Software Data Engineer

The Walt Disney Company • Burbank, CA

1d • $106,900 - $143,300 • Remote

About The Position

Do you remember seeing trailers 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 media 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 strategies, 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level