Job Summary:
Disney Entertainment & ESPN Technology
On any given day at Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that is evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
A few reasons why we think you would love working for Disney Entertainment & ESPN Technology
The Identity Engineering team provides critical consumer facing access, security, and identification services across The Walt Disney Company (TWDC). This includes our variety of brands like Disney, Hulu, ESPN, ABC, Marvel, and National Geographic to name a few. Nearly every digital consumer experience across the company relies on Identity Platform for mission critical business operations, including streaming video content on Disney+, booking Disney Parks and Resort vacations, playing ESPN Fantasy Football, buying products from Shop Disney and many more. These identity services are responsible for over 300 million guest and fan accounts, and billions of transactions per year. As part of the team, you will be tackling cutting edge issues that come with cloud-based infrastructures, platform resiliency requirements, security, and data migrations at scale.
These challenges are regularly given on tight timelines, and we are looking for experienced engineering team members able to make the right decisions and drive them to execution. This position will serve as a primary contributor on the team as the team navigates the changing technology landscape. Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets. As a member of this team you will collaborate across Engineering and Data teams to identify internal and external data sources to design and implement ETL strategy, automation frameworks, and scalable data pipelines.
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#DISNEYTECH
The hiring range for this position in New York is $156,300-$209,600 per year. 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.