Job description

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Designs and builds end-to-end data pipelines across batch and streaming architectures that process structured, semi-structured, and unstructured data with a strong emphasis on data quality, scalability, reliability, and observability. Partner with stakeholders to understand data requirements and implement effective data integration strategies. Write unit tests and validate data against acceptance criteria. Apply and advocate for team coding, documentation, and testing standards. Conduct impact analysis to assess changes across applications. Develop a strong understanding of business processes to align technical solutions with business needs. Experiment with new ideas, validate assumptions, and recommend solutions. Participate in code reviews and communicate application changes. Document code and projects for maintainability and support. This includes reading, writing, and reviewing design documents. Troubleshoot production issues and propose effective solutions. Engage in continuous learning to improve design, code quality, and domain knowledge. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent work experience. Minimum 2 years of data engineering experience Solid grasp of programming (Python, SQL, Pyspark, etc), data modeling, and database management (SQL/NoSQL). Experience designing scalable batch and/or streaming data pipelines. Strong understanding of data modeling. Familiarity with data governance, lineage, and quality frameworks. Fluency with AI tools and ADLC Working knowledge of Databricks Experience with Apache Spark Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred: Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, MSK). Proficient in CI/CD pipelines, automated testing, code quality enforcement, and environment management for production-grade data systems. Experience in orchestration and transformation frameworks such as Airflow, dbt, and Dagster, along with cloud-native platforms like Databricks. Knowledge and Skills: Operates with full autonomy on large-scale, complex data projects. Go to for a data domain. Anticipates edge cases, performance bottlenecks, and data quality risks Ability to challenge the status quo and contribute innovative solutions. Strong collaboration skills and openness to diverse perspectives. Ability to connect technical work to business value. Strong communication skills, both verbal and written, across all levels. Target Compensation: This position offers a competitive base salary, with a range of $126,723 - $177,413. This position is eligible for an annual variable incentive of cash and equity, between 7.5 - 15% of base salary. Actional amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP #zip #LI-Hybrid Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice ! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S . We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing an inclusive environment for all. We are proud to be an Equal Opportunity Employer and value a culturally diverse workforce. We believe in ensuring all team members demonstrate mutual respect for one another. All qualified applicants will receive consideration for employment without regard to protected characteristics like age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Requirements

Must-haves

Partner with stakeholders to understand data requirements and implement effective data integration strategies.
Write unit tests and validate data against acceptance criteria.
Apply and advocate for team coding, documentation, and testing standards.
Conduct impact analysis to assess changes across applications.
Develop a strong understanding of business processes to align technical solutions with business needs.
Experiment with new ideas, validate assumptions, and recommend solutions.
Participate in code reviews and communicate application changes.
Document code and projects for maintainability and support. This includes reading, writing, and reviewing design documents.
Troubleshoot production issues and propose effective solutions.
Engage in continuous learning to improve design, code quality, and domain knowledge.
Competencies: The following items detail how you will be successful in this role.
Bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent work experience.
Minimum 2 years of data engineering experience
Solid grasp of programming (Python, SQL, Pyspark, etc), data modeling, and database management (SQL/NoSQL).
Experience designing scalable batch and/or streaming data pipelines.
Strong understanding of data modeling.
Familiarity with data governance, lineage, and quality frameworks.
Fluency with AI tools and ADLC
Working knowledge of Databricks
Experience with Apache Spark
Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California.

Nice-to-haves

Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, MSK).
Proficient in CI/CD pipelines, automated testing, code quality enforcement, and environment management for production-grade data systems.
Experience in orchestration and transformation frameworks such as Airflow, dbt, and Dagster, along with cloud-native platforms like Databricks.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsqlawsci/cdgo

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave