Credit Acceptance
Staff Software Engineer, Data Platform
Credit Acceptance, Myrtle Point, Oregon, United States, 97458
Why consider this job opportunity:
Competitive base salary range from $185,805 – $206,450
Eligible for an annual variable bonus of cash and equity, between 10-20%
Excellent benefits package including 401(K) match, adoption assistance, parental leave, and comprehensive medical/dental/vision coverage
Opportunities for career advancement and professional development within a supportive work environment
Flexible work-life balance in a casual work environment
Recognition as a Great Place to Work with a focus on employee satisfaction and engagement
What to Expect (Job Responsibilities):
Own architecture and implementation of key components of the modern data platform, ensuring production reliability and technical soundness
Drive technical innovation by contributing to system design, implementation, and operational excellence
Collaborate with peers to influence technology and architecture decisions, providing well‑reasoned perspectives
Debug and resolve complex production issues, applying technical expertise to restore stability across services and systems
Mentor and coach less experienced engineers, contributing to team growth and technical maturity
What is Required (Qualifications):
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 hands‑on experience building and maintaining data platforms or distributed systems in cloud environments
Strong knowledge of software engineering best practices, with practical experience in building data platforms
Experience developing and supporting cloud‑native applications (AWS, Azure, or GCP), including containerized services (Docker, Kubernetes)
Strong programming skills in one or more languages commonly used for platform engineering (e.g., Python, Java, Scala, Go)
How to Stand Out (Preferred Qualifications):
Advanced expertise in lakehouse technologies (Delta, Iceberg, Hudi), including performance tuning
Hands‑on experience with workflow orchestration frameworks (Airflow, Dagster, Prefect)
Strong background in CI/CD pipelines for platform services
Familiarity with observability and SRE practices (SLAs/SLOs/SLIs, distributed tracing)
Experience with performance tuning and cost optimization for large‑scale data platforms
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Competitive base salary range from $185,805 – $206,450
Eligible for an annual variable bonus of cash and equity, between 10-20%
Excellent benefits package including 401(K) match, adoption assistance, parental leave, and comprehensive medical/dental/vision coverage
Opportunities for career advancement and professional development within a supportive work environment
Flexible work-life balance in a casual work environment
Recognition as a Great Place to Work with a focus on employee satisfaction and engagement
What to Expect (Job Responsibilities):
Own architecture and implementation of key components of the modern data platform, ensuring production reliability and technical soundness
Drive technical innovation by contributing to system design, implementation, and operational excellence
Collaborate with peers to influence technology and architecture decisions, providing well‑reasoned perspectives
Debug and resolve complex production issues, applying technical expertise to restore stability across services and systems
Mentor and coach less experienced engineers, contributing to team growth and technical maturity
What is Required (Qualifications):
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 hands‑on experience building and maintaining data platforms or distributed systems in cloud environments
Strong knowledge of software engineering best practices, with practical experience in building data platforms
Experience developing and supporting cloud‑native applications (AWS, Azure, or GCP), including containerized services (Docker, Kubernetes)
Strong programming skills in one or more languages commonly used for platform engineering (e.g., Python, Java, Scala, Go)
How to Stand Out (Preferred Qualifications):
Advanced expertise in lakehouse technologies (Delta, Iceberg, Hudi), including performance tuning
Hands‑on experience with workflow orchestration frameworks (Airflow, Dagster, Prefect)
Strong background in CI/CD pipelines for platform services
Familiarity with observability and SRE practices (SLAs/SLOs/SLIs, distributed tracing)
Experience with performance tuning and cost optimization for large‑scale data platforms
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr