Data Engineer, Corporate Data

DoorDash is seeking an experienced Data Engineer to join their People Analytics team in São Paulo, Brazil. This role is crucial in building and supporting the data infrastructure that powers data-driven insights for talent management. As part of a data-driven organization that empowers local economies, you'll work alongside analysts, scientists, and engineers to develop tools and insights for people and decision-makers.

The role involves architecting and engineering data infrastructure for People data, implementing warehouse schemas, developing ETL pipelines, and ensuring data integrity. You'll be responsible for supporting analytics projects and providing data support for various People metrics including recruiting pipelines, attrition, employee engagement, and compensation.

DoorDash offers a dynamic environment where you can make meaningful impact while working with smart, experienced leadership. The company values autonomy, problem-solving, and creative thinking. They provide competitive compensation and comprehensive health benefits.

The ideal candidate brings 5+ years of industry experience in data engineering, strong SQL skills, and experience with cloud architecture tools like dbt, Airflow, and Databricks in AWS. You should be data-driven, detail-oriented, and passionate about turning data into actionable insights.

Join DoorDash to be part of a technology company that's transforming from a food delivery service to a comprehensive goods delivery platform. You'll work in an environment that promotes diversity, inclusion, and employee well-being while solving challenging technical problems at scale.