Jr. Data Engineer | 2027 Start

American Credit Acceptance, LLC; Spartanburg (SC); On-site; USD 65,000 - 90,000; Full time

Job summary

American Credit Acceptance, LLC is seeking an entry-level Data Engineer to join our AI-first engineering team in 2027. You will act as the pilot for AI-generated data solutions, ensuring correctness, security, and performance, while collaborating with business partners to translate requirements into effective prompts and pipelines.

The role emphasizes learning our business, leveraging AI coding tools, and contributing to data engineering tasks ranging from data pipelines to quality checks.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related discipline.
• 0-2 years of professional experience (internships and academic or personal projects count).
• Strong SQL skills and working knowledge of relational databases.
• Ability to quickly read, understand, and debug Python code.
• Working knowledge of Git and pull-request-based workflows.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to clearly explain technical work, reasoning, and trade-offs, verbally and in writing, to engineers and business partners.

Responsibilities

• Prompt, review, debug, and validate AI-generated data pipelines, transformations, and code with minimal supervision.
• Collaborate with business partners to turn requirements into precise prompts and acceptance criteria.
• Prompt and maintain automated tests and data quality checks across pipelines.
• Identify bugs, security issues, performance problems, data quality issues, or architectural mismatches in AI output and fix or re-prompt as needed.
• Launch solutions and iterate with the business to ensure impact and continual improvement.
• Work in a team setting with other engineers or independently.

Skills

SQL

Python

Git workflows

Analytical skills

Problem solving

Communication

Education

Bachelor's degree in Computer Science

Tools

Snowflake

AI coding tools

ETL/ELT

AWS

Job description

Description

Launch your career with us!We'relooking for students graduating between Fall 2026 and Summer 2027 who are ready to jump in and start full-time in 2027.

American Credit Acceptance will not provide sponsorship for employment-based visas or immigration benefits for this position. Applicants must be legally authorized to work in the United States without requiring immigration sponsorship now or in the future.

Summary

Are you obsessed with solving business problems that have a real, positive impact on our customers and company? We are an AI-first engineering shop, leveraging AI tools to solve business problems. As an entry-level Data Engineer, you will be the pilot driving AI tools for code generation, peer reviews, security scanning, quality assurance, and production support. Your primary responsibility is not to hand-write code all day, but to serve as the skilled human-in-the-cockpit ensuring AI-generated data solutions are correct, secure, and performant, and solve the most impactful business problems.

Essential Functions

Reasonable accommodation may be provided for individuals with disabilities to perform these essential functions.

• Priority #1 is knowing our business. You will be provided with extensive training on our business and then be expected to take the initiative to maintain and grow this knowledge.
• You will then use your business knowledge to unleash your internal entrepreneur to identify, understand, and solve business problems.
• You will solve business problems by building AI-generated data solutions:
• Collaborate closely with business partners to turn requirements into precise prompts and acceptance criteria.
• Prompt, review, debug, and validate AI-generated data pipelines, transformations, and code with minimal supervision.
• Expertly prompt and iterate with AI coding tools to produce high-quality solutions.
• Perform code reviews on AI-generated and human-written pull requests.
• Prompt and maintain automated tests and data quality checks across pipelines.
• Identify bugs, security issues, performance problems, data quality issues, or architectural mismatches in AI output and either fix them or re-prompt effectively.
• After you launch the solution, constantly circle back with the business to confirm the solution is solving the problem and rapidly iterate to improve its effectiveness.
• Work in a team setting with other engineers or tackle a problem independently.

Must-Have Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related discipline.
• 0-2 years of professional experience (internships and academic or personal projects count).
• Strong SQL skills and working knowledge of relational databases.
• Ability to quickly read, understand, and debug Python code.
• Working knowledge of Git and pull-request-based workflows.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to clearly explain technical work, reasoning, and trade-offs, verbally and in writing, to engineers and business partners.

Preferred Qualifications

• Hands-on experience with AI coding assistants and prompt-driven development (professional, internship, academic, or personal projects).
• Exposure to cloud data warehouses (Snowflake preferred).
• Exposure to building data pipelines or ETL/ELT processes (coursework and projects count).
• Familiarity with data modeling and data warehousing concepts.
• Exposure to AWS or another cloud platform.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

EEO Statement

ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

California Privacy Notice

As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.