
Senior Data Engineer, Credit Reporting
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Turkey.
• Oversee ongoing operations related to credit bureau data furnishing, which includes data preparation, validation, submissions, handling bureau feedback, resolving exceptions, and conducting reconciliations.
• Create, 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 processes to the final furnished outputs; determine root causes and implement sustainable solutions.
• Address escalations from Customer Service, clarify outcomes of account-data reporting according to established policies, and provide supporting evidence for dispute resolutions.
• Identify accounts impacted by reporting issues, apply corrections and controlled reprocessing, and confirm reporting results.
• Develop automated testing, reconciliation processes, monitoring systems, and alerts to identify incorrect, incomplete, duplicate, or unexpected reporting before submission.
• Collaborate with Engineering to address production-service or consumer-app defects by providing reproducible examples, analyzing affected accounts, and setting clear requirements; verify fixes through the reporting pipeline.
• Work alongside Compliance to convert approved reporting requirements into technical guidelines and escalate any ambiguous scenarios.
• Document reporting logic, data lineage, procedures, and resolutions to incidents.
• Engage in Wonderlic testing, participate in recruiter interviews, and undertake SQL/Python/debugging assessments, case studies, and behavioral interviews.
• Bachelor's degree in computer science, engineering, data science, or a related quantitative field.
• A minimum of 5 years of relevant experience in data engineering or software engineering, with hands-on responsibility for production data pipelines and operational workflows.
• Proficient SQL skills, including the ability to perform complex joins, account-level reconciliations, data profiling, and troubleshooting transformation logic.
• Strong skills in Python, encompassing the ability to read unfamiliar code, debug existing scripts, and implement maintainable fixes.
• Capability to independently explore ambiguous issues, prioritize ongoing operations and incidents, and see problems through to verified resolution.
• Experience 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 and preventing their recurrence.
• Strong business acumen and communication skills; capable of articulating technical findings to Customer Service and Compliance and collaborating effectively with Engineering.
• Proficiency in English.
• Proven experience utilizing Claude or similar large language model tools is essential; comfortable using AI to improve productivity, research, and communication.
• Preferred experience includes credit reporting dispute workflows, e-OSCAR, Metro 2 format, dbt, Redshift, PostgreSQL, AWS, workflow scheduling/orchestration tools, and familiarity with consumer lending, servicing, payments, financial services, banking, fintech, or BNPL.
• Opportunities for career advancement.
• A dynamic, fast-paced, and high-growth work environment.
• The chance to work with cutting-edge technology.
• A unique, purpose-driven company culture.
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