Senior Data Engineer, Credit Reporting

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

📋 Description

• Take ownership of ongoing credit bureau furnishing operations, encompassing data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.

• Design, 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 lasting solutions.

• Address Customer Service escalations, clarify account-data findings and reporting requirements, and provide evidence for dispute responses.

• Recognize affected accounts, implement corrections and controlled reprocessing, and verify 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-app defects by providing reproducible examples, affected-account analysis, requirements, and validation of fixes.

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

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

⛳️ Requirements

• Bachelor’s degree in computer science, engineering, data science, or a related quantitative field.

• Over 5 years of pertinent experience in data engineering or software engineering, including hands-on management of production data pipelines and operational workflows.

• Proficient SQL skills, 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 ensure verified resolution of problems.

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

• Exceptional problem-solving abilities and experience in tracing data defects across systems to prevent recurrence.

• Strong business judgment and communication skills.

• Proficient in English.

• Proven experience working with Claude or equivalent large language model tools is mandatory.

• Preferred: experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, dbt, Redshift, PostgreSQL, AWS, workflow scheduling/orchestration tools, as well as consumer lending, servicing, payments, financial services, banking, fintech, or BNPL.

🏝️ Benefits

• Opportunities for career advancement.

• A dynamic, fast-paced environment with high growth potential.

• Chance to engage with cutting-edge fintech and retail technology.

• Full-time employment.