Staff Data Engineer

The Lead Data Engineer architects and builds scalable data pipelines to process large volumes of streaming and user engagement data. This role guides a team of engineers in developing real-time analytics solutions that power content recommendations and business insights across ESPN properties.

Leads the design and architecture of enterprise data solutions, building scalable data pipelines and data products that power analytics, reporting, and business intelligence at ESPN. Collaborates with engineering and business stakeholders to solution end-to-end data challenges across large sports datasets.

Designs and builds scalable data pipelines and AI/ML infrastructure to support ESPN's analytics and personalization. Implements feature engineering, model training, and deployment systems to power data-driven products.

Senior data engineer responsible for building and maintaining scalable data pipelines and infrastructure. Focuses on data ingestion, transformation, quality, and enabling downstream analytics and data science use cases.

This role is for a Risk & Trading Associate working evenings and weekends, responsible for monitoring and managing trading risks in a sportsbook environment. The associate will analyze market movements, set limits, and ensure compliance with risk policies to protect the company's exposure.

The Media Operations Associate provides operational support for media campaigns during evenings and weekends, focusing on ad trafficking, campaign management, and performance monitoring. The role ensures smooth delivery and optimization of campaigns, troubleshooting issues as they arise to maintain performance standards.

This role is for a Trading Operations Associate working evenings and weekends, responsible for managing trading operations in a sportsbook environment. The associate will oversee trade execution, monitor market conditions, and ensure operational efficiency and accuracy.