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.

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!

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,…