Data Engineer (Hybrid)
About The Position
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.
Requirements
- 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
Nice To Haves
- 1+ years of experience working with AWS RDS, Aurora, Lambda, S3, Apache Kafka is desirable.
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
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
- 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!
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
501-1,000 employees
