Software Data Engineer

The Walt Disney CompanyBurbank, CA
Remote

About The Position

Do you remember seeing trailer s for The Devil Wears Prada 2 earlier this summer? What about digital spots for a cruise on the Disney Wish ? Or the California Adventure Food and Wine Festival ? If you did, it was likely because of the detailed planning and execution of The Walt Disney Company’s Enterprise Media and Marketing team…and if you didn’t – it’s probably because our targeting is that good . We are looking for a Data Engineer to join the Performance Marketing arm of this media team. We are an integrated, cross-functional team of marketers, software engineers, data scientists, and analysts who help the Media team execute highly data-driven marketing campaigns and tactics . As a Data Engineer , you will help expand our technology portfolio of innovative campaign planning tools, complex data science workflows , and elegant web applications that blend the art of advertising with the science of data-backed insights. This role is unique – our team is embedded directly within the Disney m edia team . We're aligned , mission-driven, and free to move fast and innovate towards our goals . You'll tackle the challenges of executing and optimizing precise paid media strateg ies , using the latest technologies and tools . If you're excited about this , please get in touch – we'd love to hear from you !

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field (or equivalent work experience).
  • 3+ years of experience designing and delivering backend architectures in a production environment, with a strong understanding of design patterns and best practices.
  • Strong opinions on how to best use AI/LLMs in the software development process; ability to quickly discern hype from value in the quickly evolving AI landscape (and an equal ability to put it into practice)
  • Experience with Spark and SQL; experience building simple and maintainable data pipelines on scaled data platforms
  • Ability to dive deep into any technical component
  • Experience working in a fast-paced environment with cross-functional teams to translate business needs into reality-based requirements

Nice To Haves

  • Experience working effectively with data science teams
  • Specific experience with our stack: Spark, Python, Databricks/Snowflake, AWS, Terraform
  • Knowledge of media buying and ad platforms including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp and DSPs (Google Display Video, The Trade Desk, Yahoo)

Responsibilities

  • Contribute to the development of the suite of tools used by the Performance Marketing group
  • Drive data engineering, data modeling, and architectural standards within the team; uphold standards and rigor around pipeline development, observability, and documentation
  • Create and manage end-to-end data pipelines – from source system to end consumer teams, applications, and users
  • Collaborate with the broader team of media/marketing experts to rapidly iterate from prototypes to high-quality, production pipelines and applications
  • Implement quality controls, monitoring, and other safeguards to ensure optimizations are accurately and safely applied to in-flight ad campaigns and key business metrics are always presented accurately

Benefits

  • 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.
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