Data Engineer - Performance Marketing Platform

The Walt Disney Company (Corporate) Careers

New York (NY)

On-site

USD 114,000 - 152,000

Full time

7 days ago
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Job summary

The Walt Disney Company (Corporate) Careers in New York City is seeking a Data Engineer to join the Performance Marketing arm of our Enterprise Media and Marketing team. You will help expand our data tooling, build data pipelines, and partner with marketing, software, and data science experts to drive data-driven campaigns.

You will contribute to scalable workflows, ensure data quality, and ship production pipelines that empower precise paid media strategies using Spark, SQL, Python, and cloud

Qualifications

  • Bachelor's degree or equivalent work experience in CS/IS/SE.
  • 3+ years designing backend architectures in production.
  • Strong AI/LLMs understanding and practical use.
  • Experience with Spark and SQL; scalable data pipelines.

Responsibilities

  • Contribute to the development of the Performance Marketing toolset.
  • Set data engineering, modeling, and architectural standards.
  • Build end-to-end data pipelines from source to end users.
  • Collaborate with media/marketing teams to iterate prototypes to production.
  • Implement quality controls and observability for accurate metrics.

Skills

Backend architecture
AI/LLMs in software
Spark & SQL
Cross-functional teamwork
Technical deep-dives

Education

Bachelor's degree in Computer Science/Information Systems/Software Engineering

Tools

Spark
Python
Databricks/Snowflake
AWS
Terraform

Job description

The Walt Disney Company (Corporate) Careers in New York City is seeking a Data Engineer to join the Performance Marketing arm of our Enterprise Media and Marketing team. You will help expand our data tooling, build data pipelines, and partner with marketing, software, and data science experts to drive data-driven campaigns.

You will contribute to scalable workflows, ensure data quality, and ship production pipelines that empower precise paid media strategies using Spark, SQL, Python, and cloud

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