Software Engineer II
About The Position
Disney Entertainment and ESPN Product & Technology is a global organization dedicated to building and advancing the technological backbone for Disney’s media business worldwide. The team focuses on marrying technology with creativity to create world-class products, enhance storytelling, and drive innovation and scalability. They work across The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points for millions globally. The Commerce, Data & Identity segment provides core product management functions for crucial areas like digital commerce, identity, growth, messaging, and privacy. It is also responsible for data engineering, science, and products for Disney Entertainment & ESPN, and their integration with other parts of The Walt Disney Company. This role is for a Software Engineer II to join the Experimentation Data team within Commerce, Data & Identity. This team is responsible for critical data products and services that power A/B testing across streaming platforms. The ideal candidate will have a strong technical background and a passion for designing and building systems to process data at scale to provide business value and insights. The tech stack includes AWS, Databricks, Airflow, Spark, Scala, Python, Kotlin, and Typescript.
Requirements
- 3+ years of software or data engineering experience
- Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow)
- Demonstrated abilities in modeling data to support business needs at scale
- Strong programming skills in Java, Scala or Python
- Proven SQL skills and ability to build queries to analyze complex datasets
- Knowledge of data warehouse solutions, including Databricks and Snowflake
- You are a problem solver with strong attention to detail and excellent analytical and communication skills, who will collaborate to build greenfield solutions with high business value
- Bachelor’s degree or the foreign equivalent in Computer Science or a closely related field
Nice To Haves
- Experience working with A/B testing, bandits, or other mechanisms for measuring product performance in a controlled fashion
- Any background in mathematics, statistics, and machine learning
- Experience with: Java, Scala, Python, Databricks, Airflow, AWS, Snowflake
Responsibilities
- Contribute to the design and growth of our Data Products and Services enabling experimentation at petabyte scale, working across the stack from big data to backend services and APIs
- Maintain detailed documentation of your work and changes to support data quality and data governance
- Work with stakeholders and partner teams to identify and solve business needs in the domain of data and data access, particularly in the space of using experimentation and data to improve our product and customer experience
- 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 practice to ensure health and process improvements for your team
Benefits
- Bonus
- Long-term incentive units
- Full range of medical benefits
- Full range of financial benefits
- Other benefits (dependent on the level and position offered)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
