Sr. Data Engineer, WW Sustainability
Sr. Data Engineer, WW Sustainability
Posted on :
19-05-2025
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1 Vacancy
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Job Description
Join us at the Amazons sustainability initiatives to work on environmental and social advancements to support Amazons long term worldwide sustainability strategy. At Amazon were working to be the most customercentric company on earth. To get there we need exceptionally talented bright and driven people.
The Worldwide Sustainability (WWS) organization capitalizes on Amazons scale and speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally and drive solutions that enable our customers businesses and the world to become more sustainable.
Sustainability Science and Innovation (SSI) is a multidisciplinary team within WW Sustainability combining science analytics economics statistics machine learning product development and engineering expertise. We use data across the sustainability imperatives (carbon water waste biodiversity environmental risk and more) and these skills and capabilities to identify develop experiment and scale the scientific solutions and innovations necessary for Amazon customers and partners to help them solve their hardest unmet and evolving sustainability needs and goals.
The Sustainability Science and Innovation team is looking for a Sr. Data Engineer to collaborate closely with Machine Learning and Environmental Scientists to build the data foundation of the future. You will define strategy and implement tooling to identify ingest harmonize store and maintain strategic data from both internal and external sources.
These datasets must cover a wide range of topics such as geographic regions and data formats to unlock foundational AI research in emerging areas and applications. These solutions development will support Amazonwide sustainability initiatives like carbon footprinting climate risk monitoring and social responsibility through the supply chain.
If you see yourself as a handson leader and innovator at the intersection of AI data and sustainability wed like to connect with you. You dont necessarily have to be an expert in sustainability and climate domains.
Key job responsibilities
Designing implementing and maintaining data and AI/ML infrastructure to support a wide variety of large and complex data sets ensuring high performance availability and integrity.
Identifying and solving data needs for Gen AI and foundational model training and benchmarking for tasks across the sustainability domain.
Developing and optimizing robust data pipelines for internal data from sources such as Product Lifecycle Management tools Product Details (images text and structured data) Inventory Management Platforms and financial systems.
Design and implement webscale data collection for images text structured data across locations and sustainability domains.
Develop comprehensive monitoring alarming and data quality controls for all of the above.
Partnering with Scientists and Software Engineers to create our data collection strategy and ML Ops best practices.
About the team
Diverse Experiences:
World Wide Sustainability values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Inclusive Team Culture:
Its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (inclusive diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth:
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance:
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
7 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
Experience building AWS infrastructure at scale through IaC on services like Lake Formation Athena S3 OpenSearch and Glue
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with AWS technologies like Rekognition SageMaker and Bedrock vector databases nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139100/year in our lowest geographic market up to $240500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Worldwide Sustainability (WWS) organization capitalizes on Amazons scale and speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally and drive solutions that enable our customers businesses and the world to become more sustainable.
Sustainability Science and Innovation (SSI) is a multidisciplinary team within WW Sustainability combining science analytics economics statistics machine learning product development and engineering expertise. We use data across the sustainability imperatives (carbon water waste biodiversity environmental risk and more) and these skills and capabilities to identify develop experiment and scale the scientific solutions and innovations necessary for Amazon customers and partners to help them solve their hardest unmet and evolving sustainability needs and goals.
The Sustainability Science and Innovation team is looking for a Sr. Data Engineer to collaborate closely with Machine Learning and Environmental Scientists to build the data foundation of the future. You will define strategy and implement tooling to identify ingest harmonize store and maintain strategic data from both internal and external sources.
These datasets must cover a wide range of topics such as geographic regions and data formats to unlock foundational AI research in emerging areas and applications. These solutions development will support Amazonwide sustainability initiatives like carbon footprinting climate risk monitoring and social responsibility through the supply chain.
If you see yourself as a handson leader and innovator at the intersection of AI data and sustainability wed like to connect with you. You dont necessarily have to be an expert in sustainability and climate domains.
Key job responsibilities
Designing implementing and maintaining data and AI/ML infrastructure to support a wide variety of large and complex data sets ensuring high performance availability and integrity.
Identifying and solving data needs for Gen AI and foundational model training and benchmarking for tasks across the sustainability domain.
Developing and optimizing robust data pipelines for internal data from sources such as Product Lifecycle Management tools Product Details (images text and structured data) Inventory Management Platforms and financial systems.
Design and implement webscale data collection for images text structured data across locations and sustainability domains.
Develop comprehensive monitoring alarming and data quality controls for all of the above.
Partnering with Scientists and Software Engineers to create our data collection strategy and ML Ops best practices.
About the team
Diverse Experiences:
World Wide Sustainability values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Inclusive Team Culture:
Its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (inclusive diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth:
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance:
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
7 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
Experience building AWS infrastructure at scale through IaC on services like Lake Formation Athena S3 OpenSearch and Glue
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with AWS technologies like Rekognition SageMaker and Bedrock vector databases nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139100/year in our lowest geographic market up to $240500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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