Data Engineer (Hybrid) at Enova International in Chicago, IL

Summary: Enova International is a leading financial technology company that provides online financial services through their AI and machine learning-powered platform. The role of a Data Engineer involves developing data strategies and solutions to support various financial teams, while also architecting and maintaining data processes. Responsibilities: - Support the data needs of Strategy, Product, Compliance, Operations, Accounting, and Finance teams - Opportunity to lead technical initiatives by architecting the solution and collaborating with team members and peers to execute the solution - Architect, design, implement, and maintain multi-layered SQL and Python processes - Enhance the tooling and Python Frameworks to support complex Extract Transform Load (ETL) and/or Extract Load Transform (ELT) processes - Act diligently to respond to urgent projects and tasks - Troubleshooting discrepancies in existing databases, data pipelines, warehouses, and reporting - Collaborating with principals, peers, leadership, and the business - Work as a “full stack” Data Engineer contributing to each phase of the SDLC, building a new pipeline between two data sources or working with the business to design and develop a new dashboard - Advise on Best Practices and innovative designs/solutions - Perform other functions as assigned by management to support the operation of the business Required Qualifications: - A Bachelor's degree or Masters in Computer Science, Information System, or equivalent experience - 1-3 years of experience in financial data engineering with a focus on database related technologies - Hands-on experience of SQL and database related technologies, particularly PostgreSQL - 1-3 years of experience working with Cloud Data Warehouse Technologies such as Snowflake or Redshift - 1+ years of hands-on experience working with Python - Deep understanding of accounting principles and finance data system techniques - Deep understanding of object oriented programming methodologies and design patterns - Exposure to architecting, designing, and implementing ETL or ELT solutions with peers and stakeholders - Exposure to Agile methodologies - Ability to work off-hours as needed Preferred Qualifications: - 1+ years of experience working with AWS RDS, Aurora, Lambda, S3, Apache Kafka is desirable Required Skills: SQL, Python, ETL/ELT solutions Important Skills: PostgreSQL, Cloud Data Warehouse, Accounting principles, Object-oriented programming Nice-to-Have Skills: Agile methodologies, AWS RDS, Apache Kafka Benefits: Health, dental, and vision insurance including mental health benefits, 401(k) matching plus a roth option (U.S. Based employees only), PTO & paid holidays off, Sabbatical program (for eligible roles), Summer hours (for eligible roles), Paid parental leave, DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova), Employee recognition and rewards program, Charitable matching and a paid volunteer day…Plus so much more!