JobsSr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements
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Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements

Amazon

Location

Seattle, WA

Type

Full-time

Posted

6/4/2026

Compensation

$154,600 - $230,000 per year

Undergraduate with 5+ Years of Experience
Approval 98.6%·Filings 19,451·New hires 10,113·
👑 Elite Sponsor
·FY 2025

Job description

The Sr. Data Engineer will join the Strategic Customer Engagements team at AWS to develop a scalable data analytics platform. This role focuses on creating and managing datasets to deliver actionable insights that influence business decisions. The candidate will work closely with Product Managers, Business Intelligence Engineers, and business partners to translate business needs into technical requirements. The position emphasizes building efficient data infrastructure and leveraging AWS services and generative AI to enhance data capabilities.

Requirements

  • 5+ years of data engineering experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience with SQL
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience mentoring team members on best practices
  • Experience with big data technologies such as Hadoop, Hive, Spark, EMR
  • Experience operating large data warehouses

Responsibilities

  • Build and maintain backend data infrastructure for analytical platforms and applications, ensuring data is clean, fresh, and optimized for downstream consumption
  • Lead architectural improvements that simplify complex data systems and transformations and proactively address deficiencies that create bottlenecks in the data infrastructure
  • Translate business problem statements into technical data requirements, partnering with BIEs and product management and stakeholders to define what data products to build
  • Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
  • Leverage AWS services and GenAI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities
  • Build data pipelines purpose-built for LLM consumption and create data products and feature stores that serve GenAI applications in near real-time
  • Lead design reviews for your team's data architecture and actively participate in design reviews of related software and data systems

Benefits

  • Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.

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