Disney Entertainment & ESPN TechnologyOn 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
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.
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.
Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
About The RoleWe're looking for a Software Engineer to join our Data Foundation Platform team. We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.). The successful candidate will have a passion for technology and solid coding skills. Knowledge of specific technologies may be helpful but is less important than an ability to learn quickly. We value team members who aren't afraid to dive deep when required, think for themselves, and have great communication and teamwork skills.
ResponsibilitiesContribute to developing, maintaining, updating, and expanding existing Data Platform projects written in Java, Spark, Python, and/or Scala.
Architect, design, and code shared libraries that abstract complex business logic to allow consistent functionality across our organization.
Collaborate with product managers, architects, and other engineers to drive the success of the project, team, and organization.
Contribute to developing and documenting both internal and external standards and best practices for configurations, naming conventions, partitioning strategies, and more.
Ensure high operational efficiency and quality of our projects.
Be an active participant in and advocate of agile/scrum processes as we collaborate and improve how we work together as a team.
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements.
Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, and Java.
Basic Qualifications 3+ years of relevant professional experience
3+ years of software engineering experience developing large applications.
Strong algorithmic problem-solving expertise.
Strong fundamental programming skills.
Hands-on experience with distributed systems, microservices architecture and integration frameworks.
Proficient in AWS or other cloud provider.
Strong SQL skills and ability to create queries to analyze complex datasets.
Some scripting language experience.
Willingness and ability to learn and pick up new skillsets.
Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
Hands-on experience in developing large scale distributed application on cloud platform.
Preferred Qualifications Passion for exploring new technology and participating in building proofs of concept.
Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion for automation, data, technology, and innovation.
Prior experience in building internet-scale platforms.
Experience with technologies such as Kubernetes, Kafka, Spark, Airflow, AWS
It would be awesome if you have a robust portfolio on GitHub and / or open-source contributions you are proud to share.
Experience with Java, Spring, AWS, micro-services, ReactJS
Required Education Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Additional Information
#DISNEYTECH
The hiring range for this position in Santa Monica, California is $112,600 to $151,000 per year, in Bristol, Connecticut is $112,600 to $151,000 per year, in Seattle, Washington is $118,000 to $158,200 per year. in New York City, NY is $118,000 to $158,200 and in San Francisco, California is $123,400 to $165,400 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.