Junior Data Engineer in Chicago, IL at KAR Global

Date Posted: 11/6/2019

Job Snapshot

Job Description

We are fast-paced, forward thinking and driven by data. We are accelerating the used car industry. We are looking for creative, talented, hard-working individuals to join us. Buckle up. It's going to be a great ride. Based in Chicago, DRIVIN is accelerating the used car industry by bringing data and technology together in a spectacular, first-of-its-kind fashion to help dealers acquire the right cars, at the right price, right now. We are committed to delivering data-driven solutions with a high-touch, personalized level of service to each of our clients. We are looking for people that will help us create a culture that is exciting, empowering, motivating and challenging. Are you interested in learning more?

DRIVIN is looking to expand our data team as we continue to grow our data platform.  The candidate should have a strong background with Python and SQL.  As a member of the data team, you will architect, plan, build, test, and deliver data solutions utilizing our AWS enterprise data platform.

DRIVIN has a polyglot data model using many cutting-edge data platforms including AWS Redshift for Data Warehouse, Elastic Search for location-based searching, and Postgres for transactional data and product delivery. Our delivery framework is comprised of Python/Docker on ECS, Spark on EMR, and Jenkins for CI/CD.

This candidate should be a self-starter who is interested in learning new systems/environments and passionate about developing quality supportable data service solutions for internal and external customers.


  • 1-2 years’ experience Postgres SQL development including functions, stored procedures, and indexing or equivalent (required).
  • Experience in production data management in high availability product delivery ODS / RDBMS or equivalent (required).
  • Experience planning and designing maintainable data schemas (required).
  • 1-2 years’ Experience with Python, Docker, and data warehouse environments (required).
  • Experience using Github / Jenkins (CI/CD) / Artifactory / PyPy or comparable delivery stacks (preferred).
  • Experience with Postgres, Elastic Search, AWS EMR, and AWS ECS (preferred).
  • Experience with AWS Redshift, MPP, or Dynamo DB (preferred).
  • Experience with Kinesis/Kafka (preferred).
  • Experience working with large enterprise data lakes (preferred).
  • Experience working with data analysis tools / applications such as Tableau, Qubole, or equivalent (preferred)


  • Work with product, data science, analytics, and engineering teams to learn project data needs and define project scope.
  • Design and planning of data services solutions on the DRIVIN DAAS Platform.
  • Building and delivery of Python/Docker feed framework data pipeline jobs and services.
  • Contribute to the Data Engineering team delivery framework including building of re-usable code, implementing industry best practices, and maintain a common delivery framework.
  • Monitoring, maintenance, documentation, and incident resolution of scheduled production data jobs supporting internal and external customers data needs.