Data Engineer, Analytics

Job Summary

• Design, integrate and maintain data pipelines using a variety of a structures to meet the needs of various platforms


• Develop cloud-based data storage solutions and integrations


• Consult with internal and external development partners on data management implementation


• Review new technologies and best practices in enterprise data architecture and their suitability for the organization’s mission and operations

• Collaborate with the Technology team to facilitate long-term application and systems integration through centralized cloud-based data structures

• Bachelor's degree in computer science, information science or a similar field


• 5 years of experience in an engineering role integrating multiple data streams into cloud architecture (both batch files and streaming)


• Deep understanding of relational and dimensional database paradigms as well as extensive knowledge of IT infrastructure, application programming, and web and software applications


• Extensive knowledge designing data flows using services in AWS and Microsoft Azure


• 3+ years experience of both Python and an additional JVM language


• Knowledge of using Scala in Apache Spark


• 3+ years Linux experience


• Deep experience designing relational databases (Kimball, 3NF)- PostgreSQL, Redshift, MySql


• Experience with common APIs and web services: SOAP, REST


• Experience working in an Agile environment


• Proven ability to communicate effectively with technical and non-technical stakeholders


• Strong knowledge of data usage in sports and sports business


• Excellent written and verbal communication skills


• Exceptional time management skills and ability to prioritize workflow


• Able and willing to work non-traditional hours including evenings and weekends as needed


• Must reside or be willing to relocate to Chicago by April 2021

• Post-graduate degree in computer science or a related field


• 2 years of experience leading architecture and implementation of data infrastructure


• Experience with Hadoop and MongoDB