Sr Data Engineer

$136,100 - $182,400/Yr

Disney - Santa Monica, CA

Full-time - Mid Level

Santa Monica, CA

Motion Picture and Sound Recording Industries

About the position

The role at Disney Entertainment & ESPN Technology focuses on building and maintaining the Audience Manager Platform (AMP), a centralized data platform that captures and processes consumer behavior across Disney's media channels. This position is integral to enhancing Disney's media business by ensuring reliable delivery of audience data through scalable and fault-tolerant data processing pipelines. The team is responsible for developing innovative consumer-facing products and experiences across various platforms, including Disney+, Hulu, and ESPN+.

Responsibilities

• Partner with development leads to build and maintain product-driven initiatives to improve and expand the Unified Messaging Platform.
• Enhance/improve the underlying codebase to be extensible, reusable, and maintainable.
• Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-ups, retrospectives, and sprint planning.
• Participate in on-call support.
• Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.
• Run tests and generate reports.

Requirements

• Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
• Minimum 5 years of related big data engineering experience modeling and developing large data pipelines.
• Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data.
• Strong Python and SQL skills processing big datasets.
• Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks).
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.
• Strong attention to detail and excellent analytical and communication skills.

Nice-to-haves

• Demonstrated experience with Cloud technologies like AWS (S3, ECS, EMR, EC2, Lambda, etc.).
• Solid experience with data integration toolsets (i.e Airflow), CI/CD.
• Familiarity with Scrum and Agile methodologies.

Benefits

• Medical benefits
• Financial benefits
• Bonus and/or long-term incentive units may be provided as part of the compensation package.