Senior Software Engineer - Big Data

Disney Entertainment & ESPN Product & Technology is at the forefront of reimagining magical viewing experiences for the world's most beloved stories while transforming Disney's media business for the future. The Product & Data Engineering team plays a crucial role in developing end-to-end solutions for Disney's world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+.

As a Senior Software Engineer on the Discovery, Merchandising & Experimentation Data team, you'll be responsible for critical data products and services that power A/B testing, personalization, and targeted campaigns across streaming platforms. The role involves working with cutting-edge technologies including AWS, Databricks, Airflow, and Spark, using languages like Scala, Python, Kotlin, and TypeScript.

The position offers an opportunity to:

• Design and build systems processing data at petabyte scale
• Work on products that reach millions of consumers globally
• Contribute to innovation that shapes industry norms
• Collaborate with cross-functional teams to improve product and customer experience

The compensation package is competitive, ranging from $138,900 to $203,900 depending on location, with additional benefits including medical, dental, and vision insurance. The role offers the chance to work with world-class leaders and be part of a team that's transforming how audiences experience entertainment.

This is an excellent opportunity for experienced engineers passionate about big data and scalable systems to join a company known for innovation and creativity. You'll be working on projects that directly impact how millions of users interact with Disney's streaming platforms while having the chance to grow professionally in a collaborative, forward-thinking environment.

The ideal candidate will bring strong technical expertise in data engineering, excellent problem-solving abilities, and a passion for creating efficient, scalable solutions. If you're excited about working with massive datasets, building robust data pipelines, and being part of a team that powers personalization and experimentation at scale, this role offers the perfect blend of technical challenge and creative opportunity.