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About the Role

Join Amazon's Worldwide Sustainability organization to build technical solutions for tracking, recording, and forecasting environmental impacts. This role focuses on extending geospatial capabilities to establish foundational data infrastructure for area-based analysis and risk factor data derivation.

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.

Requirements

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

Skills

Geospatial data types: raster (GeoTIFF, COG, NetCDF, etc.)
Geospatial data types: vector (GeoJSON, etc.)
GIS tools
AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Data modeling
Data warehousing
ETL pipelines
Building/operating highly available, distributed systems
Data extraction
Data ingestion
Data processing of large data sets
CI/CD practices
Python
Scala
Java
AWS services (Redshift, S3, Glue, EMR, Step Functions, EventBridge)
ETL/ELT processes
PySpark
Apache Spark (Scala/Java)
AWS Glue
Apache Airflow
SQL-based transformations
Data services
APIs
Data governance
Data security
Data privacy
Statistical modeling
ML-based modeling
Reporting
Visualization
Automation
Efficiency gains

Location

Los Angeles County
San Francisco
Seattle

Work Type

Full-time

Experience Level

3+ years of data engineering experience

Salary/Compensations

152,000.00 - 205,600.00 USD annually (San Francisco)
132,100.00 - 178,800.00 USD annually (Seattle)

Benefits

Sign-on payments
Restricted stock units (RSUs)
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
Parental leave

About the Company

At Amazon, we're working to be the most customer-centric company on earth.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Equal Opportunity

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