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# Geospatial Data Engineer , WW Sustainability

- **Company:** Amazon.com, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $152,000.0 - $205,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Geographic Information Systems, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Databases, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Stores, Distributed Systems, GIS Applications, Graph Database, Identity and Access Management, Python (Programming Language), Meta-Data Management, NetCDF, Node.Js, Scala (Programming Language), SQL Databases, Unstructured Data, Scripting, Apache Spark, Electronic Medical Records, Pyspark, Deployment Automation, AWS Glue, External System Integrations, Non-relational Database, Data Pipelines, Amazon Redshift, Programming Languages
- **Published:** August 29, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10519667/geospatial-data-engineer-ww-sustainability

## About the Role

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, 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

## Description

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


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