14 days ago
Remote, BrazilMid Level
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 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 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 to detect inaccurate, incomplete, duplicate, or unexpected reporting before submission.
- Partner with Engineering on production-service and consumer-app defects by providing reproducible examples, impact 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
- A degree in computer science, engineering, data science, or a related quantitative discipline.
- At least 3 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, including reading unfamiliar code, debugging scripts, and implementing maintainable fixes.
- Ability to independently investigate ambiguous problems, prioritize operations and incidents, and carry issues through verified resolution.
- Experience with version control, code review, automated testing, monitoring, and safe deployment and reprocessing of data workflows.
- Strong problem-solving, business judgment, communication, and cross-functional collaboration skills.
- Fluent in English.
- Required experience working with Claude or equivalent large language model tools.
- 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 role with a remote work arrangement.
- Monthly gross salary range of $2,800-$4,500 USD.
- Opportunity for career advancement in a rapidly growing team.
- Work with a cross-functional group spanning Engineering, Compliance, Customer Service, and data teams.
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.