Data Engineer, Ring Agent Platforms

Requirements

• Experience in data engineering
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience with SQL
• Familiarity with data modeling and data quality practices
• Experience with software development life cycle practices including code reviews, source control, CI/CD, testing, and operational support
• Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting

Nice to Haves

• 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)

What You'll Be Doing

• Designing, building, and operating data pipelines, models, and platform infrastructure
• Owning the end-to-end data lifecycle — ingestion, transformation, modeling, quality enforcement, and delivery
• Using AI development IDEs and generative AI tooling daily to accelerate work
• Building multi-agent solutions to automate common data engineering tasks
• Contributing to the shared data platform when needed

Perks and Benefits

• Inclusive culture empowering Amazonians to deliver the best results for customers
• Workplace accommodations and adjustments available for individuals with disabilities during the application process
• Support for interviews or onboarding process