On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. 

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology 

1. Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come. 

2. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. 

3. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. 

The Product & Data Engineering team is responsible for end to end development for Disney’s world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data. 

• Build and maintain audience platform initiatives to improve and expand audience targeting capabilities. 
• Improve the underlying codebase to be extensible, reusable, and maintainable.
• Redesign existing data models and pipelines to modernize and improve performance and efficiency.
• Promote and support Agile methodologies such as Scrum by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning. 
• Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes. 
• Participate in on-call support.
• Serve as an advanced resource to other Data Engineers on the team, and mentor and coach junior members of the team helping to improve their skills, knowledge, and productivity. 
• Participate in code reviews and problem-solving. 

Basic Qualifications:

• 6+ years of big data engineering experience modeling and developing large data pipelines.
• Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data.
• Strong Python and SQL skills processing big datasets.
• Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks).
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices. 
• API and backend development experience. 
• You are a problem solver with strong attention to detail and excellent analytical and communication skills.

Preferred Qualifications:

• In-depth experience with Cloud technologies like AWS (S3, ECS, EMR, EC2, Lambda, etc.).
• Solid experience with data integration toolsets (i.e Airflow), CI/CD.
• Familiar with Scrum and Agile methodologies.

Required Education:   

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 
• Minimum of 4 years related work experience.