Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements
Amazon - Seattle, Washington, USA
Posted Jun 4, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $155K-$209K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
62% above the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements Seattle, Washington, USA 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. In this role, you will be responsible for end-to-end development of data engineering solutions from the ground up. You should have expertise in the creation and management of datasets and the proven ability to translate data into meaningful insights through collaboration with Product Managers, Business Intelligence Engineers (BIEs), and business partners. You should be passionate about designing scalable analytics solutions for a fast-growing business. This is a high-visibility role. The right candidate will possess excellent business and communication skills, be able to work with business owners to translate business problem statements into technical requirements. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data and build the next generation of AI-enabled data platform. Key job responsibilities - Build and maintain backend data infrastructure
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