Degree in Electrical Engineering
Algorithms, Apache Airflow, Data Architecture, Data Engineering, Data Modeling, Data pipelines, Data Visualization, Databricks, Design, Effective communication skills, Github, Jupyter Notebook, Large data sets, Machine learning techniques, Python Programming, Scikit-learn, SciPy, Snowflake
On any given day at Disney Entertainment & ESPN Technology, we’re 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’s 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’d love working for Disney Entertainment & ESPN Technology
The Product & Data Engineering team is responsible for end to end development for Disney’s world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.
Job Summary
Data Engineers at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Data Engineers in Machine Learning on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
As a Principal Data Engineer in the Data Platforms team, you will be partnering closely with the Engineering, Architecture, and Product teams to develop models for tackling a multitude of exciting challenges, including asset lifetime value estimation, platform performance, inventory reliability, forecasting, and more. We look for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.
Responsibilities
Basic Qualifications
Preferred Qualifications
DISNEYTECH
The hiring range for this position in Santa Monica & Glendale, CA and Bristol, CT is $164.492 to $220,660 per year, in Seattle, WA and New York, NY is $172,282 to $231,110 per year, and in San Francisco, CA is $180,154 to $241,760 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.
About Disney Direct to Consumer:
Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer.
From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started! Disney Streaming Services is a business unit within Disney’s Direct-to-Consumer and International (DTCI) segment that oversees all consumer
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bengaluru, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Mumbai, Maharashtra, India
2-4 year
Orlando, FL, USA
2-4 year
Orlando, FL, USA
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Taipei City, Taiwan
2-4 year
San Francisco, CA, USA
2-4 year
Glendale, CA, USA
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bengaluru, Karnataka, India
6-8 year
Mumbai, Maharashtra, India
2-4 year
Santa Monica, CA, USA
6-8 year
Lake Buena Vista, FL, USA
4-6 year
San Francisco, CA, USA
8-10 year
Santa Monica, CA, USA
8-10 year
Seattle, WA, USA
8-10 year
Bengaluru, Karnataka, India
4-6 year
Mumbai, Maharashtra, India
4-6 year
New York, NY, USA
8-10 year
Bristol, CT, USA
8-10 year
New York, NY, USA
4-6 year
Bristol, CT, USA
4-6 year
Santa Monica, CA, USA
6-8 year
New York, NY, USA
6-8 year
Santa Monica, CA, USA
8-10 year
New York, NY, USA
8-10 year
Orlando, FL, USA
10-12 year
Glendale, CA, USA
10-12 year
Seattle, WA, USA
10-12 year
Anaheim, CA, USA
10-12 year
Lake Buena Vista, FL, USA
10-12 year
Santa Monica, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
New York, NY, USA
4-6 year
Santa Monica, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Bristol, CT, USA
12-14 year
Burbank, CA, USA
12-14 year
Santa Monica, CA, USA
0-2 year
Seattle, WA, USA
0-2 year
Glendale, CA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
Santa Monica, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
8-10 year
New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
New York, NY, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
Bristol, CT, USA; Burbank, CA, USA; Glendale, CA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
2-4 year