14 days ago
Mexico City, MexicoSenior
Responsibilities
- Own recurring credit bureau furnishing operations, including preparation, validation, submissions, feedback handling, exception resolution, and reconciliation.
- Build, maintain, and debug SQL transformations, Python scripts, and data pipelines for credit reporting data.
- Trace account-data discrepancies through source records and transformation logic, identify root causes, and implement lasting fixes.
- Investigate Customer Service escalations and provide technical explanations and evidence for dispute responses.
- Identify accounts affected by reporting defects, perform controlled corrections and reprocessing, and verify 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 and validate fixes through the reporting pipeline.
- Translate approved Compliance requirements into technical rules 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.
- 5+ years of relevant data engineering or software engineering experience, including ownership of production data pipelines and operational workflows.
- Advanced SQL skills covering complex joins, account-level reconciliation, data profiling, and transformation troubleshooting.
- Strong Python skills, including reading unfamiliar code, debugging scripts, and implementing maintainable fixes.
- Experience independently investigating ambiguous problems, prioritizing operations and incidents, and driving 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 English communication.
- Demonstrated experience working with Claude or equivalent large language model tools is required.
- Preferred experience with credit reporting disputes, e-OSCAR, Metro 2, customer-support escalations, dbt, Redshift, PostgreSQL, AWS, workflow scheduling or orchestration tools, and financial services or BNPL.
Benefits
- Remote, full-time position.
- The company describes a culture of purpose-driven, high-standard employees and highlights interests including 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.