Sr Data Engineer

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

• Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans’ connections with the company’s brands and stories. Disney+, Hulu, ESPN, ABC, ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Commerce, Data & Identity provides the core product management functions for areas crucial to Disney’s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.

We are seeking a passionate Senior Software Engineer to join the Product Performance Team within the Data Organization at Disney Entertainment and ESPN Product & Technology. Our team is vital, owning the development of reliable data solutions that measure the product performance of Disney+.

This role involves designing, building, and testing the core algorithms and data models that generate precise and dependable browse, playback attribution, and search data. This data establishes the governed, source‑of‑truth solutions essential for measuring Disney+ product engagement and driving critical business decisions. We are looking for an individual excited by the challenge of solving complex business questions through the power of data.

• Design, implement, and deploy robust data solutions for both batch ingestion and stream processing using Scala and Python with frameworks like Spark, primarily deployed via Databricks and Airflow.
• Establish and enforce rigorous standards for code development, testing, and deployment to guarantee the highest levels of data quality, accuracy, and governance.
• Extend functionality of Product Performance Data offerings by evolving existing data models and developing new data pipelines to introduce novel metrics and dimensions critical for measuring Disney+ engagement.
• Maintain, update, and expand existing source code that powers core datasets, ensuring strict quality standards and high data reliability.
• Drive platform and business success through active collaboration with Product Managers, Data Analysts, and cross‑functional engineering teams to define requirements and deliver new data features.
• Work within a modern data and engineering tech stack, including Airflow, Spark, Databricks, Delta Lake, Snowflake, Git Hub Actions, and Jenkins.
• Proactively investigate and resolve complex data pipeline failures and quality issues, performing root cause analysis, and creating comprehensive documentation to ensure data integrity and support operational efficiency.
• Identify and…