Google is seeking a Software Engineer specializing in Behavioral Economics to join their team working at the intersection of engineering and data science. This role focuses on developing and maintaining large-scale data processing systems and infrastructure that enables data-driven decision making across Google. The position requires expertise in handling large, unstructured datasets, implementing data pipelines, and building robust machine learning models while ensuring data privacy and security.
The ideal candidate will collaborate with Data Scientists, Product Managers, and other teams to understand needs and deliver solutions that allow Google to analyze data efficiently, reliably, and responsibly. They will be responsible for designing and implementing systems for large-scale data processing, architecting schema designs and data models, and ensuring data integrity and privacy.
This role offers the opportunity to work on critical projects that impact Google's product development and operational efficiency. The engineer will be part of a team that handles everything from data infrastructure and tooling to machine learning model deployment and monitoring. They will need to balance technical excellence with business requirements while maintaining high standards for data quality and system performance.
The position requires strong programming skills, experience with data engineering and analytics, and the ability to work with both technical and non-technical stakeholders. The role is based in Mexico City and requires Mexican citizenship in compliance with local labor laws. The successful candidate will join Google's mission to organize the world's information and make it universally accessible and useful, while working with cutting-edge technologies and contributing to products that impact billions of users.