Senior Software Engineer, Data Platform

* 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 and implement core components of the data platform (e.g., data lake, streaming infrastructure, DaaS, catalog), emphasizing scalability, reliability, and observability.* Balance hands-on delivery with architectural foresight, contributing to cross-functional initiatives that strengthen the platform.* Partner with data and engineering stakeholders to understand requirements and deliver effective, efficient solutions for data acquisition, transformation, and integration.* Write unit and integration tests, validating software against acceptance criteria to ensure platform reliability.* Apply and promote team standards for coding, documentation, and testing, ensuring maintainable and high-quality engineering practices.* Conduct impact analysis to identify dependencies and assess potential risks of changes across applications and services.* Develop a strong understanding of platform use cases and business processes to align technical solutions with organizational needs.* Experiment with new tools and approaches, validate assumptions, and recommend solutions that improve the platform’s capabilities.* Participate in design and code reviews, providing constructive feedback and communicating changes effectively.* Document platform components and designs, ensuring projects are maintainable and understandable by others.* 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.* Engage in continuous learning, deepening knowledge of modern data platform technologies, distributed systems, and engineering best practices.* **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.* 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 recent hands-on experience building and maintaining data platforms or distributed systems in cloud environments* Strong knowledge of software engineering best practices, with practical experience building and operating data platforms, products, or solutions* Experience building and operating applications on cloud platforms (e.g., AWS, Azure, or GCP), including deploying and supporting containerized services (Docker, Kubernetes, ECS/EKS)* Familiarity with lakehouse principles (Delta Lake, Iceberg, or Hudi) and best practices for schema evolution, versioning, and performance optimization* Experience with observability practices (metrics, logs, tracing, alerting) and tools (e.g., Dynatrace, Splunk, CloudWatch) to ensure platform reliability* Knowledge of data storage technologies relevant to data platforms, including object stores (S3, ADLS, GCS), relational databases, and NoSQL systems* Awareness of data governance and security practices (e.g., access controls, encryption, compliance considerations), with the ability to design platform components that align with organizational standards* Solid understanding of distributed systems concepts (scalability, reliability, consistency, partitioning) and their application to data platforms* Experience working with enterprise-class applications where uptime, reliability, and scalability are essential* Strong programming skills in one or more languages commonly used for platform engineering (e.g., Python, Java, Scala, Go)* Demonstrated ability to mentor and coach less experienced engineers, contributing to team growth and technical maturity* Familiarity with Agile delivery practices and other software development lifecycle methodologies* Hands-on experience with lakehouse technologies (Delta, Iceberg, Hudi), beyond conceptual familiarity* Exposure to workflow orchestration frameworks (Airflow, Dagster, Prefect, Databricks Workflows)* Experience with CI/CD pipelines for automated testing and deployment* Exposure to observability tooling (Datadog, Prometheus, Grafana, ELK, Dynatrace, Splunk) beyond basics* Experience debugging performance issues and optimizing systems for cost and scale* Financial services or FinTech industry experience* Designs and implements platform components with a focus on scalability, reliability, and maintainability, following established standards* Collaborates with team members and partners to deliver high-quality solutions* Explores new tools or practices under guidance and contributes ideas to improve the platform* Participates in code reviews, shares knowledge with peers, and supports team-level improvements* Applies knowledge of cloud, data, and platform technologies to build effective solutions* Understands how technical work supports business outcomes and aligns with platform goals* Communicates clearly in technical discussions, design reviews, and documentation* Works independently on well-defined tasks and projects while seeking guidance on complex or ambiguous problems**Target Compensation**: A competitive base salary range from $130,047 - $190,735. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. * 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* Remain compliant with our policies processes and legal guidelines* All other duties as assigned* Attendance as required by departmentWe know everyone is different and we want each of our Team Members to be their authentic self at work!

With diversity of thought and a culture of inclusivity at the forefront of our strategy, we offer a variety of opportunities nationwide to encourage individualized work-life balance.**Credit Acceptance offers Team Members:*** Flexible work options including work from home, on site and hybrid positions* Company provided technology packages for all Team Members* An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members* #J-18808-Ljbffr