Data Engineer II, Credit Reporting

About the role

Sezzle is hiring a Data Engineer II to own the data pipelines, transformations and reporting that supply accurate, complete and timely customer account information to credit bureaus. The role sits in a fast-paced, high-growth team and involves hands-on ownership of a customer-facing data function, working with Customer Service, Compliance and Engineering.

Key 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 for dispute responses.
• Identify accounts affected by reporting defects, implement corrections and controlled reprocessing, and verify the results.
• Develop automated tests, reconciliations, monitoring and alerts to catch inaccurate, incomplete, duplicate or unexpected reporting before submission.
• Partner with Engineering on production defects and with Compliance to turn approved reporting requirements into technical rules.
• Document reporting logic, data lineage, procedures and incident resolutions.

Required profile

• Degree in computer science, engineering, data science or a related quantitative discipline.
• 3+ years of experience in data or software engineering, including hands-on ownership of production data pipelines and operational workflows.
• Ability to investigate ambiguous problems independently and carry issues through to verified resolution.
• Fluent in English; experience with credit reporting dispute workflows, e-OSCAR and Metro 2 format preferred.
• Experience with consumer lending, servicing, payments, fintech or BNPL preferred.
• Experience using Claude or equivalent large language model tools is required.

Required skills

• Advanced SQL, including complex joins, account-level reconciliation and data profiling.
• Strong Python, including debugging existing scripts and implementing maintainable fixes.
• Version control, code review, automated testing, monitoring and safe deployment and reprocessing of data workflows.
• Preferred: dbt, Redshift, PostgreSQL, AWS and workflow orchestration tools.