Remote Data Engineer — Performance Marketing Pipelines

5191 Disney Entertainment Operations LLC; California (MO); Remote; USD 107,000 - 143,000; Full time

Job summary

Disney Entertainment Operations LLC is seeking a Data Engineer to join the Performance Marketing team. You will help expand tools, data pipelines, and data science workflows that power paid media campaigns.

You will collaborate with engineers, data scientists, and analysts to build scalable pipelines, apply quality controls, and implement observability to ensure accurate marketing metrics.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering or related field (or equivalent).
• 3+ years designing and delivering backend architectures in production.
• Strong AI/LLMs viewpoint with practical application in software development.
• Experience with Spark and SQL; building scalable data pipelines on large datasets.
• Able to dive deep into complex technical components.
• Experience in fast-paced, cross-functional teams translating business needs.

Responsibilities

• Contribute to the development of the Performance Marketing tools suite.
• Drive data engineering standards, architecture, and observability.
• Create and manage end-to-end data pipelines from source to consumer teams.
• Collaborate with media/marketing experts to iterate prototypes to production.
• Implement quality controls and monitoring for accurate campaign metrics.

Skills

Backend design

Spark

SQL

AI/LLMs in development

Cross-functional teamwork

Observability

Education

Bachelor's degree in CS/IS/SE or related

Tools

Databricks/Snowflake

AWS

Terraform

Python

Job description

Disney Entertainment Operations LLC is seeking a Data Engineer to join the Performance Marketing team. You will help expand tools, data pipelines, and data science workflows that power paid media campaigns.

You will collaborate with engineers, data scientists, and analysts to build scalable pipelines, apply quality controls, and implement observability to ensure accurate marketing metrics.