Jr. Data Platform Engineer

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.

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 Platform Engineer, you will be the pilot driving AI tools for infrastructure-as-code, automation, security, monitoring, and production support of our cloud data platform. 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.

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.
• Expertly prompt and iterate with AI coding tools to produce high-quality solutions.
• Provision and manage platform objects: databases, schemas, warehouses, roles, and access grants following least-privilege principles.
• Monitor platform health, query performance, job reliability, and consumption; investigate anomalies and drive them to root cause.
• Build and maintain cost visibility and optimization by right-sizing compute, finding runaway spend, and reporting on trends.
• 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 deliver a platform improvement, constantly circle back with the engineers and business partners who use it to confirm it solved the problem and rapidly iterate to improve it.
• Work in a team setting with other engineers or tackle a problem independently.

• 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.
• Basic understanding of cloud computing concepts (compute, storage, and least privilege).
• 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.

• 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 AWS or another cloud platform.
• Exposure to database administration concepts: users and roles, access, and performance tuning (coursework and projects count).
• Exposure to monitoring, logging, or observability tooling.
• Familiarity with data modeling and data warehousing concepts.

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.

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.