Data Engineer - Performance Marketing Pipelines

Disney Cruise Line - The Walt Disney Company

Burbank (CA)

On-site

Confidential

Full time

11 days ago
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Job summary

Disney Cruise Line - The Walt Disney Company is seeking a Data Engineer to join the Performance Marketing arm of the Enterprise Media and Marketing team in Burbank, CA. You will expand our data-driven marketing infrastructure with scalable data pipelines and production-grade data tools.

The role requires 3+ years building backend architectures, expertise in Spark/SQL, and a practical approach to AI/LLMs in software development.

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 understanding of AI/LLMs in software development.
  • Experience with Spark and SQL; building data pipelines on scaled data platforms.
  • Ability to work in fast-paced, cross-functional teams to translate business needs into requirements.

Responsibilities

  • Develop suite of tools used by the Performance Marketing group.
  • Drive data engineering, data modeling, and architectural standards.
  • Create and manage end-to-end data pipelines from source to consumers and users.
  • Collaborate with media/marketing teams to iterate prototypes to production pipelines.
  • Implement quality controls and monitoring for safe ad campaign optimizations.

Skills

Backend architecture
Spark & SQL
AI/LLMs usage
Cross-functional collaboration
Data pipelines

Education

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

Tools

Python
Databricks
Snowflake
AWS
Terraform

Job description

Disney Cruise Line - The Walt Disney Company is seeking a Data Engineer to join the Performance Marketing arm of the Enterprise Media and Marketing team in Burbank, CA. You will expand our data-driven marketing infrastructure with scalable data pipelines and production-grade data tools.

The role requires 3+ years building backend architectures, expertise in Spark/SQL, and a practical approach to AI/LLMs in software development.

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