Data Engineer II, Credit Reporting

Responsibilities: — Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation — Build, maintain, and debug SQL transformations, Python scripts, and data pipelines that produce credit reporting data — Trace discrepancies from account activity and source records through transformation logic to furnished outputs; identify root causes and implement lasting fixes — Investigate escalations from Customer Service, explain what happened to account data and what should be reported under approved policies, and provide evidence to support their dispute responses — Identify all accounts affected by reporting defects, implement corrections and controlled reprocessing, and verify the resulting reporting outcomes — Develop automated tests, reconciliations, monitoring, and alerts to catch inaccurate, incomplete, duplicate, or unexpected reporting before submission — Partner with Engineering on defects in production services or the consumer app, providing reproducible examples, affected-account analysis, and clear requirements; validate fixes through the reporting pipeline — Work with Compliance to translate approved reporting requirements into technical rules and escalate ambiguous reporting scenarios — Document reporting logic, data lineage, procedures, and incident resolutions so the process is repeatable and can be supported by others Requirements: — Degree in computer science, engineering, data science, or a related quantitative discipline — 3+ years of relevant experience in data engineering or software engineering, including hands-on ownership of production data pipelines and operational workflows — Advanced SQL skills, including complex joins, account-level reconciliation, data profiling, and troubleshooting transformation logic — Strong Python skills, including the ability to read unfamiliar code, debug existing scripts, and implement maintainable fixes — Demonstrated ability to independently investigate ambiguous problems, prioritize recurring operations and incidents, and carry issues through to verified resolution — Experience with version control, code review, automated testing, monitoring, and safe deployment and reprocessing of data workflows — Excellent problem-solving skills, with a track record of tracing data defects across systems and preventing recurrence — Strong business judgment and communication skills; able to explain technical findings to Customer Service and Compliance and work effectively with Engineering — Fluent in English — Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication. Preferred Knowledge and Skills: — Experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, and investigating escalations from customer support teams — Experience with dbt, Redshift, PostgreSQL, AWS, and workflow scheduling or orchestration tools — Experience in consumer lending, servicing, payments, financial services, banking, fintech, or BNPL Benefits: — Remote full-time position — Opportunity to work in a fast-paced, high growth environment with career advancement prospects — Collaborative work with Customer Service, Compliance, and Engineering teams Stack: Python, SQL, Redshift, PostgreSQL, dbt Work format: Remote Salary range: $2,800 - $4,500 per month (Gross in USD)