Credit Acceptance · 2 weeks ago
Staff Software Engineer, Data Platform
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expCredit Acceptance is an award-winning company recognized for its workplace culture and stability in the used car finance sector. The Staff Software Engineer for the Data Platform will own the architecture and implementation of key components of the data platform, driving technical innovation and collaborating with peers to influence technology decisions.
Financial Services
Responsibilities
Own architecture and implementation of key components of the modern data platform (e.g., data lake, streaming infrastructure, DaaS, DAL, data catalog), ensuring production reliability and technical soundness
Drive technical innovation by contributing to system design, implementation, and operational excellence in high-impact areas of the platform
Model strong engineering practices through hands-on work and code contributions, demonstrating how engineers should approach problems and uphold quality
Collaborate with peers across data and engineering teams to influence technology and architecture decisions, providing well-reasoned perspectives
Advocate for adoption of new technologies and demonstrate their value through prototypes, proofs of concept, and integration into team workflows
Align project execution with broader strategies by working with senior engineers and engineering leadership to support the company’s technical and business direction
Conduct impact analysis to proactively identify impact of a change across services and systems
Evaluate third-party technologies and solutions through technical assessments and provide recommendations that balance technical fit with business needs
Experiment and validate ideas by testing assumptions, analyzing results, and recommending practical solutions to improve platform capabilities
Contribute to documentation of standards and best practices, making platform engineering approaches clear and maintainable for other teams
Debug and resolve complex production issues, applying technical expertise to restore stability across services and systems
Participate in continuous learning and improvement efforts, helping refine processes, design practices, and team workflows for better engineering outcomes
Grow talent by participating in hiring and mentoring team members
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 developing and supporting cloud-native applications (AWS, Azure, or GCP), including containerized services (Docker, Kubernetes, ECS/EKS)
Working knowledge of lakehouse technologies (Delta Lake, Iceberg, Hudi) with hands-on experience in schema evolution and optimization
Strong understanding of observability practices (metrics, logging, tracing, alerting) and experience applying them with tools such as Dynatrace, Splunk, or CloudWatch to ensure platform reliability and performance
Applied experience with data storage and processing technologies, 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
Strong knowledge of distributed systems concepts (scalability, reliability, consistency, partitioning) and their application to large-scale 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
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, Databricks Workflows)
Strong background in CI/CD pipelines for platform services
Deep familiarity with observability and SRE practices (SLAs/SLOs/SLIs, distributed tracing, advanced monitoring tools)
Experience with performance tuning and cost optimization for large-scale data platforms
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