Software Data Engineer

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 .

• 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

Preferred Qualifications

• 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 D isplay Video , The Trade Desk, Yahoo )

The hiring range for this remote position in Burbank, CA is $106,900.00 - $143,300.00 per year, which factors in various geographic regions. 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.