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Data Engineer, YouTube Marketing

Google
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Hybrid (Mexico City, CDMX, Mexico)Full-timePosted 2w ago

About the role

Data Engineer for the Global YouTube Marketing team responsible for designing, developing, and maintaining scalable data pipelines and data models to support marketing analytics and reporting.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and data models to collect, process, and store data from various marketing sources.
  • Integrate new metrics into core data marts and establish robust data quality checks and monitoring to ensure data accuracy, integrity, and pipeline stability.
  • Collaborate with cross-functional partners to translate business requirements into technical data solutions and infrastructure.
  • Optimize data infrastructure and querying layers for performance, efficiency, and scalability to support evolving Global YouTube Marketing needs.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
  • 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
  • Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
  • Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Skills

Required:Data pipelinesData modelsData quality and monitoringCross-functional collaborationBig data technologies
Last updated Oct 23, 2026. Interested? Apply on the company site.

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