Lead Data Engineer

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We're looking for a hands-on, collaborative Lead 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 design 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 enforce Data Engineering best practices, as well as mentor a group of Data Engineers.

Core Responsibilities:

  • Collaborate with our reporting, analytics, and data science teams to understand data sources and business requirements
  • 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 guide infrastructure changes
  • Make design decisions and adhere to best practices for ETL
  • Contribute to our overall architecture design and make contributions to the product roadmap
  • Work within a collaborative team, adhering to Agile best practices, documentation, and knowledge sharing
  • Mentor and help lead a team of Data Engineers
  • Enforce best practices on how the Data Engineering team operates

Qualifications and Requirements:

  • Strong skills with Python, PySpark, and SQL
  • Experience managing and developing ETL processes and data pipelines
  • Strong familiarity with AWS big data services: S3, Redshift, Glue, EC2, SageMaker, Dynamo
  • Experience working in a highly collaborative environment -- we do Agile using sprints, planning, retro, etc.
  • Excited and willing to learn new things
  • 5+ years in an ETL or Data Engineering role
  • 3+ years leading a team of engineers or developers
  • Background in computer science, engineering, mathematics, related field, or equivalent work experience

Nice to have:

  • Interest or experience in DevOps and CI/CD
  • Experience architecting data lake solutions
  • Experience with JavaScript
  • Experience leading a team of developers
  • 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. www.e15group.com  

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. www.levyrestaurants.com

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

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Location

980 N Michigan Ave, Chicago, IL 60611

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