Hiring: Geospatial Data Engineer , WW Sustainability Company: Amazon Location: San Francisco, CA Job Posted Time: 2026-09-17 07:20:54 Target Skills & Keywords : AWS, Airflow, CI/CD, Data Pipeline, ELT, EMR, ETL, IAM, Java, Kinesis, Lambda, Node.js, PySpark, Python, Redshift, S3, SQL, Scala, Spark, Step Functions About the job Experience: •3+ years of data engineering experience Required Skills: •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. •This role focuses on building ready and fit for use risk factor data, 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. •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 Qualifications: •Deep experience with geospatial data types: both raster and vector, as well as usage of GIS tools Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!