Geospatial Data Engineer for Global Sustainability

Amazon; San Francisco (CA); On-site; USD 152,000 - 206,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in San Francisco seeks a Data Engineer to extend geospatial capabilities and build scalable data infrastructure for WW Sustainability. You will own data ingestion, processing pipelines, and dashboards to support environmental and operational decisions.

Work with Python/Scala/Java and AWS services (Redshift, S3, Glue, EMR) to deliver ETL/ELT data products, while upholding governance and security.

Qualifications

• 3 years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with geospatial data types and GIS tools.

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

Skills

Geospatial data

Python/Scala/Java

ETL pipelines

Cloud AWS

Tools

AWS Redshift

S3

AWS Glue

EMR

Airflow

PySpark

Job description

Amazon.com Services LLC in San Francisco seeks a Data Engineer to extend geospatial capabilities and build scalable data infrastructure for WW Sustainability. You will own data ingestion, processing pipelines, and dashboards to support environmental and operational decisions.

Work with Python/Scala/Java and AWS services (Redshift, S3, Glue, EMR) to deliver ETL/ELT data products, while upholding governance and security.