Data Engineer: AI-Driven Pipelines & Multi-Agent Workflows

Amazon; Hawthorne (CA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon.com Services LLC in Hawthorne, CA is seeking a Data Engineer to design, build, and operate data pipelines, models, and platform infrastructure powering Ring's analytics, science, and AI initiatives. You will own end-to-end data lifecycle to ensure analysts and AI systems have access to reliable, well-structured data at scale.

The role emphasizes applying generative AI tooling and contributing to shared data platforms, tooling, and self-service data services.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Proficiency in SQL and the full software development lifecycle.
• Experience using generative AI tools in professional settings.

Responsibilities

• Design, build, and operate data pipelines, models, and platform infrastructure.
• Own end-to-end data lifecycle: ingestion, transformation, quality, and delivery.
• Collaborate with analysts, scientists, and AI systems to ensure reliable data.
• Contribute to shared data platforms and developer tooling.

Skills

Data modeling

ETL pipelines

SQL

Generative AI tools

Software SDLC

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Job description

Amazon.com Services LLC in Hawthorne, CA is seeking a Data Engineer to design, build, and operate data pipelines, models, and platform infrastructure powering Ring's analytics, science, and AI initiatives. You will own end-to-end data lifecycle to ensure analysts and AI systems have access to reliable, well-structured data at scale.

The role emphasizes applying generative AI tooling and contributing to shared data platforms, tooling, and self-service data services.