Data Engineer

  • The Walt Disney Company
  • Glendale, CA, USA
  • Aug 02, 2019
Full-time AWS Data Engineering Data Science Java Kafka Python R Scala Spark SQL

Job Description

The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.

As part of the Studio’s Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry.

Responsibilities :

You will be instrumental in building scalable, extensible, maintainable data ingest, transformation, and reporting tools, infrastructure, and applications. We store, analyze, visualize and report on data for everything from the financial engines that keep the Studio running to consumer applications that touch millions of people.

You will:

  • Design, build and deliver high-quality data and software tools and solutions
  • Collaborate with other software engineers and cross-functional teams
  • Contribute new ideas to a larger community of high-caliber professionals
  • Balance resources, requirements, and complexity

Basic Qualifications :

The Walt Disney Studios seeks a Data Engineer to join the Studio Technology Data Services team. This team is a highly visible department that plays an integral part in key business decisions across the Studio organization and the company.

We’re seeking the following in a candidate:

  • An educational background that has enabled your trajectory in technology. Surprise us!
  • 2+ years of professional software experience
  • Expertise in data analysis and database engineering
  • Experience in agile software development process
  • Smart, motivated, and curious about both the technology and the business
  • Able to demonstrate working knowledge of some:
    • Java/JVM, Python, SQL, R, Scala
    • Apache Spark & associated tooling
    • Data science notebooks (Databricks, Jupyter)
    • Git, Github, Gitlab
    • AWS, Terraform
    • Docker, Kubernetes, Helm
    • Job Schedulers (Azkaban/Airflow)
    • Test-driven development

Preferred Qualifications:

It would be cool if you knew and could teach people about:

  • R, Scala
  • Kafka, KStreams, KSQL
  • GraphQL
  • RDS, DynamoDB


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