Lead Data Quality Engineer

The Walt Disney Company

full-time

Posted on: 9/2/2025

Origin: • 🇺🇸 United States • California

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💰 $152,200 - $223,600 per year

Senior

AirflowAWSCloudETLPythonRokuSparkSQL

About the role

Technology is at the heart of Disney’s past, present, and future. 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. Build robust test automation frameworks and quality processes tailored to each team’s unique needs. 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.

Minimum of 7 years of related work experience Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work 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. Experience with BDD frameworks (e.g., Behave) (preferred) Experience working in AWS or other cloud environments (preferred) Familiarity with open-source data quality tools like Deequ, Great Expectations, or similar custom frameworks (preferred)