Data Engineer II, Credit Reporting

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

📋 Description

• Take charge of ongoing credit bureau furnishing operations, which encompass 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.

• Track discrepancies stemming from account activity and source records through transformation logic to the furnished outputs; identify root causes and implement enduring solutions.

• Address Customer Service escalations, clarify account-data reporting results according to approved policies, and provide documentation for dispute resolutions.

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

• Design automated tests, reconciliations, monitoring, and alerts to detect inaccurate, incomplete, duplicate, or unexpected reporting.

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

• Liaise with Compliance to convert approved reporting requirements into technical rules and escalate any ambiguous cases.

• 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, holding hands-on responsibility for production data pipelines and operational workflows.

• Proficient SQL skills, including complex joins, account-level reconciliation, data profiling, and debugging transformation logic.

• Strong proficiency in Python, including the ability to read unfamiliar code, debug existing scripts, and implement maintainable solutions.

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

• Experience with version control, code review, 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, with the ability to convey technical findings to Customer Service and Compliance and collaborate effectively with Engineering.

• Proficient in English.

• Demonstrated experience working with Claude or equivalent large language model tools is essential.

• Comfortable using AI to boost productivity, research, and communication.

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

🏝️ Benefits

• Opportunities for career advancement.

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

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

• A cultural community that includes musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers.