Key job responsibilities - Design, build, and maintain large-scale data pipelines and models that power sustainability measurement across AWS - including life-cycle assessments, material flow analysis, carbon allocation, and service-level sustainability profiles - Partner with research scientists and applied scientists to productionize sustainability models (LCA, MFA, Scope 3) into reliable, automated, production-grade systems - Build and maintain data products for the AWS Supplier database, enabling sustainability-informed procurement and supply chain decisions - Build the data infrastructure for Service Sustainability Profiles (SSP) - a system that measures and attributes environmental impact at the service level, enabling AWS service teams to understand and reduce their footprint, and AWS customers to take ownership of their environmental impact through granular, accurate carbon data - Own data quality, lineage, and trust - ensuring every output meets the rigor required for third-party assurance and customer-facing reporting - Contribute to the Sustainability Data Platform (SDP), building shared data infrastructure that scales across Circular Economy, Scope 3, and Net Zero workstreams - Support the evolution toward decision intelligence - building self-service data products that reduce the time from sustainability question to grounded answer A day in the life As a Data Engineer on the S2I2 Engineering team, you'll build the data products that turn sustainability science into actionable intelligence for AWS. On any given day, you might be: - Working with research scientists and applied scientists to take a life-cycle assessment or material flow analysis model from prototype to production-grade pipeline - Designing data models that track carbon emissions, material flows, or supplier sustainability attributes across AWS's global infrastructure - Building pipelines that feed Service Sustainability Profiles - enabling AWS service teams to see their environmental footprint and customers to report on theirs - Extending the AWS Supplier database to support sustainability-informed procurement decisions - Debugging data quality issues where precision matters - because your outputs inform real infrastructure investments and go through third-party assurance - Collaborating with the Scope 3 assurance team to ensure data lineage and methodology are audit-ready - Prototyping self-service tooling that lets internal stakeholders answer sustainability questions without filing a ticket Your internal stakeholders include sustainability scientists (who define the models you productionize), program managers (who use your data products to drive abatement programs), and AWS service and infrastructure teams (hardware engineering, procurement, operations) who consume sustainability intelligence to inform design and purchasing decisions.