Data Engineer II, Credit Reporting

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Take ownership of recurring credit bureau furnishing operations, which encompasses 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.

• Investigate escalations from Customer Service, clarify account-data outcomes and approved reporting requirements, and provide supporting evidence for dispute responses.

• Identify accounts impacted by reporting defects, implement necessary corrections and controlled reprocessing, and verify reporting outcomes.

• Create automated tests, reconciliations, monitoring, and alerts to identify inaccurate, incomplete, duplicate, or unexpected reporting prior to submission.

• Collaborate with Engineering on production-service or consumer-app defects by providing reproducible examples, affected-account analyses, requirements, and validation of fixes.

• Work alongside Compliance to translate approved reporting requirements into technical rules and escalate any ambiguous scenarios.

• Document reporting logic, data lineage, procedures, and resolutions for incidents.

⛳️ Requirements

• A degree in computer science, engineering, data science, or a related quantitative field.

• Over 3 years of relevant experience in data engineering or software engineering, including direct ownership of production data pipelines and operational workflows.

• Proficient in advanced SQL, encompassing complex joins, account-level reconciliation, data profiling, and troubleshooting transformation logic.

• Strong skills 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 drive problems through to verified resolution.

• Familiarity with version control, code reviews, automated testing, monitoring, and the safe deployment and reprocessing of data workflows.

• Experience in tracing data defects across systems and implementing measures to prevent their recurrence.

• Strong business judgment and communication skills; ability to convey technical findings to Customer Service and Compliance while collaborating effectively with Engineering.

• Proficiency in English.

• Proven experience with Claude or similar large language model tools; comfortable utilizing AI to boost productivity, research, and communication.

• Preferred: Experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, and managing 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.

🏝️ Benefits

• A culture that emphasizes high standards, innovation, speed, trust, constructive disagreement, and results.

• Opportunities for career advancement.

• Flexible remote working options available in Latin America.