Data Platform Engineer, AWS Analytics

Amazon; Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon’s AWS Specialist Technology Team is seeking a Data Engineer to join a greenfield analytics initiative. You will design, build, and operate scalable data pipelines that connect product telemetry, usage metrics, and business outcomes into a unified data ecosystem, enabling intelligent, agent-driven analytics used by thousands of AWS field team members.

You will work on engineering-focused data infrastructure, collaborating with scientists and SDEs to ensure data quality, governance, and

Qualifications

• 3+ years of data engineering experience.
• 3+ years of ETL/ELT and SQL experience.
• 3+ years of data modeling experience.
• Experience in the job offered or a related occupation.

Responsibilities

• Design, build, and operate scalable ETL/ELT pipelines ingesting product telemetry and business data.
• Architect centralized data platform using AWS-native technologies (Redshift, S3, Glue, Lake Formation, Lambda, Athena).
• Build data models connecting usage signals to business outcomes.
• Develop data infrastructure supporting AI/ML pipelines and agentic systems.

Skills

Data engineering

ETL/ELT

SQL

Data modeling

Tools

Redshift

S3

Glue

EMR

Kinesis

Lambda

Job description

Amazon’s AWS Specialist Technology Team is seeking a Data Engineer to join a greenfield analytics initiative. You will design, build, and operate scalable data pipelines that connect product telemetry, usage metrics, and business outcomes into a unified data ecosystem, enabling intelligent, agent-driven analytics used by thousands of AWS field team members.

You will work on engineering-focused data infrastructure, collaborating with scientists and SDEs to ensure data quality, governance, and