Senior Data Engineer II

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Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. 

Here are a few reasons why we think you’d love working here:

• Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems.

Commerce, Data & Identity provides the core product management functions for areas crucial to Disney’s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.

Job Summary:

The Application Data Engineering organization within the DEET organization is in search of a Lead Data Engineer.  As a member of the Application Data Engineering team you will establish the foundational set of data pipelines and datasets which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.  Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.  The Application Data Engineering team is seeking to grow their team of world class Data Engineers that share their charisma and enthusiasm for making a positive impact! 

Responsibilities and Duties of the Role:

●       Lead and mentor other engineers in maintaining, updating, and expanding existing Application Data Engineering data pipelines in Scala, Python, and SQL using Spark while maintaining strict uptime SLAs

●       Become an SME through an in-depth understanding of domain subject areas including Subscription, Application Performance, Experimentation, and Session data to support our customers.

●       Lead the SDLC surrounding modifications to both batch and streaming data pipelines using Scala, Databricks, and Airflow

●       Work with manager to create a comprehensive plan to improve observability, alerting, and maintain existing spark jobs that power key business metrics.

●       Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python

●       Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform

●       Contribute to debugging complex customer scenarios across different subject matter areas, determining if bug fixes and backfills are needed.

●       Ensure high operational efficiency and quality of the Application Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

●       Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our 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 

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• Required Education, Experience/Skills/Training:
• Basic Qualifications
• ●       7+ years of data engineering experience developing large data pipelines
• ●       Strong algorithmic problem-solving expertise
• ●       Strong fundamental Scala and Python programming skills
• ●       Basic understanding of AWS or other cloud provider resources (S3)
• ●       Strong SQL skills and ability to create queries to analyze complex datasets
• ●       Hands-on production environment experience with distributed processing systems such as Spark

●       Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines

• ●       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
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• Preferred Qualifications

●       Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)

• ●       Experience in developing APIs with GraphQL
• ●       Deep Understanding of AWS or other cloud providers as well as infrastructure as code
• ●       Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
• ●       Familiar with Scrum and Agile methodologies
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• Required Education  
• ●        Bachelor’s or Master’s Degree in Computer Science, Information Systems equivalent industry experience
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