3+ years of software engineering, machine learning or data science experience
Experience with big data tools including Databricks, Snowflake, or similar.
Knowledge of systems applications, server architecture, cloud technologies, and web applications.
Experience working cross-functionally with teams of different levels of expertise
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.
Familiarity with the end-to-end data lifecycle: from client-side event generation to backend processing and consumption by Data Science models.
Required Education
Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Job Posting Segment:
PE - Streaming Frontend
Job Posting Primary Business:
PE - Streaming Frontend - Disney+, Web & LRD
Primary Job Posting Category:
Software Engineer
Employment Type:
Full time
Primary City, State, Region, Postal Code:
New York, NY, USA
Alternate City, State, Region, Postal Code:
USA - CA - Market St
Date Posted:
2026-01-28
Benefits
Health insuranceEquity / stock optionsPerformance bonus
Additional Information
Job Posting Title:
Software Engineer II
Req ID:
10141286
Job Description:
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.
Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
Job Summary:
Sitting inside the Product Engineering team, the Client-Data team plays a pivotal role in bridging the data requirements between our diverse portfolio of front-end applications, and engineering services teams. Our work encompasses the application of software engineering, machine learning and data science at scale, addressing challenges such as platform health monitoring and ongoing performance tracking for new application releases. We collaborate closely with stakeholders to validate product specifications, ensuring clarity and precision, while also synchronizing data-related decisions, instrumentation, and metrics across various platforms. Day to day tasks impact many aspects of the business, such as monitoring application engagement or tracking anomalous usage patterns.
Responsibilities and Duties of the Role:
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
Required Education, Experience/Skills/Training: