Data Engineer II, AWS Sustainability Technology

About the role

The Science, Services, Infrastructure, and Innovation (S2I2) Engineering team builds measurement, intelligence, and decision-support systems that embed sustainability into how AWS designs, procures, and operates its infrastructure. You'll join a diverse team of software, data, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles.

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

Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Benefits

Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.