Data Engineer II - Audience Manager Platform
USA - CA - 1200 Grand Central Ave, United States
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Full Time Mid-level / Intermediate USD 104K - 140K
The Walt Disney Company
The mission of The Walt Disney Company is to be one of the world's leading producers and providers of entertainment and information.Job Posting Title:
Data Engineer II - Audience Manager PlatformReq ID:
10126777Job Description:
Disney Entertainment and 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:
1. 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.
2. 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.
3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems.
Job Summary:
Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
Data is essential for all our decision-making needs whether it’s related to product design, measuring advertising effectiveness, helping users discover new content or building new businesses in emerging markets. This data is deeply valuable and gives us insights into how we can continue improving our service for our users, advertisers and our content partners. Our Audience team is seeking a highly motivated Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.
Responsibilities
Build and maintain scalable data pipelines and ETL processes in support of analytics and audience engagement initiatives
Contribute to the development and optimization of data models and warehouse structures for reporting and analysis
Work with tools and technologies including Hadoop, AWS, Snowflake, Spark, and Airflow
Collaborate closely with Data Engineers, Data Product Managers, and Analysts to understand requirements and deliver reliable data solutions
Participate in code reviews, testing, and documentation to ensure quality and maintainability of data solutions
Monitor and troubleshoot data pipeline issues to ensure performance and reliability
Support data governance and data quality initiatives through documentation and validation
Basic Qualifications
3 years of professional experience as a Data Engineer or in a similar role working with large-scale data systems
Proficient in SQL for data extraction and transformation
Experience with one or more distributed data processing frameworks (e.g., Spark, Hive, Presto)
Solid programming skills in Python, Scala, or Java
Familiarity with modern cloud data platforms (e.g., Snowflake, Redshift, BigQuery)
Exposure to data pipeline orchestration tools such as Airflow or similar
Understanding of basic data modeling principles and warehouse design
Strong analytical and problem-solving skills
Comfortable working in Agile teams and adapting to changing priorities
Required Education
Bachelor’s or Master’s Degree in Computer Science, Information Systems or related field
Job Posting Segment:
Product & Data EngineeringJob Posting Primary Business:
PDE - Engagement Experiences & PlatformsPrimary Job Posting Category:
Data EngineeringEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Glendale, CA, USAAlternate City, State, Region, Postal Code:
Date Posted:
2025-07-31Tags: Agile Airflow AWS Big Data BigQuery Computer Science Data governance Data pipelines Data quality Engineering ETL Hadoop Java Pipelines Python Redshift Scala Snowflake Spark SQL Streaming Testing
Perks/benefits: Equity / stock options Salary bonus Team events
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