Hybrid Data Engineer: ETL, SQL & Python for Finance

Enova International; Chicago (IL); Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) matching

Paid parental leave

Employee recognition and rewards program

Paid volunteer day

Job summary

A leading financial technology company is seeking a Data Engineer (Hybrid) in Chicago to support various teams with data needs and lead technical initiatives. The ideal candidate will have 1-3 years of experience in financial data engineering, strong SQL/Python skills, and a degree in Computer Science or a related field. This role offers a hybrid work model and comprehensive benefits including health insurance and 401(k) matching.

Qualifications

• 1-3 years of experience in financial data engineering.
• Hands-on experience with SQL and PostgreSQL.
• 1+ years experience with Python.
• Deep understanding of accounting principles.

Responsibilities

• Support the data needs of various teams.
• Architect and maintain SQL and Python processes.
• Troubleshoot discrepancies in databases and data pipelines.
• Lead technical initiatives by collaborating with team members.

Skills

SQL

Python

Cloud Data Warehouse Technologies

PostgreSQL

ETL/ELT methodologies

Agile methodologies

Education

Bachelor’s or Master’s in Computer Science or Information Systems

Tools

AWS RDS

Snowflake

Redshift

Job description

A leading financial technology company is seeking a Data Engineer (Hybrid) in Chicago to support various teams with data needs and lead technical initiatives. The ideal candidate will have 1-3 years of experience in financial data engineering, strong SQL/Python skills, and a degree in Computer Science or a related field. This role offers a hybrid work model and comprehensive benefits including health insurance and 401(k) matching.