Careers

THE COOLEST JOB IN FOOD AND SPORTS.

Data Engineer

Department:

Analytics

Location:

Chicago, Illinois

We're looking for a hands-on, collaborative 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 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 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 through data pipelines using Python and the AWS stack

·         Monitor pipeline performance and document infrastructure changes

·         Adhere to best practices for ETL and programming

·         Contribute to our overall architecture and pipeline design and make contributions to the product roadmap

Qualifications and requirements:

·         1 – 2 years of programming experience, Python strongly preferred

·         Solid understanding of data structures

·         Strong skills with SQL with the ability to write efficient queries

·         Familiarity microservices and event driven architecture

·         Familiarity with AWS big data services: S3, Redshift, Glue, EC2, Lambda, SageMaker, Dynamo

·         Excited and willing to learn new things

·         Background in computer science, engineering, mathematics, related field, or equivalent work experience

Nice to have:

·         Previous experience in an ETL or Data Engineering role, building and implementing data pipelines

·         Experience with Spark, Airflow, and other open source technologies

·         Experience working in a highly collaborative environment -- we do Agile using sprints, planning, retro, etc.

·         Experience with building data lake solutions

·         Experience with JavaScript


E15 is an equal opportunity employer.  At Levy 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.