Senior Data Engineer, Credit Reporting

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

📋 Description

• Take charge of recurring credit bureau furnishing operations, which includes data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.

• Create, maintain, and troubleshoot SQL transformations, Python scripts, and data pipelines that generate credit reporting data.

• Trace discrepancies from account activities and source records through transformation logic to furnished outputs; identify root causes and implement permanent solutions.

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

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

• Develop automated tests, reconciliations, monitoring, and alerts to detect inaccuracies, incomplete data, duplicates, or unexpected reporting before submission.

• Collaborate with Engineering on production-service or consumer-app defects by providing reproducible examples, conducting affected-account analysis, defining requirements, and validating fixes.

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

• 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 5 years of pertinent experience in data engineering or software engineering, including direct ownership of production data pipelines and operational workflows.

• Proficiency in advanced SQL, featuring 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 fixes.

• Capability to independently investigate ambiguous problems, prioritize recurring operations and incidents, and guide issues to verified resolution.

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

• Excellent problem-solving abilities and experience in tracing data defects across systems to prevent future occurrences.

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

• Proficiency in English.

• Demonstrated experience with Claude or similar large language model tools is essential; comfort in leveraging AI to improve productivity, research, and communication.

• Preferred: experience 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: experience in consumer lending, servicing, payments, financial services, banking, fintech, or BNPL.

🏝️ Benefits

• Opportunities for career advancement.

• A fast-paced, high-growth work environment.

• A chance to work on a critical customer-facing data function.

• A diverse and purpose-driven company culture.

• Full-time employment.