Data Engineer, YouTube Marketing

About the Position

Data Engineer, YouTube Marketing

Join the Global YouTube Marketing team as a Data Engineer to build and maintain the data infrastructure that fuels our marketing strategy. You will play a vital role in designing, developing, and optimizing scalable data pipelines, ensuring high data quality and accessibility for analytics and reporting. Your technical expertise will enable the broader marketing organization to leverage data-driven insights to measure and optimize the impact of marketing initiatives.

Location: Mexico City, CDMX, Mexico

In-person interviews required.

Only applications from candidates with Mexican citizenship will be considered.

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.

Requirements

• 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.

Nice to Have

• Experience in technical consulting.
• Experience working with Big Data, information retrieval, data mining, or machine learning.
• Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
• Expertise in designing data models, data warehouses, and handling large-scale distributed data processing.

We Offer

• Opportunity to work in a dynamic and innovative environment.
• Collaborate with a talented and diverse team.
• Competitive compensation and benefits package.

About the Company

At Google, we believe in the power of technology to bring people together and solve the world's problems. Our mission is to organize the world's information and make it universally accessible and useful. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

English proficiency is required for all roles unless stated otherwise in the job posting.

Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.