Senior Data Engineer, Data Platform

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.
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
We are looking for a Senior Data Engineer to help us grow the data platform. You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star+.
You'll get to understand the challenges of facilitating a high-quality, flawless media streaming experience across mobile, connected devices, and web, all while using the latest technologies available from AWS and beyond. If you're interested in working in a highly collaborative team environment like this, please get in touch - we'd love to hear from you!
Responsibilities

• Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.
• Build tools and services to support data discovery, lineage, resiliency, and privacy compliance across the data platform
• Design and develop CI/CD processes for infrastructure components that ensure high availability and agility
• Maintain software engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation
• Evangelize the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption

Basic Qualifications

• Bachelor's degree in Computer Science, Information Systems, Software, Electrical, or Electronics Engineer, or comparable field of study, and/or equivalent work experrience
• Minimum of 5 years of relevant professional experience
• Experience with Python and Airflow
• Experience deploying and running cloud-based data solutions (preferably AWS) and infrastructure-as-code frameworks like Terraform
• Knowledge of Data Engineering practices and tools, such as Spark, Snowflake, ETL concepts, etc.
• Ability to dive deep into any technical component as well as understand the overall systems architecture.
• You care deeply about craftsmanship in your software, and can work backwards from the customer experience.
• You have excellent written and verbal communication skills.

Preferred Qualifications

• Experience with Scala and application development

#DISNEYTECH
The hiring range for this position in Santa Monica, CA and Bristol, CT is $136,038 to $182,490 per year, in Seattle, WA and New York, NY is $142,516 to $191,180 per year and in San Francisco, CA is $148,994 to $199,870 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.