Credit Acceptance · 2 months ago
Senior Software Engineer, Data Platform
United States
Full-time
Remote
Senior Level
$130K/yr - $191K/yr
5+ years expCredit Acceptance is an award-winning company recognized for its workplace culture and success in the used car finance industry. The Senior Software Engineer for the Data Platform will design and implement core components of the data platform while collaborating with stakeholders to deliver effective solutions for data acquisition and integration.
Financial Services
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/ dental/vision
Many nonstandard benefits that make us a Great Place to Work
Company
Credit Acceptance
Credit Acceptance is an indirect finance company that helps eligible consumers restart financially.
1001-5000 employees
H1B Sponsorship
Credit Acceptance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (49)
2024 (48)
2023 (15)
2022 (30)
2021 (24)
2020 (16)
Funding
Current Stage
Public CompanyTotal Funding
$2.85B2025-11-13Debt Financing· $500M
2025-02-13Post Ipo Debt· $500M
2024-12-20Post Ipo Debt· $300M
Leadership Team
Kenneth Booth
Chief Executive Officer and President
Recent News
GlobeNewswire
2025-12-11
Credit Acceptance Corporation
2025-11-19
Credit Acceptance Corporation
2025-11-14
Company data provided by crunchbase