Software Data Engineer
Job Summary:
About the Role & Team
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!
What You Will Do
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
Required Qualifications & Skills
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 Display Video, The Trade Desk, Yahoo)
Bachelor's degree in Computer Science, Information Systems, Software Engineering or related field; 3+ years backend architecture experience; Spark and SQL; AI/LLM knowledge; ability to work in fast-paced environment.
Key Responsibilities
- building data pipelines
- developing tools
- collaborating with teams
Skills & Tools
Spark, SQL, Python, Databricks, Snowflake, AWS, Terraform, Google Ads, Facebook, Instagram, Innovid, LiveRamp, Google Display Video, The Trade Desk, Yahoo
Job Details
- Category: Data and Analytics
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — Burbank, California, United States
- Salary: USD 106,900 – 143,300 / year
- Languages: English
About The Walt Disney Company
A global media and entertainment company with a corporate enterprise media and marketing team. — Industry: Media and Communications