Data Engineer II — Credit Reporting Pipelines

Sezzle; Comisión de Fomento de Perú; On-site; ARS 48,109,000 - 77,319,000; Full time

Job summary

Sezzle is seeking a Data Engineer II to own data pipelines, transformations, and reporting that feed credit bureau furnishing. You will debug SQL/Python workflows, investigate data issues with stakeholders, and partner across teams to ensure accurate customer account data delivery.

You will work in a fast‑paced fintech environment, building automated tests, monitoring, and scalable data processes while applying compliance and policy requirements.

Qualifications

• Degree in computer science, engineering, data science, or a related quantitative discipline.
• 3+ years of relevant experience in data engineering or software engineering, including hands‑on ownership of production data pipelines and operational workflows.
• Advanced SQL skills, including complex joins, account‑level reconciliation, data profiling, and troubleshooting transformation logic.
• Strong Python skills, including the ability to read unfamiliar code, debug existing scripts, and implement maintainable fixes.
• Demonstrated ability to independently investigate ambiguous problems, prioritize recurring operations and incidents, and carry issues through to verified resolution.
• Experience with version control, code review, automated testing, monitoring, and safe deployment and reprocessing of data workflows.
• Excellent problem‑solving skills, with a track record of tracing data defects across systems and preventing recurrence.
• Strong business judgment and communication skills; able to explain technical findings to Customer Service and Compliance and work effectively with Engineering.
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.

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 from account activity and source records through transformation logic to furnished outputs; identify root causes and implement lasting fixes.
• Investigate escalations from Customer Service, explain what happened to account data and what should be reported under approved policies, and provide evidence to support dispute responses.
• Identify all accounts affected by reporting defects, implement corrections and controlled reprocessing, and verify the resulting reporting outcomes.
• Develop automated tests, reconciliations, monitoring, and alerts to catch inaccurate, incomplete, duplicate, or unexpected reporting before submission.
• Partner with Engineering on defects in production services or the consumer app, providing reproducible examples, affected‑account analysis, and clear requirements; validate fixes through the reporting pipeline.
• Work with Compliance to translate approved reporting requirements into technical rules and upscale ambiguous reporting scenarios.
• Document reporting logic, data lineage, procedures, and incident resolutions so the process is repeatable and can be supported by others.

Skills

SQL proficiency

Python proficiency

Problem solving

Communication

Education

BS in CS/Engineering/Data Science

Tools

dbt

Redshift

PostgreSQL

AWS

Workflow scheduling

Job description

Sezzle is seeking a Data Engineer II to own data pipelines, transformations, and reporting that feed credit bureau furnishing. You will debug SQL/Python workflows, investigate data issues with stakeholders, and partner across teams to ensure accurate customer account data delivery.

You will work in a fast‑paced fintech environment, building automated tests, monitoring, and scalable data processes while applying compliance and policy requirements.