Google is seeking a Software Engineer specializing in Behavioral Economics to join their team. This role sits at the crucial intersection of engineering and data science, focusing on building and maintaining large-scale data processing systems and infrastructure. The position combines traditional software engineering with data science, requiring expertise in handling sensitive user data, developing ETL pipelines, and implementing machine learning models.
The role involves collaborating with data scientists, researchers, and engineers to create and maintain data products while ensuring data privacy and security. You'll be responsible for designing and implementing systems for large-scale data processing, creating robust data models, and ensuring data integrity. The position requires strong technical skills in programming languages like Python, Java, and SQL, along with experience in data engineering and machine learning.
As part of Google's commitment to data-driven decision making, you'll work on projects that directly impact product development and operational efficiency. The role offers the opportunity to work with cutting-edge technologies and contribute to solutions that affect billions of users globally. You'll be part of a team that values innovation, technical excellence, and user privacy.
The ideal candidate will have 5+ years of software development experience, strong analytical skills, and a deep understanding of data infrastructure and machine learning. This position is based in Mexico City and requires Mexican citizenship due to local labor laws. The role offers the chance to work on complex technical challenges while contributing to Google's mission of organizing the world's information and making it universally accessible and useful.