Lead Data Engineer

Leading diversified international family entertainment and media enterprise focused on creating world-class stories and experiences.
$152,200 - $223,600
Data
Staff Software Engineer
In-Person
5,000+ Employees
7+ years of experience
Entertainment · Streaming

Description For Lead Data Engineer

Disney Entertainment & ESPN Technology is seeking a Lead Data Engineer to join their Machine Learning Engineering team. The role focuses on driving ML usage across various domains and project lifecycle stages. You'll work on developing and improving feature store tooling, building streaming data ecosystems, and creating low-latency services for event-driven pipelines. The position offers the opportunity to work on cutting-edge ML infrastructure while supporting key product functions like personalization, recommendations, fraud prevention, and capacity planning.

The ideal candidate will have extensive experience with large-scale distributed systems, big data pipelines, and cloud technologies. You'll be part of a team that's reimagining how to create magical viewing experiences while transforming Disney's media business for the future. The role involves working with diverse teams across the organization to push the boundaries of data and ML infrastructure.

Working at Disney Entertainment & ESPN Technology means being part of building the future of Disney's media business, reaching millions of consumers through platforms like Disney+, Hulu, ABC News, and ESPN. The company offers competitive compensation including base salary, bonuses, and long-term incentives, along with comprehensive benefits. This is an opportunity to join a company known for innovation and excellence in entertainment, working on systems that shape industry norms and enhance how audiences experience sports, entertainment & news.

Last updated 13 hours ago

Responsibilities For Lead Data Engineer

  • Develop and improve feature store tooling and services
  • Collaborate with ML practitioners to build streaming data ecosystem
  • Develop low-latency services to enable and support event-driven pipelines
  • Work on multi-faceted projects across teams
  • Drive and maintain culture of quality, innovation and experimentation
  • Work in an Agile environment

Requirements For Lead Data Engineer

Python
Kubernetes
  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field
  • 7+ years of software experience working in large scale, real-time distributed systems
  • Experience building and deploying big data pipelines in production
  • Experience with cloud technologies in AWS or GCP and container systems
  • Passion for building platforms and infrastructure excellence
  • Excellent communication and people engagement skills

Benefits For Lead Data Engineer

Medical Insurance
  • Bonus
  • Medical Benefits
  • Long-term Incentives

Interested in this job?

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