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

Amazon
USA, NY, New York / USA, VA, Arlington / USA, WA, Seattle2026-06-04ONSITE

About the job

Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? If so, we are looking for a Sr. Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives.

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

Qualifications

Minimum

- 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

Preferred

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

- Experience operating large data warehouses