Join Amazon's Worldwide Sustainability (WWS) organization as a Senior Data Engineer working on environmental and social advancements to support Amazon's long-term worldwide sustainability strategy. The Sustainability Science and Innovation (SSI) team is a multi-disciplinary group combining science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
As a Sr. Data Engineer, you'll collaborate closely with Machine Learning and Environmental Scientists to build the data foundation of the future. You'll be responsible for defining strategy and implementing tooling to identify, ingest, harmonize, store, and maintain strategic data from both internal and external sources. These datasets will cover a wide range of topics and data formats to unlock foundational AI research in emerging areas and applications.
Your work will directly support Amazon-wide sustainability initiatives like carbon footprinting, climate risk monitoring, and social responsibility through the supply chain. The role requires expertise in data engineering, AWS infrastructure, and best practices in software development. You'll be working with technologies like Lake Formation, Athena, S3, OpenSearch, and Glue, while building scalable solutions for complex data challenges.
The position offers competitive compensation ranging from $139,100 to $240,500 per year, depending on location, plus equity and comprehensive benefits. You'll be part of a diverse team that values continuous learning, mentorship, and work-life harmony. The team culture promotes inclusion through employee-led affinity groups and ongoing learning experiences.
This is an opportunity to make a significant impact on Amazon's sustainability goals while working with cutting-edge technologies and data solutions. The role combines technical expertise with meaningful environmental and social impact, making it ideal for someone passionate about both technology and sustainability.