Geospatial Data Engineer , WW Sustainability

Amazon is hiring a Geospatial Data Engineer , WW Sustainability in Seattle, United States. It pays $152k-$206k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
Pay on this posting starts in line with the typical data engineer posting on Level.
The posting mentions Python, Scala and Java among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Build and manage geospatial data infrastructure and pipelines to support sustainability initiatives.

PythonScalaJavaAWSRedshiftS3GlueEmrPySparkApache SparkApache Airflow

geospatial-dataetldata-pipelinessustainability-data

Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.

The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s 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.

The Sustainability Measurement & Abatement Technology team builds technical solutions to track, record, and forecast Amazon's WW impact on the Environment (i.e., Carbon, Water, Waste, etc.). This includes calculating past and current impacts and future abatement plans, ensuring credibility through standards and validations, and highlighting non-obvious opportunities for Amazon’s global business teams.

We are looking for a Data Engineer to help us extend our geospatial capabilities to build sustainable experiences for customers at Amazon. This individual will play a critical role in establishing the foundational data infrastructure that scales metric derivation for assessments requiring area-based analysis and insights.

This role focuses on building ready and fit for use risk factor data (such as hazards, vulnerability, etc.), derived from climate, weather, and socioeconomic geospatial datasets from various internal and external sources. We build systems to evaluate and vend the geospatial data required for risk assessment activities that ultimately influence operational planning mechanisms.

Key job responsibilities
- Own the operations of Amazon World-Wide Sustainability’s geospatial data, including ingestion, documentation, quality, and metadata management
- Design, develop, and program methods and processes to consolidate unstructured data from bespoke sources
- Design, implement, and automate deployment of data pipelines using CI/CD practices and multiple programming languages (Python/Scala/Java) to collect, process, and store data that serves as source of truth for organizational metrics.
- Build and optimize data infrastructure using AWS services (Redshift, S3, Glue, EMR, Step Functions, EventBridge)
- Develop and maintain ETL/ELT processes using diverse frameworks including PySpark, Apache Spark (Scala/Java), AWS Glue, Apache Airflow, and SQL-based transformations to integrate organizational data sources
- Own the design and maintenance of metrics, reports, and dashboards that drive sustainability business decisions and support data-driven insights
- Develop data services and APIs that support both internal and external system integrations while ensuring compliance with data governance, security, and privacy requirements
- Partner with the science team to operationalize new data pipelines, identifying opportunities to scale science work, and promote data best practices
- Collaborate with the engineering team to build scalable, state of the art data pipelines that enable statistical and ML-based modeling with geospatial data
- Produce initial reporting and visualization to support Amazon World-Wide Sustainability’s needs as a customer of this team, producing denormalized tables and associated dashboards. Develop a reporting and analysis roadmap.
- Regularly interact with product and program teams to identify core problems and opportunities that can be answered through data analysis and experiments
- Adopt new technologies and frameworks to improve platform capabilities, with focus on automation and efficiency gains

About the team
World Wide Sustainability (WWS) 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Basic qualifications

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Deep experience with geospatial data types: both raster (GeoTIFF, COG, NetCDF, etc.) and vector (GeoJSON, etc.), as well as usage of GIS tools

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)
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

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 Company’s 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 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.

USA, CA, San Francisco - 152,000.00 - 205,600.00 USD annually
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

How we rate this

Geospatial Data Engineer , WW Sustainability at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Geospatial Data Engineer , WW Sustainability is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $152k-$206k a year.
The role is based in US, WA, Seattle.
The job was posted on August 28, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Geospatial DataETLData PipelinesSustainability DataPythonScalaJavaAWS

Also common in data engineer jobs at this level

Azure Databricks Google Cloud Snowflake Machine learning Kafka

Pay

This job starts at: $152k
Typical data engineer job: $146k

This posting starts close to the typical data engineer job. See data engineer jobs

Questions you could be asked

Tell me about a project where geospatial data was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where sustainability data was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Geospatial Data, ETL, Data Pipelines, Sustainability Data, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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