Data Engineer, Enova
$63-92k
More information about location
3 days a week in office
AI-driven financial credit provider
Job no longer available
AI-driven financial credit provider
1001+ employees
Job no longer available
$63-92k
More information about location
3 days a week in office
1001+ employees
Company mission
To help hardworking businesses and individuals get access to fast, trustworthy credit through its AI-driven credit solutions.
Role
Who you are
- 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
Desirable
- 1+ years of experience working with AWS RDS, Aurora, Lambda, S3, Apache Kafka is desirable
What the job involves
- The Financial Data Engineer Team effectively and sustainably develops data strategy and supplies financial data solutions and tools across the organization
- We integrate, transform, and enhance data products at both project and enterprise levels to promote streamlined processes, increased efficiencies, and more informed decision-making
- This team is characterized by high energy, dynamism, and operates within a business-critical domain
- This role offers an opportunity to significantly impact the data landscape, and we seek confident, experienced individuals eager to deliver financial data solutions with a proven ability to learn rapidly and execute effectively
- 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
Our take
Providing customers with quick access to credit is important for fintech companies to survive in today's financial landscape of open banking, but this is made difficult by high credit rejection rates from banks. However, these decisions are generally made by human assessments of data, which are limited due to the complexity of the modern financial landscape. AI-driven solutions, able to analyse vast amounts of data almost instantly to derive accurate credit risk assessments, present room for improvement in the lending industry.
Enova provides a platform called Colossus that leverages AI and machine learning-enabled analytics to provide businesses and individuals with fast, reliable, and trustworthy credit. The company achieves this by partnering with banks and sharing its data analysis solutions, helping to identify credit opportunities when they would otherwise be missed. There is definitely a market for its product: over 15M customers have funded almost $70B through the platform to date.
Enova has grown strongly in recent years based on the rapid uptake of its product. As the macroeconomic climate remains volatile, businesses will become increasingly reliant on Enova's AI-based solutions to help them manage credit risk and navigate a complex lending environment.
Steph
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results
- Health, dental, and vision insurance including mental health benefits
- 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!
- 401(k) matching plus a roth option
Company HQ
Chicago Loop, Chicago, IL
Leadership
David Fisher
(Executive Chairman)Before joining Enova as CEO, they were the CEO of optionsXpress and CFO at Potbelly Sandwich Works, Prism Financial and RBC Mortgage.
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