Software Engineer II, Data

Credit Acceptance is an award-winning company recognized for its workplace culture and success in the used car finance industry. As a Software Engineer II, you will design, build, and maintain data pipelines and models, collaborating with team members to deliver effective data solutions that support business needs.

Responsibilities:

• Develop and maintain data pipelines for batch and streaming architectures, focusing on data quality, reliability, and scalability
• Collaborate with team members to implement data integration strategies based on stakeholder requirements
• Design data solutions for end users based on happy path analysis to ensure each type of user is consuming data in a meaningful and insightful way
• Write unit tests and validate software to meet acceptance criteria
• Follow team coding, documentation, and testing standards
• Participate in impact analysis for changes across applications
• Learn business processes to help align technical solutions with business needs
• Experiment with new ideas and technologies under guidance from senior engineers
• Participate in code reviews and communicate application changes
• Document code and projects for maintainability and support
• Troubleshoot production issues and assist in proposing solutions
• Contribute to sprint commitments and participate in Agile practices
• Engage in continuous learning to improve technical and domain knowledge

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or related field; or equivalent work experience
• 2+ years of software engineering experience, preferably with exposure to cloud data platforms
• Proficiency in programming (Python, SQL, etc.), data modeling, and database management (SQL/NoSQL)
• Ability to process structured, semi-structured (e.g., JSON, Parquet), and unstructured data (e.g., logs, text)
• Experience with Agile/SCRUM or Waterfall methodologies
• Familiarity with designing batch and streaming data pipelines
• Understanding of data modeling and schema design principles
• Awareness of data governance and quality frameworks
• Experience working on enterprise-class applications is a plus
• Experience with Apache Spark or similar technologies
• Exposure to Databricks, AWS data services, or other cloud platforms
• Familiarity with CI/CD pipelines, automated testing, and code quality tools
• Experience with orchestration frameworks such as Airflow or dbt
• Financial services or FinTech industry experience is a plus
• Power BI, or similar BI tools, with experience in semantic layer creation