Credit Acceptance
Driving Possibility
Staff Software Engineer, Data Platform
Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000Since 1972H1B SponsorCompany SiteLinkedIn
Location
United States
Posted
141 days ago
Salary
$185.8K - $206.5K / year
Bachelor Degree5 yrs expEnglishAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesNo SQLPythonScalaSplunkGo
Job Description
• 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
Job Requirements
- 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
Benefits
- Excellent benefits package that includes 401(K) match
- Adoption assistance
- Parental leave
- Tuition reimbursement
- Comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
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