Data Platform Engineer – Greenfield Analytics

Amazon Web Services (AWS); New York (NY); On-site; USD 145,000 - 197,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Data Engineer to join a new centralized analytics team. You will design and operate scalable data pipelines, build data models, and enable self-service analytics for thousands of AWS field team members.

You will shape the data backbone powering agentic analytics tools, collaborate with scientists and SDEs, and contribute to the evolution from dashboards to AI-driven data systems at scale.

Qualifications

• 3+ years of data engineering experience.
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• 3+ years of developing and operating large-scale data structures for business analytics using data modeling experience.
• 3+ years of developing and operating large-scale data structures for BI analytics using SQL experience.
• 3+ years of in the job offered or a related occupation experience.

Responsibilities

• Design, build, and operate scalable ETL/ELT pipelines that ingest product telemetry, usage events, and business outcome data from multiple sources across the portfolio.
• Architect and implement a centralized data platform using AWS-native technologies that serves as the single source of truth for analytics.
• Build and maintain data models that connect product usage signals to business outcomes.
• Develop data infrastructure supporting AI/ML pipelines and agentic systems.

Skills

Data engineering

ETL/ELT pipelines

SQL

Data modeling

Tools

Redshift

S3

Glue

EMR

Kinesis

FireHose

Lambda

IAM

Job description

Amazon Web Services (AWS) is seeking a Data Engineer to join a new centralized analytics team. You will design and operate scalable data pipelines, build data models, and enable self-service analytics for thousands of AWS field team members.

You will shape the data backbone powering agentic analytics tools, collaborate with scientists and SDEs, and contribute to the evolution from dashboards to AI-driven data systems at scale.