Sr. Software Engineer

We are looking for a Software Engineer to help us grow the data platform. You will be embedded in the compute team that runs the data lake platform that helps power the analytics, operations, and data science behind our flagship streaming applicationsDisney+, Hulu, ESPN+, and Star+. You'll get to understand the challenges of how data is being used at Disney's world-class streaming services while pushing the boundaries of what is possible using the latest technologies available in AWS, Databricks, and beyond.

Responsibilities:

• Summarize job responsibilities, core deliverables, and major duties.
• Focus on major areas of work, typically 20% or more of the role's % of time.
• Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.
• Maintain software engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation.
• Evangelize and evolve the platform, best practices, and data-driven decisions; identify new use cases and features and drive adoption.
• Be a part of the magic (partner) for countless teams as they use the Data Lake platform, helping architect solutions for success.

Requirements:

• Minimum and Preferred. Inclusive of Licenses/Certs (include functional experience as well as behavioral attributes and/or leadership capabilities).
• Experience deploying and running cloud-based applications (preferably AWS), utilizing infrastructure-as-code frameworks like Terraform.
• Experience with Python.
• Ability to dive deep into any technical component as well as understand the overall systems architecture.
• You care deeply about craftsmanship in your software and can work backward from the customer experience.
• You have excellent written and verbal communication skills.
• 5+ years of relevant professional experience and a bachelor's degree in computer science or a related field OR 3+ years of relevant professional experience and a master's degree in computer science or a related field.
• Preferred Qualifications: Knowledge of Data Engineering practices and tools, such as Spark, Snowflake, ETL concepts, etc.