Data Engineer II, Credit Reporting

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

📋 Description

• Take charge of recurring 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 from account activities and source documents through transformation logic to furnished outputs; identify root causes and implement enduring solutions.

• Address Customer Service escalations, clarify account-data issues and approved reporting results, and supply evidence for dispute responses.

• Identify accounts impacted by reporting defects, implement corrections and controlled reprocessing, and confirm reporting results.

• Create automated tests, reconciliations, monitoring, and alerts to detect 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 analysis, and requirements; validate fixes through the reporting pipeline.

• Work with Compliance to translate approved reporting requirements into technical guidelines and escalate ambiguous situations.

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

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

• Strong Python programming skills, 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 matters through verified resolution.

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

• Proven track record of tracing data defects across systems and preventing their recurrence.

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

• Proficient in English.

• Demonstrated experience utilizing Claude or similar large language model tools; comfortable leveraging AI to enhance productivity, research, and communication.

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

• Opportunities for career advancement.

• Fast-paced, high-growth work environment.

• Chance to work with innovative fintech technology.

• Collaborative engagement with Customer Service, Compliance, and Engineering teams.

• Flexible remote work arrangement.