• Job Description

  Req#: R13171
  Employer Industry: Automotive Finance
  
  Why consider this job opportunity:
  - Salary range from $185,805 to $206,450, with potential for an annual variable bonus of cash and equity between 10-20%
  - Excellent benefits package, including 401(K) match, adoption assistance, parental leave, and tuition reimbursement
  - Opportunities for professional development and continuous improvement within a supportive work environment
  - Flexibility to maintain work-life balance in a casual workplace culture
  - Recognition as a Great Place to Work with strong emphasis on teamwork and collaboration
  
  What to Expect (Job Responsibilities):
  - Own architecture and implementation of key components of the modern data platform, ensuring production reliability and technical soundness
  - Drive technical innovation by contributing to system design, implementation, and operational excellence
  - Collaborate with peers across data and engineering teams to influence technology and architecture decisions
  - Conduct impact analysis to proactively identify changes across services and systems
  - Debug and resolve complex production issues, applying technical expertise to restore stability
  
  What is Required (Qualifications):
  - Bachelor’s degree in Computer Science, Information Systems, or a closely related field; or equivalent work experience
  - Minimum 5 years of software engineering experience, with hands-on experience building and maintaining data platforms or distributed systems in cloud environments
  - Strong knowledge of software engineering best practices, with practical experience in building and operating data platforms
  - Experience developing and supporting cloud-native applications (AWS, Azure, or GCP)
  - Strong programming skills in one or more languages commonly used for platform engineering (e.g., Python, Java, Scala, Go)
  
  How to Stand Out (Preferred Qualifications):
  - Advanced expertise in lakehouse technologies (Delta, Iceberg, Hudi), including performance tuning and reliability at scale
  - Hands-on experience with workflow orchestration frameworks (Airflow, Dagster, Prefect)
  - Strong background in CI/CD pipelines for platform services
  - Familiarity with observability and SRE practices (SLAs/SLOs/SLIs, distributed tracing)
  - Experience with performance tuning and cost optimization for large-scale data platforms
  
  #AutomotiveFinance #DataEngineering #CareerOpportunity #CompetitivePay #GreatPlaceToWork
  
  We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
  We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

• About the company

  Credit Acceptance Corporation is an auto finance company providing automobile loans and other related financial products.

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