Intern - Data Engineer
Role Overview
Are you excited about innovation, entrepreneurship and solving complex business problems? Then we are looking for you! Gain hands-on experience in data engineering by supporting code debugging, troubleshooting, and solution development to improve system performance and reliability. This role collaborates with team members through peer code reviews and technical problem-solving while building knowledge of emerging technologies, system operations, and the latest technology releases.
In this role you will:
Debugging computer code to correct errors and improve performance
Problem solving and solution creation
Participating in peer code reviews to improve the quality of code written by team members
Proactively learning about new technologies
Regular communication and troubleshooting with team members
Reviewing documentation about the latest technology releases and project updates to ensure understanding of system operations
Key Skills for This Role
Full Job Posting
Qualifications
- What makes you an ideal candidate?
- Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders.
- Strong analytical, quantitative, problem solving, and conceptual skills required.
- 1-2 years of experience with programming languages (Java/C++/Python) preferred
- 1-2 years of experience with Version Control Systems (GitHub, VSA, SVN) preferred
- Must be detail oriented and able to prioritize tasks to meet deadlines.
- Must be able to work independently or in a team setting.
- Previous internships are considered a plus.
- AI Skills Preferred:
- Experience with AI assisted software development or automation
- Knowledge of prompting techniques to improve output quality
- Awareness of emerging GenAI capabilities and limitations
- Experience & Education
- Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship.
- Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA.
- Junior or Senior classification preferred.
- Our program offers
- 11 weeks of work experience (May 26 - August 6, 2027)
- Executive and peer networking opportunities
- Independent and team project experiences
- Philanthropic activities
- Career development
- Opportunity to apply for full-time career positions
- Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Compensation: Competitive pay Work Life Balance: Flexible hybrid work environment, 3-days a week in office
- GM FINANCIAL DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM FINANCIAL AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, et
- #GMFJobs #LI-Hybrid #LI-NY1
- Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
- Compensation: Competitive pay
- Work Life Balance: Flexible hybrid work environment, 3-days a week in office
About the Role
Are you excited about innovation, entrepreneurship and solving complex business problems? Then we are looking for you! Gain hands-on experience in data engineering by supporting code debugging, troubleshooting, and solution development to improve system performance and reliability. This role collaborates with team members through peer code reviews and technical problem-solving while building knowledge of emerging technologies, system operations, and the latest technology releases.
In this role you will:
Debugging computer code to correct errors and improve performance
Problem solving and solution creation
Participating in peer code reviews to improve the quality of code written by team members
Proactively learning about new technologies
Regular communication and troubleshooting with team members
Reviewing documentation about the latest technology releases and project updates to ensure understanding of system operations
Preferred Qualifications
- 1-2 years of experience with programming languages (Java/C++/Python) preferred
- 1-2 years of experience with Version Control Systems (GitHub, VSA, SVN) preferred
- Previous internships are considered a plus.
- Junior or Senior classification preferred.
Responsibilities
- Are you excited about innovation, entrepreneurship and solving complex business problems? Then we are looking for you! Gain hands-on experience in data engineering by supporting code debugging, troubleshooting, and solution development to improve system performance and reliability. This role collaborates with team members through peer code reviews and technical problem-solving while building knowledge of emerging technologies, system operations, and the latest technology releases.
- Debugging computer code to correct errors and improve performance
- Problem solving and solution creation
- Participating in peer code reviews to improve the quality of code written by team members
- Proactively learning about new technologies
- Regular communication and troubleshooting with team members
- Reviewing documentation about the latest technology releases and project updates to ensure understanding of system operations
About GM Financial Canada
Captive automotive finance subsidiary of General Motors.
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