×
Register Here to Apply for Jobs or Post Jobs. X

Senior Software Engineer, Data Platform

Remote / Online - Candidates ideally in
Myrtle Point, Coos County, Oregon, 97458, USA
Listing for: Credit Acceptance
Remote/Work from Home position
Listed on 2025-12-09
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 130047 - 190735 USD Yearly USD 130047.00 190735.00 YEAR
Job Description & How to Apply Below
Location: Myrtle Point

Employer Industry: Automotive Finance

Why consider this job opportunity:
  • Competitive base salary range from $130,047 - $190,735, with eligibility for an annual variable cash bonus between 7.5% - 15%
  • Excellent benefits package, including 401(K) match, adoption assistance, parental leave, and tuition reimbursement
  • Opportunity for career advancement and growth within the organization
  • Work remotely with occasional planned travel to the Southfield, Michigan office
  • Supportive and collaborative work environment that values innovation and teamwork
  • Focus on professional development and continuous improvement in a casual culture
What to Expect (Job Responsibilities):
  • Design and implement core components of the data platform, emphasizing scalability, reliability, and observability
  • Collaborate with data and engineering stakeholders to deliver effective solutions for data acquisition, transformation, and integration
  • Write unit and integration tests to ensure platform reliability
  • Troubleshoot and resolve production issues, proposing effective solutions to restore platform stability
  • Engage in continuous learning and participate in Agile practices, contributing to sprint commitments and process improvements
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 recent hands‑on experience building and maintaining data platforms or distributed systems in cloud environments
  • Strong knowledge of software engineering best practices and experience building applications on cloud platforms (e.g., AWS, Azure, or GCP)
  • Familiarity with lakehouse principles and observability practices to ensure platform reliability
  • Solid understanding of distributed systems concepts and their application to data platforms
How to Stand Out (Preferred Qualifications):
  • Hands‑on experience with lakehouse technologies (Delta, Iceberg, Hudi)
  • Exposure to workflow orchestration frameworks (Airflow, Dagster, Prefect)
  • Experience with CI/CD pipelines for automated testing and deployment
  • Experience debugging performance issues and optimizing systems for cost and scale
  • Financial services or Fin Tech industry experience

#Automotive Finance #Data Platform Engineering  #Remote Work #Career Growth #Innovative Culture

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
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary