14 days ago
Remote, ColombiaMid 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 data pipelines that produce credit reporting data.
- 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 under approved policies, 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.
- Partner with Engineering on production-service and consumer-app defects and validate fixes through the reporting pipeline.
- Translate approved Compliance reporting requirements into technical rules and document data lineage, procedures, reporting logic, and incident resolutions.
Requirements
- 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 covering complex joins, account-level reconciliation, data profiling, and transformation troubleshooting.
- Strong Python skills with the ability to read unfamiliar code, debug scripts, and implement maintainable fixes.
- Experience with version control, code review, automated testing, monitoring, safe deployment, and data-workflow reprocessing.
- Ability to independently investigate ambiguous problems, prioritize 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 working with Claude or equivalent large language model tools is required.
- Preferred experience includes credit reporting disputes, e-OSCAR, Metro 2, customer-support escalations, dbt, Redshift, PostgreSQL, AWS, workflow scheduling or orchestration, and financial services or fintech.
Benefits
- Full-time position with a remote work arrangement.
- Career advancement opportunities in a rapidly growing team.
- Culture emphasizing high standards, ownership, innovation, trust, respectful disagreement, and results.
- Employees may participate in interests and activities including music, yoga, cycling, cooking, golf, dog ownership, 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.