On-Site Data Engineer, Performance Marketing Tools

The Walt Disney Company

New York (NY)

Presencial

USD 114.000 - 152.000

Jornada completa

hace 27 horas
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Descripción de la vacante

The Walt Disney Company’s Enterprise Media and Marketing team is seeking a Data Engineer to join the Performance Marketing group. This embedded role will help expand our toolset, build data workflows, and develop web applications that blend advertising with data-backed insights.

You will collaborate with marketers, software engineers, data scientists, and analysts to execute data-driven campaigns and maintain production pipelines that power key business metrics.

Formación

  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or related field.
  • 3+ years designing and delivering backend architectures in production.
  • Strong understanding of AI/LLMs in software development; apply value over hype.
  • Experience with Spark and SQL; building data pipelines at scale.
  • Dived deep into technical components and translated business needs into requirements.

Responsabilidades

  • Develop tools used by the Performance Marketing group.
  • Define data engineering standards for pipelines, observability, and docs.
  • Create end-to-end data pipelines from source to end users.
  • Collaborate with marketing and analytics to iterate from prototype to production.
  • Implement quality controls and monitoring for accurate campaign metrics.

Conocimientos

Backend architecture
Spark
SQL
Python
Databricks
Snowflake
AWS
Terraform
AI/LLMs awareness

Educación

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

Herramientas

Databricks
Snowflake
Terraform
AWS

Descripción del empleo

The Walt Disney Company’s Enterprise Media and Marketing team is seeking a Data Engineer to join the Performance Marketing group. This embedded role will help expand our toolset, build data workflows, and develop web applications that blend advertising with data-backed insights.

You will collaborate with marketers, software engineers, data scientists, and analysts to execute data-driven campaigns and maintain production pipelines that power key business metrics.

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