Senior Data Engineer - Quality

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.

The team is looking for a Senior Software 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 Senior Software 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.

If you're excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we'd love to hear from you.

Role Location :

This is a Hybrid role requiring 4 days onsite (Monday-Thursday) in one of the following office locations :

Santa Monica,

Glendale, CA

Seattle, WA

New York, NY

Responsibilities include :

Validate ETL logic, business logic, and data quality in Snowflake, Databricks, and other data platforms before code changes are released to production.

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, development velocity, and reduce regression risk.

Translate business and technical requirements into test scenarios to validate KPIs, metrics, and business rules.

Contribute to and enhance the existing test automation framework, with a focus on scalability and maintainability.

Collaborate closely with Data Analysts, Product Managers, and Engineering teams to ensure accuracy, completeness, and usability of the data.

Responsibilities and Duties of the Role :

Part of product teams in building architectures which are robust, fault-tolerant, and cloud- native. Builds solutions for problems of sizeable scope and complexity that have been successfully deployed to customers / users. Influences and drives software engineering best practices within the team

Technically lead and deliver multiple projects utilizing an Agile methodology while reviewing team members code. Participates in developing technical and / or business approaches; and new / enhanced technical tools.

Owns the design of software programs or systems within the team, and within the organization. Writes codes that establishes and enhances frameworks. Reviews code for the design, testability and clear usability. Builds solutions that scale and perform. Identifies opportunities to improve the system / product / services with each iteration.

Required Education, Experience / Skills / Training :

5+ years of relevant experience

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 (terabytes or more), capable of identifying data anomalies through efficient queries.

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; able to work effectively across cross-functional teams.

B.S. in Computer Science (or equivalent degree or work experience)

Nice to have :

Experience with BDD frameworks (e.g., Behave)

Experience working in AWS or other cloud environments

Familiarity with open-source data quality tools like Deequ, Great Expectations, or similar custom frameworks

The hiring range for this position in Los Angeles, CA is $138,900 to $186,000 per year, is $145,400 to $195,000 per year in Seattle, WA and is $145,400 to $195,000 per year in New York City, NY. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and / or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and / or other benefits, dependent on the level and position offered.

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