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Data Engineer (Hybrid)

Chicago, IL

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: $63,000 - $84,000
Data Engineer II: $75,000 - $92,000

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.

Benefits & Perks:

  • 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!

About Enova

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. 

Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here

It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

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Enova’s policy is to provide Equal Employment Opportunity for all individuals and not discriminate in employment decisions, by placing the most qualified person in each job.

You are being given the opportunity to voluntarily and anonymously provide the following information order to help us track the progress of our efforts to incorporate diversity in our recruiting practices.  Your responses to the questions below, or your decision not to respond to some or all of questions, will be aggregated and anonymous and used for reporting purposes, and will not be: 1) considered in any manner for purposes of evaluating your application for employment, your eligibility for an interview, or in the decision to offer you and employment opportunity with Enova or 2) shared with the individual or individuals making any selection decision.

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