Product Software Engineer I

The Walt Disney Company • Seattle, NY

8h • Hybrid

About The Position

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. 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 Technology: 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. 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.

Requirements

• Experience with big data tools including Databricks, Snowflake, or similar.
• Service Reliability/Operational experience running large-scale high-performance systems & Internet services
• Ability to write and maintain reliable and understandable code in SQL, Python, Scala, or other languages.

Nice To Haves

• 1-2 years of software engineering, machine learning or data science experience
• Familiarity with the end-to-end data lifecycle: from client-side event generation to backend processing and consumption by Data Science models.
• Experience leveraging ML-driven automation to build internal tooling, streamline data pipelines, or enhance observability and monitoring capabilities.
• Familiarity with AI/ML frameworks and platforms and demonstrated ability to evaluate and integrate AI products into existing engineering workflows.

Responsibilities

• Create and maintain optimal data pipeline architecture
• Algorithm Development and Maintenance
• Develop Best Practices and Documentation
• Perform data analysis and data science projects for stakeholders

Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level