Credit Acceptance
Software Engineer II, Data
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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.
Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work-life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!
Role: Software Engineer II, Data
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
- Works 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.
- Partners with stakeholders to understand data requirements and implement effective data integration strategies.
- Writes unit tests and validates data against acceptance criteria.
- Applies and advocates for team coding, documentation, and testing standards.
- Conducts impact analysis to assess changes across applications.
- Develops a strong understanding of business processes to align technical solutions with business needs.
- Experiments with new ideas, validates assumptions, and recommends solutions.
- Participates in code reviews and communicates application changes.
- Documents code and projects for maintainability and support. This includes reading, writing, and reviewing design documents.
- Troubleshoots production issues and proposes effective solutions.
- Engages in continuous learning to improve design, code quality, and domain knowledge.
Competencies
- Customer Empathy: 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: 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 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: 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.
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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.
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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
- 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 a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.
California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.
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