Senior Data Engineer: AI-Driven Analytics for Strategic Deals

Amazon Inc.; Seattle (WA); On-site; USD 155,000 - 209,000; Full time

Job summary

Amazon Web Services, Inc. in Seattle is seeking a Sr. Data Engineer to build and scale a data analytics platform for Strategic Customer Engagements, turning data into actionable insights for deal execution.

You will own end-to-end data pipelines, collaborate with Product Managers, BIEs, and business partners, and apply GenAI and AWS services to create AI-enabled data products. This high-visibility role requires strong communication, data architecture, and the ability to translate business

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL and at least one programming language (Python/Java/Scala/NodeJS).
• Experience mentoring team members on best practices.

Responsibilities

• Build and maintain backend data infrastructure for analytical platforms and applications.
• Lead architectural improvements to simplify complex data systems and reduce bottlenecks.
• Translate business problems into technical data requirements with stakeholders.

Skills

Data engineering

Data modeling

SQL

Programming languages

Mentoring

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon Web Services, Inc. in Seattle is seeking a Sr. Data Engineer to build and scale a data analytics platform for Strategic Customer Engagements, turning data into actionable insights for deal execution.

You will own end-to-end data pipelines, collaborate with Product Managers, BIEs, and business partners, and apply GenAI and AWS services to create AI-enabled data products. This high-visibility role requires strong communication, data architecture, and the ability to translate business