Sr Software Engineer

Overview

Disney Entertainment & ESPN & Technology:
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 evolving our streaming and digital products, powering worldwide advertising and distribution, or delivering Disney’s 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.

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 design and build infrastructure powering Disney’s media, advertising, and distribution businesses for years to come.
• Reach & Scale:
  The products and platforms this group builds delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+ and more.
• Innovation:
  We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment, and news.

Content Platform & Operations is responsible for delivering Disney’s entertainment and sports content to millions daily. This includes developing, operating, and managing a global content supply chain from finalizing a TV show/movie or live piece of content to audiences worldwide in their preferred language and format. This team also manages technology operations in Latin America, Europe, and Asia Pacific.

We are seeking a highly skilled Senior Software Engineer to join our Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on supporting our existing Data warehouse. You will build scalable, reliable, and high-performance data pipelines and data models that enable analytics, downstream applications, operational workflows, and visualizations. You will work closely with product managers, software engineers, data consumers, and cross-functional partners to ensure data is accurate, accessible, and aligned with business needs across Disney’s direct-to-consumer lines of business.

You will work closely with an existing team expanding Disney’s internal capability set. Leveraging software engineering principles and cloud infrastructure, you will build robust, extensible services that drive autonomous workflows at scale.

• Write and maintain software solutions:
  Design, write, test, and deploy high-quality code to develop reliable, maintainable data solutions.
• Collaborate with cross-functional teams:
  Work with platform engineers, product teams, and stakeholders to ensure technical solutions support business goals and content strategies.
• Production support:
  Monitor and optimize production systems, ensuring platform stability, performance, and uptime.
• Mentorship:
  Provide technical guidance and mentorship to junior engineers, fostering collaboration and continuous learning.

• 5+ years of relevant industry experience in data engineering or architecture.
• Proven track record of building and supporting production data pipelines and data platforms.
• Extensive experience with event streaming systems (e.g., Kafka) and data store technologies like Snowflake and Databricks.
• Proficiency with ETL/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow.
• Deep understanding of data modeling concepts and robust SQL development.
• Expertise in designing scalable, cost-effective cloud architecture and infrastructure.
• Hands-on experience building and maintaining automated CI/CD pipelines.
• Full-lifecycle application development experience, including unit testing, code reviews, and documentation.
• Familiarity with Agile/Scrum methodologies in a collaborative team environment.
• Excellent oral, written, and cross-functional communication skills.
• Ability to work effectively with geographically distributed teams.

• Experience with cloud-based data platforms…