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.

Job Summary:

The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization, is looking for a Software Engineer II to join our Playback and Content Consumption Data Team. Content Consumption Data is critical to improving products in the DEET Portfolio because it allows us to quantify content performance, measure advertising effectiveness, help users discover new content, detect fraud, and track user journeys. This data helps us to better understand the user playback experience, enabling continuous improvement of our service for our users, advertisers, and content partners.

Our Playback and Content Consumption Data Engineering team is seeking a highly motivated Software Engineer II with a strong technical background who is passionate about designing and building systems to process data at scale, solving challenging problems in both batch and real-time data processing, and working across software and data disciplines to engineer solutions. Our tech stack includes AWS, Databricks, Airflow, and Spark, and primary languages are Scala and Java.

Responsibilities and Duties of the Role:

• Contribute to the design and growth of our Playback Data Products and Services, enabling evaluation of product performance and user behavior
• Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
• Write code, complete programming, write tests, perform testing and debug code.
• Work on systems to query, process, and deliver data out of the analytics environment into internal tools and systems
• Collaborate on architectural designs and help plan for maintainability, observability, and future development concerns
• Regularly review code to ensure it meets standards for readability and maintainability
• Maintain detailed documentation of your work and changes to support data quality and data governance
• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers
• Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

Required Education, Experience/Skills/Training:

Basic Qualifications

• Bachelor’s degree in Computer Science, Information Systems or related field, or equivalent work experience.
• 3+ years of software or data engineering experience
• Knowledge of both SQL and NoSQL databases
• Strong programming skills in an object-oriented language such as Java, Scala or Python
• Demonstrated competency in data modeling and analysis techniques
• Familiar with Scrum and Agile methodologies
• Strong attention to detail and excellent analytical skills
• Verbal and written communication skills and ability to collaborate with others effectively

Preferred Qualifications:

• Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow)
• Experience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake)
• Experience working in a big data environment, processing large volumes of data in a distributed system

The hiring range for this position in Seattle is $118,000 - $158,200 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.