Data Engineer II, AWS Field Experience - Investments

About this role

Description
Amazon Web Services is seeking a talented and innovative \*\*Data Engineer II\*\* to design, build, and evolve critical data capabilities for our Investments Platform. This platform delivers secure, highly available, scalable, and high-performance data solutions that empower our field teams to deliver exceptional service to Amazon's key customers.


Join a dynamic, high-impact team at an exciting stage of product evolution. You'll help shape the future of how AWS manages and derives value from data at massive scale, while collaborating with product managers, program leaders, data scientists, and cross-AWS technical partners.


As a Data Engineer II, you'll own end-to-end data solutions — from ingestion and transformation to analytics and insight generation — while incorporating modern generative AI practices to enhance efficiency, automation, and decision-making.


Key job responsibilities

• Design and implement robust, scalable data pipelines and ETL processes using AWS-native services (e.g., Glue, Lambda, EMR, Kinesis, S3, Redshift/Spectrum).
• Build and maintain data models, schemas, and storage solutions across relational (SQL) and NoSQL databases, data lakes, and warehouses.
• Develop, automate, and optimize metrics, reports, dashboards, and analytics workflows to drive business insights and data-informed decisions.
• Own infrastructure for data processing and analytics (e.g., Redshift clusters, Spectrum, EMR), including performance tuning, cost optimization, and architectural evolution.
• Leverage \*\*Amazon Bedrock\*\*, \*\*Nova models\*\*, \*\*Amazon Q\*\*, \*\*Kiro\*\*, and other internal AWS GenAI services to prototype intelligent features, automate data workflows, enhance data quality, and accelerate insight delivery.
• Demonstrate strong understanding of the broader GenAI ecosystem and apply it thoughtfully to real-world data engineering challenges in daily projects.
• Conduct rapid prototyping, proof-of-concepts, and a...