
Data Engineer II, Credit Reporting
Posted Nov 2

Posted Nov 2
This is a fully remote position, open to applicants in Peru.
• Take charge of ongoing credit bureau furnishing operations, encompassing data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.
• Develop, maintain, and troubleshoot SQL transformations, Python scripts, and data pipelines that generate credit reporting data.
• Track discrepancies from account activities and source records through transformation logic to furnished outputs; identify root causes and implement enduring solutions.
• Address Customer Service escalations, clarifying account data and reporting requirements, while providing evidence for dispute responses.
• Pinpoint accounts impacted by reporting defects, apply corrections and controlled reprocessing, and ensure verification of reporting outcomes.
• Create automated tests, reconciliations, monitoring, and alerts to identify inaccurate, incomplete, duplicate, or unexpected reporting.
• Collaborate with Engineering on production service or consumer application defects by supplying reproducible examples, affected-account analyses, and requirements; validate fixes.
• Work alongside Compliance to convert approved reporting requirements into technical rules and escalate ambiguous situations.
• Document reporting logic, data lineage, procedures, and incident resolutions.
• Bachelor's degree in computer science, engineering, data science, or a related quantitative field.
• Over 3 years of relevant experience in data engineering or software engineering, encompassing hands-on ownership of production data pipelines and operational workflows.
• Proficient in advanced SQL, including complex joins, account-level reconciliation, data profiling, and troubleshooting transformation logic.
• Strong command of Python, including the ability to read unfamiliar code, debug existing scripts, and implement maintainable solutions.
• Capability to independently investigate ambiguous issues, prioritize recurring operations and incidents, and follow through to verified resolutions.
• Experience with version control, code review, automated testing, monitoring, and the safe deployment and reprocessing of data workflows.
• Exceptional problem-solving abilities and a track record of tracing data defects across systems to prevent recurrence.
• Strong business judgment and communication skills; adept at explaining technical findings to Customer Service and Compliance and collaborating effectively with Engineering.
• Proficient in English.
• Demonstrated experience utilizing Claude or equivalent large language model tools is essential; comfortable using AI to boost productivity, research, and communication.
• Preferred: experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, and resolving customer support escalations.
• Preferred: familiarity with dbt, Redshift, PostgreSQL, AWS, and workflow scheduling or orchestration tools.
• Preferred: background in consumer lending, servicing, payments, financial services, banking, fintech, or BNPL.
• Opportunities for career advancement.
• Dynamic, high-growth work environment.
• Chance to engage with cutting-edge fintech and retail technology.
• Flexible remote work options.
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