Software Engineer, Data Platforms

Job Description

We're looking for a mid-level software engineer to join our Core Data Platform application team. We build and provide applications that are used by data engineering teams and data scientists across Disney, 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.

Responsibilities:

Responsibilities:
• Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies. We operate in real-time with high-availability.
• Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
• Have pride – Ensure performance isn't our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
• Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.

Basic Qualifications:
• 1+ years relevant experience
• Proficient in at least one of the following programming languages: Scala, Python, Java

Preferred Qualifications:
• Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
• Passion and creativity – Are passionate about data, technology, & creative innovation
• Affinity for sports, entertainment or streaming
• Prior experience building internet scale platforms – handling terabyte+ scale data, operationalizing clusters with hundreds of compute nodes in a cloud environment
• Experience with technologies such as Kubernetes, Kafka, Spark, Airflow, AWS
• Have a robust portfolio on Github and / or open source contributions you are proud to share

Required Education
• Bachelor's Degree in Computer Science or related technical discipline or its equivalent

About Disney Streaming:

Comprised of the Company's international business units and various direct-to-consumer streaming services, Disney Media & Entertainment Distribution (DMED) aligns technology, media distribution and advertising sales into a single business segment to create and deliver personalized entertainment experiences to consumers around the world.

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: media networks, parks and resorts, studio entertainment, consumer products and interactive media. 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 segment we call Disney Streaming.

Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

Jobcode: Reference SBJ-d9b0pz-3-144-86-138-42 in your application.