Senior Data Engineer — Remote Credit Reporting Pipelines

Sezzle; Argentina; Remote; ARS 77,319,000 - 103,092,000; Full time

Job summary

Sezzle is seeking a Senior Data Engineer to own data pipelines, transformations, and reporting that feed credit bureau furnishment. You will debug SQL and Python workflows, tracing issues from source to output and implementing enduring fixes.

Collaboration with Customer Service, Compliance, and Engineering is essential to ensure accurate, timely data provision. You will leverage dbt, Redshift, PostgreSQL, and AWS to build robust data workflows in a fast-paced fintech environment with

Qualifications

• Degree in computer science, engineering, data science, or related quantitative field.
• 5+ years of data or software engineering ownership of production data pipelines.
• Strong SQL skills with complex joins and data reconciliation.
• Proficiency in Python and data workflow debugging.

Responsibilities

• Own recurring credit bureau furnishing operations and data prep.
• Maintain and debug SQL transformations, Python scripts, and data pipelines.
• Trace discrepancies from source to outputs and implement fixes.
• Develop tests, monitoring, and alerts for reliable reporting.
• Collaborate with Engineering, Compliance, and Customer Service on data needs.

Skills

Advanced SQL

Python

Data pipelines

Data quality

Troubleshooting

Analytics

Communication

Problem solving

Business judgment

AI tooling (Claude/ChatGPT)

Education

Degree in CS/Engineering/Data Science

Tools

dbt

Redshift

PostgreSQL

AWS

Workflow scheduling

Job description

Sezzle is seeking a Senior Data Engineer to own data pipelines, transformations, and reporting that feed credit bureau furnishment. You will debug SQL and Python workflows, tracing issues from source to output and implementing enduring fixes.

Collaboration with Customer Service, Compliance, and Engineering is essential to ensure accurate, timely data provision. You will leverage dbt, Redshift, PostgreSQL, and AWS to build robust data workflows in a fast-paced fintech environment with