Intern - Data Engineer

GM Financial•Arlington, TX

7d•Hybrid

About The Position

GM Financial is the wholly owned captive finance subsidiary of General Motors, headquartered in Fort Worth, and a global provider of auto finance solutions operating in North America, South America, and the Asia Pacific region. The company offers retail financing and lease programs to customers, as well as commercial lending products to auto dealers. The Data Engineer Intern gains hands-on experience supporting code debugging, troubleshooting, and solution development to improve system performance and reliability. The role collaborates with team members on peer code reviews and technical problem-solving while learning about emerging technologies, system operations, and technology releases. The 11-week internship program runs from May 26 to August 6, 2027. It provides executive and peer networking opportunities, independent and team project experiences, philanthropic activities, career development, and the opportunity to apply for full-time career positions. The role offers competitive pay and a flexible hybrid work environment, with three days a week in the office. GM Financial does not provide immigration-related sponsorship for this role.

Requirements

Strong written and verbal communication skills; the role requires giving presentations and communicating with business leaders.
Strong analytical, quantitative, problem-solving, and conceptual skills.
Detail-oriented, with the ability to prioritize tasks and meet deadlines.
Ability to work independently or as part of a team.
Current enrollment in a bachelor's degree program or higher at an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, or Statistics, with at least one semester remaining when the internship begins.
Minimum overall GPA of 3.0 on a 4-point scale.

Nice To Haves

One to two years of experience with programming languages such as Java, C++, or Python.
One to two years of experience with version control systems such as GitHub, VSA, or SVN.
Previous internship experience.
Junior or senior classification.
Experience with AI-assisted software development or automation.
Knowledge of prompting techniques to improve output quality.
Awareness of emerging generative AI capabilities and limitations.

Responsibilities

Debug computer code to correct errors and improve performance.
Solve problems and create solutions.
Participate in peer code reviews to improve the quality of code written by team members.
Proactively learn about new technologies.
Communicate and troubleshoot regularly with team members.
Review documentation about technology releases and project updates to understand system operations.