Sr Data Engineer - Hulu Audience Integration

Disney Entertainment and ESPN Product & Technology is a global organization at the heart of Disney's media business. The Hulu Audience Integration team focuses on data and supporting services, maintaining the Nova system - the backbone of Hulu lifecycle marketing activities.

As a Senior Data Engineer, you'll work on the ACP project, focusing on subscription data model unification and migration. You'll design and implement new data pipelines in an on-prem environment while ensuring backward compatibility and zero downtime. The role involves working with both batch and real-time data processing.

Key Projects:

• Nova system maintenance and enhancement
• ACP (subscription data model unification)
• Nova modernization project including refactoring legacy data pipelines
• Integration with various data sources and downstream channels

Technical Environment:

• Hadoop ecosystem (HDFS, Hive, Spark)
• Modern cloud-based data technologies (Redshift, Snowflake)
• Java Spring Boot services
• Both batch and real-time data processing

The position offers exposure to both traditional Hadoop ecosystem and modern cloud-based data technologies, providing an opportunity to work with cutting-edge tools while solving complex data challenges at scale.

Why Join:

• Building the future of Disney's media technology
• Work with global reach and impact through brands like Disney+, Hulu, ESPN, ABC
• Innovation opportunities in groundbreaking products and techniques
• Competitive compensation package including base salary, bonus potential, and benefits
• Collaborative environment with cross-functional teams

The role combines technical expertise with business impact, offering the chance to shape how millions of users interact with Disney's streaming platforms. You'll be part of a team that values both technical excellence and innovation while working on systems that directly impact user experience and business success.

Location options include major tech hubs (Santa Monica, San Francisco, New York, Seattle) with competitive location-based compensation. The role offers the opportunity to work with enterprise-scale data systems while contributing to one of the world's leading entertainment companies.