Data Engineer II, Credit Reporting

Role overview Own the data workflows that prepare and furnish customer account information to credit bureaus. This hands-on data engineering role combines recurring reporting operations with investigation and resolution of discrepancies, aiming to make submissions accurate, complete, timely, and easier to monitor.

Responsibilities - Manage recurring reporting from data preparation and validation through submission, bureau feedback, exception handling, and reconciliation. - Build and maintain SQL transformations, Python scripts, and pipelines that produce reporting data. - Trace discrepancies from account activity and source records through processing to submitted outputs, then implement lasting corrections. - Investigate customer service escalations, explain data findings, and provide evidence for dispute responses under approved reporting policies. - Identify affected accounts, coordinate corrections and controlled reprocessing, and verify the results. - Add automated tests, reconciliations, monitoring, and alerts to catch inaccurate, incomplete, duplicate, or unexpected records before submission. - Work with engineering and compliance teams on production defects and reporting rules; document data lineage, procedures, and incident resolutions.

Requirements - Degree in computer science, engineering, data science, or a related quantitative field. - At least three years of data or software engineering experience, including ownership of production pipelines and operational workflows. - Advanced SQL skills, including complex joins, account-level reconciliation, data profiling, and troubleshooting transformations. - Strong Python skills, including reading unfamiliar code, debugging scripts, and making maintainable changes. - Ability to investigate unclear issues independently and carry them through to verified resolution. - Experience with version control, code review, automated testing, and workflow scheduling or orchestration.

Nice to have - Experience in consumer lending, payments, financial services, banking, financial technology, or buy now, pay later. - Familiarity with tools such as Redshift, PostgreSQL, dbt, or cloud workflow platforms.

Benefits and work setup - Remote, full-time role.