Data Engineer II, AWS Sustainability Technology

Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

You'll join a diverse team of software, data, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

We are calling on data engineers who want to make sustainability a core feature of AWS services. 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. We own the data products that power sustainability decisions across AWS — from life-cycle assessments and material flow analysis to carbon allocation models and service-level sustainability profiles.

In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 — 10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.

As part of our efforts to decarbonize our business, Amazon became the world's largest corporate purchaser of renewable energy in 2020 and achieved its goal of matching 100% of operations with renewable energy in 2024 — seven years ahead of the original 2030 target. Our focus now extends beyond renewable energy to carbon-free energy sources, embodied carbon reduction, circular economy, and water stewardship across our entire infrastructure.

Come join the team that is building the data infrastructure and intelligent systems that enable AWS to measure, reduce, and ultimately eliminate its environmental footprint — across carbon, materials, and water — while helping AWS customers meet their own sustainability commitments.

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. You'll work across multiple workstreams — Circular Economy, Scope 3, Net Zero, AWS Supplier, and Service Sustainability Profiles — so breadth and context-switching are part of the job.

About the team
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications

- 3 years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

- 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)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.