South ... Currently, the team leverages machine learning for improved data warehousing in preparation for ...

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Co Op Data Engineer information

See Boiling Springs, SC salary details

$39K

$113.7K

$155.5K

How much do co op data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for co op data engineer in Boiling Springs, SC is $113,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $120,500.00 per year, depending on experience, location, and employer.

What is a co op data engineer?

A Co-Op Data Engineer job is a temporary, internship-style position where students or early-career professionals gain hands-on experience in data engineering. Co-ops typically work with data pipelines, ETL processes, and databases to help collect, process, and analyze data efficiently. They collaborate with data teams to optimize data infrastructure and may use tools like SQL, Python, and cloud platforms. The role provides exposure to real-world data challenges, enabling participants to build technical skills and industry experience.

What types of projects or tasks does a co op data engineer typically work on during their placement?

Co Op Data Engineers often assist with data pipeline development, data cleaning, and supporting the implementation of ETL (Extract, Transform, Load) processes under the guidance of experienced engineers. They may be tasked with troubleshooting data issues, writing and optimizing SQL queries, or helping to build data visualizations for business stakeholders. In many organizations, Co Op Data Engineers also participate in team meetings, collaborate with data analysts or software engineers, and contribute to ongoing projects involving large datasets. This hands-on experience provides valuable exposure to real industry challenges, helps build technical proficiency, and allows for networking opportunities within the data engineering field.

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

To thrive as a Co Op Data Engineer, you need a solid foundation in computer science fundamentals, data structures, programming (typically Python, SQL, or Java), and analytical thinking, often supported by progress toward a related degree. Familiarity with data management tools, database systems (like MySQL or PostgreSQL), and exposure to ETL processes or cloud platforms (such as AWS or Azure) is highly beneficial. Strong problem-solving skills, eagerness to learn, attention to detail, and effective communication enhance your ability to contribute to a team-oriented environment. These skills and qualities ensure you can adapt quickly, collaborate with professionals, and deliver reliable data solutions in a fast-paced tech setting.

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

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

What job categories do people searching Co Op Data Engineer jobs in Boiling Springs, SC look for?

The top searched job categories for Co Op Data Engineer jobs in Boiling Springs, SC are:

What cities near Boiling Springs, SC are hiring for Co Op Data Engineer jobs?

Cities near Boiling Springs, SC with the most Co Op Data Engineer job openings:

Co Op Data Engineer jobs near you
Infographic showing various Co Op Data Engineer job openings in Boiling Springs, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,657 per year, or $54.6 per hour.

Paint Shop Digitalization Co-op

BMW Group

Spartanburg, SC • On-site

Full-time

Re-posted yesterday

BMW Group rating

7.7

Company rating: 7.7 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

9th of 45 rated automakers

Job description

Job Title: Paint Shop Digitalization Co-op
Posting Start Date: 7/31/26
Job Location (Long):
Spartanburg, South Carolina United States
Job Description:
Description:
Support Paint Shop quality systems that impact pre-paint finish, corrosion, application, finish, paint repair, and new model launch areas through the development of process improvements, innovations, and software tools. The paint shop digitalization co-op will engage in problem solving activities related to quality and process flow topics. The paint shop digitalization co-op will work with department management teams to communicate existing concepts to improve transparency of the quality landscape and vehicle / information flow management. The paint shop digitalization co-op will investigate the next generation of flow concepts, software tools, and assess feasibility and potential benefits. Performs other duties as assigned by management.
Assignment duties and possible projects:
  • Quality, Data Analytics, Problem Solving: Engage in problem solving in the department related to KPI impacts and quality.
  • Develop new ways to display operations / quality data that facilitates a faster and clearer path from problem recognition to solution.
  • Participate in problem solving activities in department to improve KPI's and develop new methods and tools.
  • Develop new mobile software solutions to streamline the defect documentation process and other quality related processes.
  • Develop or enhance tools to improve visibility of paint shop quality process adherence.
  • Interface with existing plant quality management IT systems.
  • Suggest and test new ideas and technology.
  • Create innovative dashboards to quantify, understand, and visualize all the intricacies of paint shop departments from a quality perspective.

Qualifications:
  • Computer Science, Computer Information Systems, Management Information Systems, Data Science / Analytics, or other related degrees
  • Proficiency in data engineering and analysis utilizing tools such as Python, SQL, or similar
  • Preferred experience with data visualization tools such as Power BI, Tableau, Quicksight, etc.
  • On-premises / Cloud Database management preferred.
  • Application development / design (Oracle APEX / Power Apps / Other low-code-no-code platforms) preferred.
  • Microsoft Office Suite experience
  • Agile Working Methodology
  • Strong analytical and problem-solving skills with a keen attention to detail
  • Effective communication skills.
  • 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 January 11th - May 14th, 2027.
  • 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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