Software Engineer II, Data

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.

As a Software Engineer II, Data, you will design and build scalable, reliable, and observable data models and data pipelines across batch and streaming architectures, supporting structured, semi-structured, and unstructured data.

Outcomes and Activities:

• This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required.  However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member
• 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

Preferred:

• Experience with Apache Spark.
• 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: A competitive base salary range from $105,603– $152,884. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. 

Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. 

INDENGLP

#zip

#LI-Remote

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!

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.