Senior Data Engineer




Chicago, Illinois

We're looking for a hands-on, collaborative Senior Data Engineer to join our Data Engineering team. When you get out of bed in the morning, you look forward to building solutions, you love working with data, and you enjoy working as a team.

In this role, you'll have the opportunity to make code decisions and build cloud infrastructure and pipelines that will deliver data solutions to our Food and Beverage and Sports industry clients. You will report to our Director of Data Engineering and help bring best practices to the team while working with a team of Data Engineers.

If you have a git repository, we'd be excited to see it!

Core Responsibilities

  • Collaborate with our reporting, analytics, and data science teams to understand data sources and business requirements
  • Work within a collaborative team, adhering to Agile best practices, documentation, and knowledge sharing
  • Gather, clean, enrich, and transform data to feed internal and external client needs
  • Define, build, test, and implement data pipelines, batch and streaming
  • Monitor pipeline performance and document infrastructure changes
  • Make code decisions and adhere to best practices for ETL and programming
  • Contribute to our overall architecture and pipeline design and make contributions to the product road map

Qualifications and Requirements

  • 3+ years experience programming with Python is required
  • 3+ years in an ETL or Data Engineering role, building and implementing data pipelines
  • Strong skills with PySpark and SQL with the ability to write efficient queries
  • Familiarity with AWS big data services: S3, Redshift, Glue, EC2, Lambda, SageMaker, Dynamo
  • Experience working in a highly collaborative environment -- we do Agile using sprints, planning, retro, etc.
  • Experience with Airflow and other open source technologies
  • Excited and willing to learn new things
  • Background in computer science, engineering, mathematics, related field, or equivalent work experience

Nice to Have

  • Interest or experience in DevOps and CI/CD
  • Experience with building data lake solutions
  • Experience with JavaScript
  • Experience with Netezza and Data Stage

About E15
At E15, we are the spark that ignites. Our team delivers next-generation insights based on data, not hunches, to drive business in MLB, NHL, NBA, NFL, College Sports, and beyond. E15 brings unmatched industry intelligence and cutting edge analytics to sports, entertainment, hospitality, and retail industries to help companies make forward-looking decisions to benefit their business, fans and customers.  

About Levy
Levy is the leader in Sports and Entertainment dining, catering such renowned sports venues at Wrigley Field in Chicago, STAPLES Center and Dodger Stadium in Los Angeles, Ford Field in Detroit and Churchill Downs in Louisville. Levy also caters events including Super Bowls, World Series, NASCAR Racing, the Kentucky Derby, the U.S. Open Tennis Tournament and the Grammy Awards.

E15 is an equal opportunity employer. At E15 we are committed to treating all Applicants and Team Members fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. 

The Company is not able to sponsor employment visas for this position