14 days ago
Remote, BrazilSenior
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 supporting 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 outcomes, 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 and consumer-app defects, including 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.
- 5+ years of relevant data engineering or software engineering experience with production data pipelines and operational workflows.
- Advanced SQL skills covering complex joins, account-level reconciliation, data profiling, and transformation troubleshooting.
- Strong Python skills for reading unfamiliar code, debugging scripts, and implementing maintainable fixes.
- Experience independently investigating ambiguous problems, managing recurring operations and incidents, and carrying issues through verified resolution.
- Experience with version control, code review, automated testing, monitoring, safe deployment, and data-workflow reprocessing.
- Strong problem-solving, business judgment, communication, and cross-functional collaboration skills.
- Fluent in English.
- Demonstrated experience working with Claude or equivalent large language model tools is required.
- Preferred experience with credit reporting disputes, e-OSCAR, Metro 2 format, customer-support escalations, 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 position.
- The company describes a culture involving musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers.
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.