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Senior Software Engineer - Data Solutions

Senior Software Engineer - Data Solutions

Credit AcceptancePort St Lucie, FL, United States
2 days ago
Job type
  • Full-time
Job description

Join Credit Acceptance, an award-winning company recognized both locally and nationally for our outstanding workplace culture! We pride ourselves on our dedicated Team Members who drive success as professionals and as a unified organization. Our combination of innovative products, exceptional people, and solid financial history has made us one of the largest used car finance companies in the nation.

As a part of our Engineering and Analytics Team, you will utilize cutting-edge technology to develop, monitor, and maintain complex processes that optimize our achievements. We encourage our Team Members to embrace challenges, share creative ideas, and enjoy a healthy work-life balance. By collaborating with all business functions, we aim to support strategic decision-making and enhance professional development while fostering a casual and rewarding work environment.

Key Responsibilities :

  • This position allows for remote work; occasional planned travel to the Southfield, Michigan office may be necessary, but team members have the option to work from the office if desired.
  • Design and implement essential components of the data platform (e.g., data lake, streaming infrastructure, DaaS, catalog) with a focus on scalability, reliability, and observability.
  • Balance hands-on delivery with architectural foresight, contributing to cross-functional initiatives that enhance the platform.
  • Collaborate with data and engineering stakeholders to understand requirements and deliver efficient solutions for data acquisition, transformation, and integration.
  • Write unit and integration tests to validate software against acceptance criteria, ensuring reliability of the platform.
  • Promote team standards for coding, documentation, and testing, ensuring high quality and maintainable engineering practices.
  • Conduct impact analysis to identify dependencies and evaluate potential risks associated with changes across applications and services.
  • Gain a deep understanding of platform use cases and business processes to align technical solutions with organizational needs.
  • Experiment with new tools and methodologies; validate assumptions and recommend enhancements to the platform's capabilities.
  • Participate in design and code reviews, providing constructive feedback and communicating changes effectively.
  • Document platform components and designs to ensure projects remain maintainable and comprehensible.
  • Troubleshoot and resolve production issues, proposing effective solutions to restore platform stability.
  • Contribute to sprint commitments and actively engage in Agile practices, including retrospectives and process improvements.
  • Embrace continuous learning to deepen knowledge of modern data platform technologies, distributed systems, and engineering best practices.

Core Competencies :

  • Customer Empathy : Ability to understand customer perspectives and needs to provide a better experience.
  • Engineering Excellence : Deliver outstanding products through high standards, best practices, and innovative solutions.
  • One Team : Collaborative mindset, working as a unified team toward shared goals.
  • Owner's Mindset : Actively take responsibility and strategic thinking to manage your domain effectively.
  • Required Qualifications :

  • Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent experience.
  • Minimum of 5 years of software engineering experience, specifically in building and maintaining data platforms or distributed systems within cloud environments.
  • Strong knowledge of software engineering best practices, with hands-on experience in data platforms, products, or solutions.
  • Experience deploying and supporting applications on cloud platforms (e.g., AWS, Azure, GCP), including containerized services (Docker, Kubernetes, ECS / EKS).
  • Familiarity with lakehouse principles (Delta Lake, Iceberg, Hudi) and best practices for schema evolution and performance optimization.
  • Experience with observability practices and tools (e.g., Dynatrace, Splunk, CloudWatch) to ensure platform reliability.
  • Knowledge of data storage technologies, including object stores (S3, ADLS, GCS), relational databases, and NoSQL systems.
  • Understand data governance and security practices, ensuring alignment with organizational standards.
  • Solid grasp of distributed systems concepts and their relevance to data platforms.
  • Experience with enterprise-class applications where uptime and reliability are critical.
  • Strong programming skills in languages commonly used for platform engineering (e.g., Python, Java, Scala, Go).
  • Ability to mentor and guide less experienced engineers, fostering team growth.
  • Familiarity with Agile methodologies and software development lifecycle practices.
  • Preferred Qualifications :

  • Hands-on experience with lakehouse technologies (Delta, Iceberg, Hudi).
  • Familiarity with workflow orchestration frameworks (e.g., Airflow, Dagster, Prefect, Databricks Workflows).
  • Experience with CI / CD pipelines for automated testing and deployment.
  • Advanced knowledge of observability tooling (e.g., Datadog, Prometheus, Grafana) beyond the basics.
  • Experience optimizing performance issues and scaling systems.
  • Experience in the financial services or FinTech industry.
  • Knowledge and Skills :

  • Expertise in designing platform components with a focus on scalability and maintainability.
  • Collaborative mindset to deliver high-quality solutions.
  • Exploratory approach toward new tools or practices to enhance the platform.
  • Active participant in code reviews and team-level knowledge sharing.
  • Technical proficiency in cloud, data, and platform technologies.
  • Understanding of how technical work supports business outcomes.
  • Effective communication in technical discussions and documentation.
  • Independent working skills on defined tasks while seeking guidance when needed.
  • Target Compensation :

    The competitive base salary range is $130,047 - $190,735, with eligibility for an annual variable cash bonus of 7.5 - 15%. Final compensation is based on factors such as role-specific skills, experience level, industry background, and education.

    Candidates in major metropolitan areas like San Francisco, Seattle, Boston, New York City, Los Angeles, and San Diego may receive a compensation premium based on their specific zone.

    Benefits :

  • Comprehensive benefits including 401(K) match, adoption assistance, parental leave, tuition reimbursement, medical / dental / vision coverage, and unique perks that contribute to our Great Place to Work status.
  • Our Company Values :

    To thrive in this role, Team Members should exemplify :

  • Positivity through resilience and solution-focused thinking.
  • Respect through collaboration and active listening.
  • Insight through innovation, knowledge accumulation, and quality decision-making.
  • Directness in communication and courageous expression.
  • Earnestness in accountability, feedback acceptance, and effective planning.
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    Senior Software Engineer • Port St Lucie, FL, United States

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