
Senior Data Engineer, Credit Reporting
Posted Nov 3

Posted Nov 3
This is a fully remote position, open to applicants in Colombia.
• Oversee the ongoing operations related to credit bureau furnishing, which includes 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 the transformation logic to the furnished outputs; identify root causes and implement lasting solutions.
• Address Customer Service escalations, clarify account-data reporting results in accordance with approved policies, and provide documentation for dispute resolutions.
• Identify accounts impacted by reporting defects, apply corrections and controlled reprocessing, and confirm reporting results.
• Create automated tests, reconciliations, monitoring systems, and alerts to identify inaccurate, incomplete, duplicate, or unexpected reporting.
• Collaborate with Engineering on defects related to production services or consumer applications; provide reproducible examples, perform affected-account analysis, gather requirements, and validate solutions.
• Work alongside Compliance to translate approved reporting requirements into technical specifications and escalate any ambiguous situations.
• Document reporting logic, data lineage, processes, and incident resolutions.
• A degree in computer science, engineering, data science, or a related quantitative field.
• A minimum of 5 years of relevant experience in data engineering or software engineering, involving hands-on ownership of production data pipelines and operational processes.
• Proficient in advanced SQL, including complex joins, account-level reconciliation, data profiling, and debugging transformation logic.
• Strong Python programming skills, including the ability to read unfamiliar code, debug existing scripts, and implement sustainable fixes.
• Capability to independently investigate ambiguous issues, prioritize ongoing operations and incidents, and guide problems through to verified resolutions.
• Experience with version control, code reviews, automated testing, monitoring, and the safe deployment and reprocessing of data workflows.
• Proven ability to trace data defects across systems and prevent their recurrence.
• Excellent business judgment and communication skills; capable of conveying technical findings to Customer Service and Compliance while working effectively with Engineering.
• Proficient in English.
• Experience working with Claude or similar large language model tools; comfortable utilizing AI to boost productivity, research, and communication.
• Opportunities for career advancement.
• A dynamic, fast-paced, high-growth work environment.
• Option for remote work within Latin America.
• Exposure to a global and innovative fintech and retail environment.
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