Data Engineer II, Credit Reporting

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

📋 Description

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

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

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

• Identify accounts impacted by reporting errors, apply corrections and controlled reprocessing, and verify the outcomes of reporting.

• Create automated tests, reconciliations, monitoring, and alerts to identify inaccuracies, incompleteness, duplicates, or unexpected reporting.

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

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

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

⛳️ Requirements

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

• Over 3 years of pertinent experience in data engineering or software engineering, with hands-on responsibility for production data pipelines and operational workflows.

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

• Strong Python proficiency, 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 see problems through to verified resolutions.

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

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

• Excellent business judgment and communication skills; capable of explaining technical findings to Customer Service and Compliance and collaborating effectively with Engineering.

• Proficient in English.

• Demonstrated experience with Claude or comparable large language model tools is essential; comfortable using AI to improve productivity, research, and communication.

• Preferred: experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, and handling customer support escalations.

• Preferred: experience 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.

• A dynamic, high-growth work environment.

• Chance to engage with cutting-edge technology.

• Opportunity to utilize AI tools such as Claude and ChatGPT.

• A diverse employee community and culture, including musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers.