About The Role & Team:

At The Walt Disney Company we’re responsible for building what aims to be the largest media streaming platform in the world, serving not just Disney+, but ESPN+, Star+, and Hulu. We foster innovation, we challenge each other, and we put our users before all else: connecting them with the stories they love.     

                      

We’re looking for people who want to challenge themselves, to grow; people who understand scale and care deeply about reliability. You will be surrounded by colleagues eager to help you succeed and be part of an ambitious, high-performing, rewarding culture. If this sounds like something for you, read on!           

      

You will work within one of Disney’s service engineering teams, supporting a variety of backend systems that directly support the Disney+ platform as part of the Growth and Commerce organization. You’ll contribute to dynamic, autonomous and self-motivated software teams that own the full development, delivery and operational support responsibilities of critical global services.    

                 

You will work closely with cross-functional teams to understand requirements, architect solutions, and ensure the successful delivery of projects using cutting edge Python, SQL, Spark, AWS, Databricks, DataLake, SnowFlake.

What You Will Do:

As a Lead Engineer, your responsibilities will be:

• Be part of an Agile team building the world's fastest growing media streaming platform
• Contribute to an inclusive culture that values learning & development, close collaboration between team members, and strives for excellence
• Lead the design and development of robust, scalable, and high-performance data pipelines using Spark and Scala.
• Collaborate with analysts, and other stakeholders to understand requirements and translate them into technical specifications.
• Architect and implement data processing solutions that optimize performance, reliability, and scalability.
• Mentor and provide technical guidance to junior team members, fostering a culture of learning and continuous improvement.
• Perform code reviews, ensure coding best practices, and enforce data engineering standards.
• Stay current with emerging technologies and industry trends in data engineering, Spark, and Scala, and evaluate their potential impact on our data platform.

What You Will Bring:

• Minimum 7+ years engineering experience
• Demonstrable understanding of high-quality coding, testing, and development practices
• Experience working in a “Devops” environment
• Experience with Java and/or Python
• Experience in Spark using either Scala or PySpark.
• Experience with Cloud Infrastructure, preferably with AWS
• Experience with Databricks
• Experience of designing, building & operating distributed systems with multi-level failover & fallback strategies
• Strong understanding of distributed computing principles and experience with large-scale data processing frameworks.
• Relational and NoSQL databases, particularly PostgreSQL, Aurora, & DynamoDB with experience modeling & optimizing query performance
• Excellent communication skills, specifically in understanding, framing and simplifying both technical & business requirements
• Comfort with ambiguity and leading conversations where discordant views are present
• Experience mentoring and coaching more junior engineers on both technical and soft skills
• Contributions to the technical community, either through blogs, internal workshops, meetups or conferences

Preferred Qualifications:

• Experience or interest in functional programming and its real-world applications - particularly Scala stacks such as Scalaz, Cats Effect and ZIO
• Kinesis or any other streaming data experience

Required Education:

Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

The hiring range for this position in New York is $156,300-$209,600 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.