Data Engineer (Hybrid)

We are interested in every qualified candidate who is eligible to work in the United States. However we are not able to sponsor visas or take over sponsorship at this time.

About the role:

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.

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

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

Plus:

• 1+ years of experience working with AWS RDS Aurora Lambda S3 Apache Kafka is desirable.

Compensation:

This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications skills experience and level assessed during the hiring process and may fall outside of the ranges shown. 

Budgeted annual salary ranges:

Data Engineer I: $63000 - $84000
Data Engineer II: $75000 - $92000

Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits described in more detail here.

What We Do

Enova International (NYSE: ENVA) is a leading online financial services company that serves small businesses and consumers who are underserved by traditional banks. For over 20 years Enova has provided over $67 billion in loans and financing to more than 14 million customers by offering a suite of market-leading products powered by the company's world-class analytics machine learning algorithms and proprietary technology. You can learn more about the company and its portfolio of businesses at www.enova.com.

Why Work With Us

Our values encourage ownership and accountability and we believe the best answer wins regardless of whose answer it is. We pride ourselves on hiring smart and driven people who bring new and innovative ideas to the table. Our mentality is "Work someplace awesome." Ready to join us?

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