Amazon
Geospatial Data Engineer , WW Sustainability
$132K–$206K
Seattle, WA +1 · Full-time · Posted Aug 28, 2026
- Location
- Seattle, WA
San Francisco, CA - Experience
- 3+ years of data engineering experience.
About the job
Build and operate geospatial data infrastructure and pipelines that support sustainability metrics, risk assessments, reporting, and data-driven operational planning at Amazon.
What you'll do
- Manage geospatial data ingestion, documentation, quality, and metadata; consolidate data from varied sources.
- Build and optimize data pipelines and infrastructure, including ETL/ELT workflows and data services.
- Create and maintain metrics, reports, dashboards, and integrations; partner with science and engineering teams to support geospatial analysis and modeling.
What they ask for
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience delivering end-to-end projects independently.
- Experience building or operating highly available distributed systems for extracting, ingesting, and processing large datasets.
- Deep experience with raster and vector geospatial data types and GIS tools.
Nice to have
- Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases or data stores, or a modern programming language such as Python, Java, Scala, or NodeJS.
Pay
152,000.00 - 205,600.00 USD annually (base salary); 132,100.00 - 178,800.00 USD annually (base salary)
Tools
Python, Scala, Java, Redshift, S3, Glue, EMR, Apache Airflow
AI focus
Enable statistical and ML-based modeling with geospatial data by building scalable data pipelines.
Model-written summary · the original posting is authoritative