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Senior Data Engineer | Euro Disneyland Imagineering SarL | Remote (United States)

February 23, 2026

Job Posting Title: Senior Data Engineer Req ID: 10099405 Job Description: Department/Group Overview: Disney Entertainment & ESPN Technology 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 <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.</li> <li class=" leading-snug mb-2 pl-2">Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.</li> <li class=" leading-snug mb-2 pl-2">Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.</li> </ul> Commerce, Growth & Identity (CGI) The Commerce, Growth & Identity (CGI) team is dedicated to three business-critical areas at Disney that will help transform its media business. They create seamless user experiences for consumers who can choose from a wide range of subscription plans, enabling more choice and flexibility. The CGI team is also focused on building innovative and cutting-edge capabilities that will drive subscriptions, engagement, and monetization across Disney’s streaming and digital products. Job Summary: The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ and Hulu platforms, in a highly collaborative environment. ML-based services are embedded inside the entire life cycle of search journey, from query understanding, semantic retrieval, and engagement-based re-ranking of contents. Working closely with our core search counterpart team and product stakeholders, we are constantly testing new ideas, and bringing the proven ones into fruition, through experimentation. In this role, you will be partnering closely with ML engineers/data scientists to help automate and manage their data needs for regular training, and online inference. You will be able to own the entire lifecycle of data pipelines, communicate your requirements with upstream DATA teams, bring your data engineering skills and ideas into life by engineering eﬃcient data pipelines, and help supporting the feature requirements by the ML engineers/data scientists. Responsibilities and Duties of the Role: <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Design and develop oﬄine (batch)/near-line (streaming) data jobs.</li> <li class=" leading-snug mb-2 pl-2">Collaborate with ML and data practitioners to automate their pipelines.</li> <li class=" leading-snug mb-2 pl-2">Build tooling and low-latency services to enable and support event-driven</li> <li class=" leading-snug mb-2 pl-2">Ability to work on multi-faceted projects with engineers from diverse backgrounds, heterogenous skills and across teams.</li> <li class=" leading-snug mb-2 pl-2">Work in an Agile environment that focuses on collaboration and teamwork</li> </ul> Required Education, Experience/Skills/Training: Basic Qualifications <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">5+ years of software experience, with 3+ years of relevant data and software experience.</li> <li class=" leading-snug mb-2 pl-2">Knowledge of the Python/Java data ecosystem.</li> <li class=" leading-snug mb-2 pl-2">Experience in building large datasets and scalable services</li> <li class=" leading-snug mb-2 pl-2">Experience deploying and running services in AWS, and engineering big-data solutions using technologies like Databricks, EMR, S3, Spark</li> <li class=" leading-snug mb-2 pl-2">Experience loading and querying cloud-hosted databases such as Redshift and Snowﬂake</li> <li class=" leading-snug mb-2 pl-2">Experience designing and developing backend microservices for large scale distributed systems using gRPC or REST.</li> <li class=" leading-snug mb-2 pl-2">Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS or GCP.</li> </ul> Preferred Qualifications <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Knowledge in optimizing Spark jobs.</li> <li class=" leading-snug mb-2 pl-2">Experience building streaming pipelines using Kafka, Spark, Kinesis</li> <li class=" leading-snug mb-2 pl-2">Mentor colleagues on best practices and technical concepts of building large scale solutions</li> </ul> Required Education <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work</li> </ul> The hiring range for this position in LA/Santa Monica/Bristol 136,100.00 182,400.00 and Seattle/NYC 142,600.00 191,100.00 and Bay Area 149,000.00 199,800.00. 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. Job Posting Segment: Product & Data Engineering Job Posting Primary Business: PDE – Engagement Experiences & Platforms Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA – CA – 2500 Broadway Street, USA – NY – 1211 Avenue of the Americas Date Posted: 2024-09-13

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Get Hired Faster With COMPANY_NAME!

1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process

2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!

3: The Type of Resume You Need to Get Priority Placement

4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME

5: COMPANY_NAME Helps You Grow Your Career

6: The Easiest Way To Find A Job

7: Find Roles That Offer Growth, Culture & Benefits

8: Get Support With Resume, Interviews & Career Planning

9: Your Future Starts Today

10: Get Hired Within 15 to 30 Days With COMPANY_NAME

Senior Data Engineer | Euro Disneyland Imagineering SarL | Remote (United States)

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

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