One stop solution to your remote job hunt!

By signing up you get access to highly customizable remote jobs newsletter, An app which helps you in your job hunt by providing you all the necessary tools.

OR
Subscribe to our highly customizable newsletter to get remote jobs from top remote job boards delivered to your inbox.
Enova International almost 2 years ago
location: remoteus
Apply Now

Title: Senior Python Engineer (Remote)

Location: Chicago, IL

Enova is currently accepting candidates for remote positions in the following eligible states: AL, AK, AR, AZ, CT, GA, IA, ID, IL, IN, KY, LA, MA, ME, MD, MI, MN, MO, MS, NC, ND, NE, NH, NV, NJ, NM, OH, OK, OR, PA, RI, SC, SD, TN, UT, VT, WI, WV, WY. Hybrid options are also available for this role.

About the role:

Do you love solving challenging data problems? Are you an experienced software engineer interested in getting into the data engineering space and learning about AWS? At Enova, we have a team dedicated to addressing the intersection of good software engineering practice and the world of data science and analytics. We are dedicated to building pipelines and tools to help get data to the decision makers and model builders more quickly, and are focused especially on that “last mile of data” understanding the business need for data across multiple groups and then using our software / AWS skills to develop data solutions that help the company.

What you’ll do:

  • Apply your software experience to learn about a current data need in Analytics / Forecasting / Marketing, design a solution for it, and then work with the team to implement it.
  • Use Python, Go, Postgres, Kafka, and several parts of AWS.
  • Help make additions to an internal data pipeline that moves data from Postgres / MySQL / SQL Server (and custom producers) to Snowflake and Postgres.
  • Work in an environment where you will have a lot of autonomy once you show you’re comfortable with the stack (and, at the same time, with lots of support to help you get there).

We’re excited about you if you have:

  • 3+ years of experience in Python, OOP, SDLC, and CI/CD.
  • Experience with one or more other programming languages (we welcome engineers from all backgrounds).
  • A demonstrated understanding of software principles and experience writing software solutions.
  • An interest in data engineering and writing great data solutions.

Things we like, but don’t require:

  • Experience programming in Go and JavaScript.
  • Experience working with AWS (especially Lambda, SQS, RDS/Aurora, DynamoDB, Elasticsearch).
  • Experience working with Kafka and Kafka Connect/Debezium.
  • Experience working with Snowflake.
  • Experience working with SQL and writing performant SQL queries.
  • Experience with Docker and containers in general.
  • Experience with Terraform.
  • Experience working with data in the financial domains.

About our Data Engineering Team:

We live and breathe data at Enova, and without our Data Services or Business Intelligence team, it would be difficult to make sense of the 45 TB (and growing) of on-prem and Cloud-based data we have. Our team members are problem-solvers who focus on analyzing data to gain insight and value for the company. The team’s top priority is to help us get even better by applying and transforming data to achieve creative results.

About Enova:

Enova is a leading financial technology company providing online financial services through its AI and machine learning powered lending platform. Enova serves the needs of non-prime consumers and small businesses, who are frequently underserved by traditional banks. Enova has provided more than 7 million customers with over $40 billion in loans and financing with market leading products that provide a path for them to improve their financial health. Want to learn more? Just ask any of our almost 1,500 employees.

Our goal at Enova, we believe that ersity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a erse candidate pool. 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: