Senior Software Engineer - Big Data

On any given day at Disney Entertainment & ESPN Product & 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.

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.

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

• Building the future of Disney’s media business: Our technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.

• 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.

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

Job Summary:

Within the Product & Data Engineering group we are seeking a Senior Software Engineer to join the Discovery, Merchandising & Experimentation Data team. This team is directly responsible for several critical data products and services that power A/B testing, personalization, and targeted campaigns across our streaming platforms. The ideal candidate for this role will have a strong technical background and is passionate about designing and building systems to process data at scale to provide business value and unlock powerful insights. Our tech stack includes AWS, Databricks, Airflow, Spark, and languages include Scala, Python, Kotlin, and Typescript.

Responsibilities:

• Contribute to the design and growth of our Data Products and Services enabling experimentation and personalization at petabyte scale, working across the stack from big data to backend services and APIs

• Maintain detailed documentation of your work and changes to support data quality and data governance

• Work with stakeholders and partner teams to identify and solve business needs in the domain of data and data access, particularly in the space of using experimentation and data to improve our product and customer experience

• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers

• Be an active participant and advocate of agile practice to ensure health and process improvements for your team

Basic Qualifications:

• 5+ years of software or data engineering experience

• Validated experience with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow)

• Demonstrated expertise in modeling data to support business needs at scale

• Knowledge of API design and best practices, including REST and GraphQL

• Strong programming skills in Java, Scala and/or Python

• Acts as a problem solver with strong attention to detail and excellent analytical and communication skills, with an ability to collaborate across multiple business areas

• Bachelor’s degree in Computer Science or a closely related field

Preferred Qualifications:

• Masters Degree in a related field

• Related certification/s

• Experience working with A/B testing, bandits, or other mechanisms for measuring product performance in a controlled fashion

• Understanding of approaches to model conversion and engagement in the context of a streaming application

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