Senior Data Engineer, AWS Analytics Engineering at Amazon
Seattle, WA
$154,600–$209,100from the description
Jul 3, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A senior data engineering role within AWS's internal analytics platform, responsible for owning several data domains end-to-end — designing ingestion pipelines, building large-scale ETL workflows, and creating analytical data models that inform AWS leadership decisions. The work spans data architecture, infrastructure management, and applying AI/ML including agentic frameworks to modernize analytics at petabyte scale. Suits an experienced engineer comfortable with technical leadership, mentoring, and cross-team collaboration.
Senior level · 7+ years · Seattle-Tacoma-Bellevue, WA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 25 people in the Seattle-Tacoma-Bellevue, WA area plausibly meet what this posting asks for (database architects). range 10–35
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $107,748 (middle half $104,212–$164,448). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role sits at the intersection of data/pipeline engineering (15-1243 Database Architects) and data science/ML (15-2051), given the explicit hard requirement for LLM and Agentic Framework experience alongside deep ETL/warehouse work. 15-1243 was chosen as primary because the dominant day-to-day work is designing and operating large-scale data pipelines and analytical data models.
LLMs and Agentic Frameworks appear in the narrative description (not under Basic or Preferred Qualifications) but are stated with firm, gating language ('The ideal candidate… has hands-on experience with AI/ML technologies, including LLMs, and a strong understanding of designing and building Agentic Frameworks'). They are treated as hard gates on that basis.
AWS EMR, Glue, and Lambda are mentioned in the narrative description as examples of cloud-based data services the ideal candidate has experience with, not in the formal qualifications sections, so they are treated as preferred context rather than hard gates.
The degree requirement lists a Bachelor's in a relevant field under Preferred Qualifications only, so the degree requirement is set to None.
Compensation is stated as a base salary range; the posting notes the package also includes sign-on payments and RSUs, which are not quantified.
Read the full posting
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