
Senior Data Engineer, Credit Reporting
Posted Nov 3

Posted Nov 3
This is a fully remote position, open to applicants in Argentina.
• Take ownership of ongoing credit bureau furnishing operations, encompassing data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.
• Develop, sustain, and troubleshoot SQL transformations, Python scripts, and data pipelines that generate credit reporting data.
• Track discrepancies arising from account activity and source records through transformation logic to furnished outputs; pinpoint root causes and implement enduring solutions.
• Address Customer Service escalations, clarify account-data issues and reporting requirements, and provide evidence for dispute resolutions.
• Identify accounts impacted by reporting defects, apply corrections and controlled reprocessing, and confirm reporting results.
• Create automated tests, reconciliations, monitoring, and alerts to identify inaccurate, incomplete, duplicate, or unexpected reporting.
• Collaborate with Engineering on production-service or consumer-app defects, supplying reproducible examples, affected-account analysis, requirements, and fix validation.
• Coordinate with Compliance to convert approved reporting requirements into technical rules and escalate unclear scenarios.
• Document reporting logic, data lineage, procedures, and resolutions of incidents.
• Bachelor’s degree in computer science, engineering, data science, or a related quantitative field.
• Over 5 years of relevant experience in data engineering or software engineering, including direct responsibility for production data pipelines and operational workflows.
• Proficient in advanced SQL, including complex joins, account-level reconciliation, data profiling, and troubleshooting transformation logic.
• Strong proficiency in 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 manage issues to verified resolution.
• Experience with version control, code review, automated testing, monitoring, and secure deployment and reprocessing of data workflows.
• Exceptional problem-solving skills and a background in tracing data defects across systems to prevent recurrence.
• Strong business judgment and communication skills; ability to articulate technical findings to Customer Service and Compliance while collaborating effectively with Engineering.
• Proficient in English.
• Demonstrated experience working with Claude or similar large language model tools; comfortable utilizing AI to boost productivity, research, and communication.
• Preferred: Familiarity with credit reporting dispute workflows, e-OSCAR, Metro 2 format, and customer support escalations.
• Preferred: Experience with dbt, Redshift, PostgreSQL, AWS, and workflow scheduling or orchestration tools.
• Preferred: Background in consumer lending, servicing, payments, financial services, banking, fintech, or BNPL.
• Dynamic, high-growth environment with opportunities for career advancement.
• Culture that prioritizes high standards, innovation, action, trust, respectful challenge, and achieving results.
• Remote work arrangement available in Latin America.
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