The Walt Disney Company-posted 3 months ago
$138,900 - $203,900/Yr
Full-time • Senior
Glendale, CA
5,001-10,000 employees

Disney Entertainment & 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.

  • Work closely with Software Engineers to understand the complex advertising ecosystem at DMED Technology.
  • Develop automated test frameworks and suites for API, UI, Integration, and data validation levels using Python.
  • Participate in design discussions to evolve the platform, enabling richer testing scenarios and simplifying defect detection and prevention.
  • Assist with triage, diagnosis, and resolution of issues discovered across teams.
  • Contribute to end-to-end acceptance tests.
  • Develop and execute manual test cases when automated testing is not feasible.
  • Leverage experience in data analytics, data engineering, data modeling, and data warehousing to enhance testing strategies and improve data quality throughout the development lifecycle.
  • Work with big data platforms to validate large-scale data sets, ensuring they meet the testing and business requirements.
  • Drive the conversion of manual tests to automated tests whenever possible.
  • Monitor and validate data used in test scenarios to ensure it accurately represents real-world conditions.
  • Work collaboratively with data engineers and other stakeholders to develop processes for improving data quality and ensuring its consistency across testing environments.
  • Implement test automation for data validation to increase the efficiency and reliability of testing processes.
  • 5+ years of relevant experience.
  • Bachelor’s or Master’s in Computer Science, Software Engineering, or related technical field or equivalent of 11 years professional experience with a non-technical degree.
  • Proficient in Python or similar object-oriented languages, automation tools (e.g., Selenium, JUnit), data engineering, SQL, and big data technologies (e.g., Spark, Hadoop).
  • Proven experience in automated testing (API, UI, integration, data validation), ETL/data accuracy validation, and end-to-end acceptance testing.
  • Strong diagnostic skills for data processing and system integration issues; familiarity with CI/CD tools.
  • Excellent cross-team collaboration, communication, and documentation skills.
  • Experience with AWS or cloud platforms.
  • Agile methodologies.
  • Machine learning.
  • Data privacy best practices.
  • A bonus and/or long-term incentive units may be provided as part of the compensation package.
  • Full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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