Senior Data Engineer — Credit Reporting Pipelines

Sezzle

Chile

On-site

CLP 49,625,000 - 66,166,000

Full time

11 days ago

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Job summary

Sezzle is hiring a Senior Data Engineer to own data pipelines, transformations, and reporting processes that furnish customer account information to credit bureaus. You will work in a fast-paced, high-growth environment, debugging SQL/Python workflows, and partnering with Customer Service, Compliance, and Engineering to ensure accurate, timely reporting.

The role emphasizes independent problem solving, ownership of production data workflows, and building automated tests and monitoring to prevent

Qualifications

  • 5+ years in data or software engineering with production pipelines
  • Advanced SQL skills with data profiling and joins
  • Strong Python skills for debugging and fixes
  • Independent problem solver with incident management
  • Experience with version control, testing, monitoring
  • Excellent communication to explain findings

Responsibilities

  • Own recurring credit bureau furnishing operations and data prep
  • Build and debug SQL transformations and Python pipelines
  • Trace discrepancies and implement fixes end-to-end
  • Investigate escalations from Customer Service and Compliance
  • Create automated tests, reconciliations, monitoring, alerts
  • Collaborate with Engineering to validate fixes in production
  • Document reporting logic and data lineage

Skills

Advanced SQL
Python
Data pipelines
Problem solving
Communication

Education

Computer Science degree

Tools

dbt
Redshift
PostgreSQL
AWS
Airflow

Job description

Sezzle is hiring a Senior Data Engineer to own data pipelines, transformations, and reporting processes that furnish customer account information to credit bureaus. You will work in a fast-paced, high-growth environment, debugging SQL/Python workflows, and partnering with Customer Service, Compliance, and Engineering to ensure accurate, timely reporting.

The role emphasizes independent problem solving, ownership of production data workflows, and building automated tests and monitoring to prevent

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