Job Summary:

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

• 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.

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.
 

The team currently is responsible for ingesting all telemetry for Disney Plus, Star Plus, and ESPN Plus – landing the foundational datasets in a timely, reliable manner. The datasets are used across thousands of individuals for use cases related to data science, analytics, executive reporting, and operational use cases. The team also is tasked with providing data engineering tooling that will cascade the effectiveness of the Core Data team to the rest of the data engineering organization.
 

Job Summary:

We are seeking a Manager to guide, mentor, challenge, and develop the Core Data Engineering team within the Disney Entertainment & ESPN Technology. The leader will be responsible for building out our foundational data platform and supporting services that scale to the entire organization. This individual should thrive under pressure - growing the efficiency, creativity, and morale of the entire team. In addition, The person will have excellent communication skills, and be required to formulate rapport with dozens of both downstream consumption teams and upstream producing teams.
 

If you are someone who loves working through difficult technical and workflow challenges and has the proficiency of reducing friction and focusing on reliability and delivery, then this role will be a phenomenal fit for you!
 

Responsibilities and Duties of the Role:

• Help build and maintain an engineering culture that embraces diversity and fosters trust and innovation within the team
• Build and mentor high performance teams that focus on stable, reliable, scalable and high performant data pipelines that power the foundational data platform
• Develop a strong technical platform vision that encourages team members to build configuration driven platform tools to allow the principles of the team to scale throughout the organization
• Collaborate with Data Product Managers, Data Architects, Software and Data Engineers, and leadership to develop strong business relationships and drive innovative business driven solutions.
• Be an active participant with all agile related processes, helping develop and refine existing processes to enhance delivery velocity
• Set engineering standards for the team, ensuring the production of high quality code, operational continuity and stability
• Have an affinity for clear communication, prioritization, and helping others in our organization wherever possible

Basic Qualifications

• 8+ years of relevant professional experience
• Experience scaling and leading a team of 5+ members
• 5+ years work experience in building complex data pipelines. Strong background in both stream processing and batch processing methodologies.
• 5 + years of proficient SQL experience, working with a variety of different database systems including distributed systems such as Spark, Hive, BigQuery, Snowflake, Redshift.
• Proven experience in programming languages including scripting (e.g. Scala, Python, Bash).
• Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
   

Preferred Qualifications

• Strong project and program management experience in agile fast paced environments
• Familiarity with data exploration / data visualization tools like Tableau, Looker, Databricks, etc.
• Strong communication skills - written and verbal presentations
• Comfortable working in a fast-paced and highly collaborative environment
• Excellent conceptual and analytical reasoning competencies
   

Required Education

• Bachelor’s degree Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study in computer science, EE or other quantitative subject area.
• Master’s degree a plus
  
   

The hiring range for this position in Santa Monica, California is $164,492 to $220,600 per year, in Bristol, Connecticut is $164,492 to $220,600 per year in Seattle, Washington is $172,282 to $231,110 per year, in New York City, NY is $172,282 to $231,110 per year, and in San Francisco, California is $180,154 to $241,670 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.