Enterprise Technology & Data Software Engineering Intern, Summer

Job  
Location Orlando, Florida, United States Business The Walt Disney Company (Corporate)
Date posted Oct. 27, 2026

The Walt Disney Company Enterprise Technology & Data organization’s mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation.

As an intern with the Enterprise Technology & Data team, you will join an organization that drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

Our team serves all domestic and international businesses across The Walt Disney Company, including Disney Studios, Walt Disney Parks & Resorts, ESPN, ABC, Marvel Studios, and Pixar. As part of Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world.

About the Role & Program

As a Software Engineering Intern, you’ll work alongside experienced engineers and technology professionals to build and improve solutions that support The Walt Disney Company.

By applying to this internship, you will be considered for multiple teams and projects where you may gain experience in areas such as software development, artificial intelligence (AI), data, automation, cloud technology, emerging technologies, or system reliability. You’ll receive mentorship, contribute to meaningful projects, and have opportunities to share your work and learn from others.

The dates of this internship are May/June 2027 through August/September 2027.

Location:

Our Summer 2027 Software Engineering internships will bein-person based in one of our three hub locations:

• Burbank, CA
• Seattle, WA

What You Will Do

• Collaborate with engineers, architects, product partners, and operations teams to understand requirements and translate business and technical needs into scalable software solutions.
• Work with data and cloud technologies to support data integration, modeling, APIs, data discovery, analytics, automation, and AI-enabled applications.
• Explore and apply AI and machine learning technologies, including generative AI, large language models, natural language processing, recommendation systems, AI agents, and AI-assisted development tools.
• Contribute to cloud, Dev Ops, CI/CD, observability, AIOps, and reliability engineering practices, including monitoring, intelligent alerting, automation, APIs, and operational insights that support reliable and scalable services.
• Follow software engineering and agile practices, including version control, testing, code reviews, coding standards, stand-ups, sprint planning, design discussions, and collaborative development.
• Document technical approaches, incorporate feedback, demonstrate solutions, and present project progress, learnings, and results to team members and leadership.

Required Qualifications & Skills

• Foundational knowledge of software engineering concepts, including data structures, algorithms, debugging, testing, and writing maintainable code.
• Familiarity with version control tools such as Git and experience working in, or an understanding of, a shared codebase.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to communicate clearly, collaborate with others, ask questions, receive feedback, and seek assistance when needed.
• Ability to work in a collaborative, fast-paced, and mentored team environment.
• Ability to learn new tools, platforms, frameworks, and technical concepts.
• Organizational skills and attention to detail when documenting work and communicating progress

Preferred Qualifications & Skills

• Exposure to databases or SQL.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Exposure to APIs, web services, containers, Dev Ops, or CI/CD concepts.
• Interest or experience in AI, machine learning, generative AI, data engineering, automation, observability, or site reliability engineering.
• Experience developing or presenting a technical project through coursework, hackathons, open-source contributions, personal projects, or internships.
• Interest in using technology to solve business and customer challenges

Education

Currently enrolled as an undergraduate junior or senior pursuing a bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Machine Learning/Artificial Intelligence,…