About the position
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.
Responsibilities
- Contribute to maintaining, updating, and expanding existing source code that powers our Core Data platform in Scala and Python / Spark while maintaining strict uptime
- Extend functionality of current Core Data platform offerings, including metadata parsing, extending the platform metadata strategy, and building new integrations with APIs both internal and external to our organization
- Implement new software deployments based on requirements for both batch ingestion and stream processing using Scala and Python - deployed using Databricks and Airflow
- Modify by coding new features for shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all modules across our organization
- Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
- Contribute to developing and documenting both internal and external standards and best practices for software configurations, naming conventions, partitioning strategies, and more
- Ensure high operational efficiency and quality of the Core Data platform deployments to ensure our solutions meet SLAs, project reliability, 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 both code and data quality as well as data governance requirements
Requirements
- 5+ years of software engineering experience developing large data pipelines
- Strong algorithmic problem-solving expertise
- Strong fundamental Scala and Python software engineering 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 engineering systems such as Spark and Kafka
- Hands-on production experience with orchestration systems such as Airflow
- Some scripting language (Bash, PowerShell) 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
Nice-to-haves
- Master's Degree in Computer Science, Information Systems preferred
- 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
Benefits
- The hiring range for this position in San Francisco, CA is $152,100 - $203,900 per year.
- A bonus and/or long-term incentive units may be provided as part of the compensation package.
- Full range of medical, financial, and/or other benefits, dependent on the level and position offered.
