Data Engineer II: GenAI-Powered Data Pipelines

Amazon; Hawthorne (CA); On-site; USD 132,100 - 178,800; Full time

Benefits offered by this job

RSUs

Health benefits

401(k)

Job summary

Amazon Data Engineer II for Ring NA Sales and Marketing Analytics is sought to design, build, and maintain scalable ETL/ELT pipelines. You will own data-readiness SLAs, craft architecture for a multi-channel data environment, and leverage GenAI to accelerate development for analytics and AI-powered reporting.

You will partner with BI engineers, data scientists, and stakeholders across Ring and Blink to deliver reliable data products and enable advanced analytics, including forecasting, demand

Qualifications

• 5+ years of data engineering experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL

Responsibilities

• Design, build, and maintain reliable, scalable ETL/ELT pipelines that deliver data to RBKS sales and marketing teams, owning data-readiness SLAs and CloudWatch-based monitoring and observability.
• Apply the right architecture for a complex, multi-channel data environment which supports the sell-through pipeline that serves as the single source of truth for Ring & Blink unit sales across 450+ datasets.
• Leverage GenAI to accelerate development and produce data optimized for both analysts and downstream AI Agent pipelines.
• Build direct API integrations for new retailers (Costco, Best Buy, Home Depot) using reusable frameworks that enable rapid onboarding without sacrificing reliability.
• Contribute to large-scale migrations from the Ring Data Warehouse to native AWS and from Tableau to QuickSight and AI-driven reporting.
• Identify and resolve data quality issues and performance bottlenecks in core pipelines without disrupting daily operations.
• Enable diverse analytics use cases — business reporting, demand planning, machine learning, and optimization models — by producing clean, query-ready data.
• Partner with business intelligence engineers, data scientists, and stakeholders across verticals, evangelizing platform standards and best practices.

Education

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

IAM

Python

Java

Job description

Amazon Data Engineer II for Ring NA Sales and Marketing Analytics is sought to design, build, and maintain scalable ETL/ELT pipelines. You will own data-readiness SLAs, craft architecture for a multi-channel data environment, and leverage GenAI to accelerate development for analytics and AI-powered reporting.

You will partner with BI engineers, data scientists, and stakeholders across Ring and Blink to deliver reliable data products and enable advanced analytics, including forecasting, demand