14 days ago
Remote, ArgentinaSenior
Responsibilities
- Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.
- Build, maintain, and debug SQL transformations, Python scripts, and data pipelines that produce credit reporting data.
- Trace discrepancies from account activity and source records through transformation logic to furnished outputs, identify root causes, and implement lasting fixes.
- Investigate Customer Service escalations, explain account-data findings and reporting requirements, and provide evidence for dispute responses.
- Identify accounts affected by reporting defects, implement corrections and controlled reprocessing, and verify reporting outcomes.
- Develop automated tests, reconciliations, monitoring, and alerts to detect inaccurate, incomplete, duplicate, or unexpected reporting before submission.
- Partner with Engineering on production-service and consumer-app defects by providing reproducible examples, affected-account analysis, requirements, and fix validation.
- Work with Compliance to translate approved reporting requirements into technical rules and escalate ambiguous scenarios.
- Document reporting logic, data lineage, procedures, and incident resolutions.
Requirements
- Degree in computer science, engineering, data science, or a related quantitative discipline.
- At least 5 years of relevant data engineering or software engineering experience, including ownership of production data pipelines and operational workflows.
- Advanced SQL skills including complex joins, account-level reconciliation, data profiling, and transformation troubleshooting.
- Strong Python skills with the ability to read unfamiliar code, debug existing scripts, and implement maintainable fixes.
- Experience with version control, code review, automated testing, monitoring, and safe deployment and reprocessing of data workflows.
- Ability to independently investigate ambiguous problems, manage recurring operations and incidents, trace defects across systems, and prevent recurrence.
- Strong business judgment and communication skills for explaining technical findings to Customer Service and Compliance and collaborating with Engineering.
- Fluent in English.
- Demonstrated experience working with Claude or equivalent large language model tools is required.
- 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
- Full-time remote role.
- Employees work in a culture described as purpose-driven, collaborative, and focused on high standards, innovation, trust, and results.
- The interview process includes a Wonderlic test, recruiter interview, online SQL/Python/debugging assessment, verbal case study, and behavioral interview.
Tech Stack
Categories
Data Engineering
About Sezzle
Sezzle builds a buy now, pay later platform that lets consumers split purchases into interest-free installments online and in stores, integrated with e-commerce and retail merchants. The company earns revenue from merchant fees and related consumer charges and provides underwriting and payment processing services. Founded in 2016 and headquartered in Minneapolis, Sezzle is a public company dual-listed on Nasdaq and the ASX.