Credit Acceptance-posted 3 months ago
$185,805 - $206,450/Yr
Full-time • Senior
Baraga Township, MI
1,001-5,000 employees

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally. 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! 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.

  • Design, build, and scale data pipelines across a variety of source systems and streams, including internal, third-party, and cloud-based platforms.
  • Interface with cross-functional teams to extract, load, and transform data using cloud-native data engineering principles.
  • Collaborate with stakeholders to understand data requirements and develop efficient strategies for data acquisition and integration.
  • Write unit-tests and validate your software against acceptance criteria.
  • Evolve and transform the design and architecture of applications towards leading edge technologies and practices.
  • Author, apply and advocate for team coding, documenting and testing standards.
  • Conduct impact analysis to proactively identify impact of a change across multiple applications.
  • Learn the business process domain to better support the business and align technologies with the business process.
  • Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions.
  • Lead code reviews and communicate application changes.
  • Document code and projects so others can easily understand, maintain and support.
  • Debug the problems which arise in production and propose effective solutions within the application and across multiple applications.
  • Read, write and review design documents.
  • Contribute to team's sprint commitments and actively participate in our Agile practices, including recommendations for process improvement.
  • Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge.
  • Participate in the talent selection process.
  • Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience.
  • Minimum 8 years of software engineering experience or comparable depth of experience, with recent experience building on cloud data platforms.
  • Experience in the lead role overseeing technical direction of a team of data engineering talent.
  • Strong understanding of one or more programming languages commonly used in data engineering (e.g., Python, Java, Scala).
  • Practical experience in Software Development Life Cycle (SDLC) including Agile/SCRUM and Waterfall.
  • Experience designing scalable batch and streaming pipelines.
  • Strong understanding of data modeling, schema design, and lakehouse principles.
  • Experience with data governance, lineage, and quality frameworks.
  • Experience working on mission-critical enterprise-class applications.
  • Demonstrated ability to coach and mentor less experienced team members.
  • Expertise in Apache Spark.
  • Strong working knowledge of Databricks (e.g., Delta Lake, Unity Catalog, DLT, Auto Loader).
  • Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, MSK).
  • Financial services or FinTech industry experience.
  • Excellent benefits package that includes 401(K) match.
  • Adoption assistance.
  • Parental leave.
  • Tuition reimbursement.
  • Comprehensive medical/dental/vision.
  • Many nonstandard benefits that make us a Great Place to Work.
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