14 days ago
Remote, ArgentinaMid Level
Responsibilities
- Own recurring credit bureau furnishing operations, including preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.
- Build, maintain, and debug SQL transformations, Python scripts, and data pipelines producing credit reporting data.
- Trace discrepancies from source account activity through transformation logic to furnished outputs, identify root causes, and implement lasting fixes.
- Investigate Customer Service escalations and provide technical explanations and 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.
- Partner with Engineering on production-service and consumer-app defects and validate fixes through the reporting pipeline.
- Translate approved Compliance requirements into technical rules and document reporting logic, data lineage, procedures, and incident resolutions.
Requirements
- Bachelor’s degree or equivalent degree-level education in computer science, engineering, data science, or a related quantitative discipline.
- At least 3 years of relevant data engineering or software engineering experience with 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.
- 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 verify resolutions.
- Strong problem-solving, business judgment, communication, and cross-functional collaboration skills; fluent in English.
- 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, workflow scheduling or orchestration tools, and financial services or fintech.
Benefits
- Full-time remote role.
- 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.