Senior Data Engineer — AI-Driven Analytics Platform Lead

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 155,000 - 209,000

Full time

14 days+

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Benefits offered by this job

Health insurance
RSUs
401(k) matching
Paid time off

Job summary

Amazon Web Services, Inc. is seeking a Sr. Data Engineer to join the Strategic Customer Engagements team in Seattle, WA.

You will develop a scalable data analytics platform and deliver end-to-end data solutions that translate business problems into actionable insights for strategic deals. Responsibilities include building data infrastructure, ensuring data quality, and leveraging GenAI with AWS services to unlock new analytical capabilities.

Qualifications

  • 5+ years of data engineering experience.
  • Experience with data modeling, warehousing and ETL pipelines.
  • Experience with SQL and at least one scripting 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 data systems and transformations.
  • Translate business problems into technical data requirements with stakeholders.
  • Ensure data quality via monitoring, validation, auditing, and documentation.
  • Leverage AWS services and GenAI to build next-gen data solutions.
  • Create pipelines and feature stores for GenAI applications in near real-time.
  • Lead design reviews for data architecture and related systems.

Skills

5+ years data engineering
Data modeling
Warehousing
ETL pipelines
SQL
Python
Mentoring

Tools

Hadoop
Hive
Spark
EMR

Job description

Amazon Web Services, Inc. is seeking a Sr. Data Engineer to join the Strategic Customer Engagements team in Seattle, WA.

You will develop a scalable data analytics platform and deliver end-to-end data solutions that translate business problems into actionable insights for strategic deals. Responsibilities include building data infrastructure, ensuring data quality, and leveraging GenAI with AWS services to unlock new analytical capabilities.

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