14 days ago
Remote, ChileSenior
Responsibilities
- Own recurring credit bureau furnishing operations, including preparation, validation, submission, bureau feedback, exception resolution, and reconciliation.
- Build, maintain, and debug SQL transformations, Python scripts, and production data pipelines for credit reporting.
- Trace discrepancies across account activity, source records, transformation logic, and furnished outputs; identify root causes and implement lasting fixes.
- Investigate Customer Service escalations, explain account-data findings, and provide evidence for dispute responses.
- Identify affected accounts, implement corrections and controlled reprocessing, and verify reporting outcomes.
- Develop automated tests, reconciliations, monitoring, and alerts for inaccurate, incomplete, duplicate, or unexpected reporting.
- Partner with Engineering on production-service or consumer-app defects and validate fixes through the reporting pipeline.
- Work with Compliance to implement approved reporting requirements and escalate ambiguous scenarios.
- Document reporting logic, data lineage, procedures, and incident resolutions.
Requirements
- Bachelor-level 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 and the ability to read unfamiliar code, debug 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, and carry issues through verified resolution.
- Strong problem-solving, business judgment, communication, and cross-functional collaboration skills.
- Fluent in English.
- Demonstrated experience with Claude or equivalent large language model tools is required.
- Preferred experience with credit-reporting disputes, e-OSCAR, Metro 2 format, dbt, Redshift, PostgreSQL, AWS, workflow orchestration, and financial services or BNPL.
Benefits
- Remote, full-time position.
- Opportunities for career advancement in a rapidly growing team.
- A culture emphasizing high standards, innovation, trust, candid communication, calculated risk-taking, and results.
- Company culture includes employees with interests such as music, yoga, cycling, cooking, golf, dogs, and rock climbing.
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.