Data Engineer II - Credit Data Pipelines & Fintech Impact

Sezzle; Argentina; On-site; ARS 48,109,000 - 77,319,000; Full time

Job summary

Sezzle is seeking a talented Data Engineer II to own data pipelines, transformations, and reporting processes that furnish customer account information to credit bureaus. You will debug SQL and Python workflows, partner with Customer Service, Compliance, and Engineering, and take hands-on ownership in a fast-growing fintech environment.

The role emphasizes building automated tests, monitoring, and regulated reporting while driving data quality and reliability across provider integrations.

Qualifications

• Degree in computer science, engineering, data science, or related field.
• 3+ years of experience in data engineering or software engineering with production pipelines.
• Advanced SQL skills with complex joins and data profiling.
• Strong Python skills with debugging and maintainable fixes.
• Experience with version control, automated testing, and monitoring.

Responsibilities

• Own recurring data-furnishing operations to credit bureaus.
• Build and maintain SQL transformations and Python scripts.
• Trace discrepancies from source data to outputs and implement fixes.
• Investigate service escalations and explain data issues with evidence.
• Develop tests, monitoring, and alerts to catch inaccuracies before submission.
• Collaborate with engineering and compliance to translate reporting requirements.

Skills

SQL

Python

Data pipelines

Data transformations

Troubleshooting

Education

Bachelor's degree in CS/Engineering

Tools

Git

Job description

Sezzle is seeking a talented Data Engineer II to own data pipelines, transformations, and reporting processes that furnish customer account information to credit bureaus. You will debug SQL and Python workflows, partner with Customer Service, Compliance, and Engineering, and take hands-on ownership in a fast-growing fintech environment.

The role emphasizes building automated tests, monitoring, and regulated reporting while driving data quality and reliability across provider integrations.