Software Engineer II, Data

Credit Acceptance is a leading provider of used and new car financing across the country, supported by engineering and analytics teams that develop technology to optimize business success. The Software Engineer II, Data designs and builds scalable, reliable, and observable data models and pipelines across batch and streaming architectures. The role also involves data integration, testing, documentation, code reviews, production troubleshooting, and collaboration with business stakeholders.

Responsibilities:

• 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
• Remain compliant with our policies processes and legal guidelines
• All other duties as assigned
• Attendance as required by department

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
• 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
• Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent
• 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