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Lead Data Quality Engineer

The Walt Disney Company is a leading diversified international family entertainment and media enterprise with three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
Glendale, CA, USABristol, CT 06010, USASan Francisco, CA, USA
$152,200 - $223,600
Data
Staff Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
Entertainment · Enterprise SaaS

Job Description

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 DE&E Product & Technology team is looking for a Lead Data Quality Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality processes tailored to each team's unique needs.

In Ads, your work will help ensure that ad delivery systems serve relevant, timely, and high-quality advertisements, maximizing both viewer satisfaction and business revenue. For Data, you'll ensure the integrity and performance of large-scale pipelines that power analytics and insights used across the organization. In eCommerce, you'll help maintain seamless shopping experiences by catching integration and service-level issues early in the development cycle.

When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As a Lead Data Quality Engineer, you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence.

This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments.

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.

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.

Last updated 16 hours ago

Responsibilities For Lead Data Quality Engineer

  • Validate ETL logic, business logic, and data quality in Snowflake, Databricks, and other data platforms
  • Partner with data engineers to identify potential failure points and proactively help catch issues early
  • Ensure the quality of every release using rigorous, data-driven testing practices
  • Develop automated and reusable tests to improve coverage
  • Translate business and technical requirements into test scenarios
  • Contribute to and enhance the existing test automation framework
  • Collaborate with Data Analysts, Product Managers, and Engineering teams

Requirements For Lead Data Quality Engineer

Python
  • Minimum of 7 years of related work experience
  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field
  • Strong experience validating data pipelines, ETL processes, and data warehouses in production environments
  • Expert-level SQL skills and hands-on experience working with large datasets
  • Proficiency with Snowflake, Hive, Databricks, and other modern data platforms
  • Solid Python skills and experience with test automation for data pipelines
  • Familiarity with tools like Airflow and Spark and understanding of CI/CD principles
  • Strong collaboration and communication skills

Benefits For Lead Data Quality Engineer

Medical Insurance
401k
Equity
  • Medical Insurance
  • 401k
  • Equity

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