Senior Data Engineer & Data Science Engineer
Microsoft Corporation · Redmond, WA
$119,800–$234,700from the description
Jul 24, 2026
Redmond, WA
Jul 26, 2026
What this job asks for AI summary
This role sits within a cloud hardware analytics team that builds data and AI tooling to support the quality and efficiency of Azure infrastructure. Day-to-day work involves designing data pipelines, developing machine learning and AI solutions, and creating analytical visualizations for engineering and management partners across the hardware and software stack. It suits candidates with a strong data science and data engineering background who have hands-on experience applying statistical or AI techniques to large, complex datasets.
Senior level · 5+ years · Seattle-Tacoma-Bellevue, WA · Full-time
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 1,450 people in the Seattle-Tacoma-Bellevue, WA area plausibly meet what this posting asks for (data scientists). range 600–2,150
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $168,363 (middle half $111,131–$214,996). 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 (9)
The role is titled 'Senior Data Engineer & Data Science Engineer' and internally tagged as 'Data Science IC4', indicating a Senior individual-contributor level at Microsoft.
The degree requirement is tiered: Doctorate + 1 yr, Master's + 3 yrs, or Bachelor's + 5 yrs of data-science experience — or equivalent experience. Because equivalent experience is explicitly accepted at every tier, the degree requirement is set to None.
Total years minimum is set to 5, reflecting the lowest-barrier path (Bachelor's + 5 years) that does not require a graduate degree; candidates with advanced degrees qualify with fewer years.
The posting names no specific named technologies, frameworks, or tools anywhere in its requirements or preferred sections — only broad capability areas (AI solutions, data science, statistical techniques, data management, visualizations). Skills are therefore captured at the capability level rather than as named tools.
The '7+ years industry experience' and '1+ years hands-on AI' figures appear under Preferred Qualifications only.
A separate, higher pay band applies for San Francisco Bay Area and New York City metro locations: USD $160,200–$261,000/year. The primary range shown ($119,800–$234,700) is the standard US-wide figure.
The 'Other Requirements' section references a Microsoft Cloud Background Check and export-control citizenship/residency verification, but these are not a US government security clearance — the clearance requirement is set to None.
Primary location is inferred as Redmond, WA (Microsoft HQ / Seattle metro) based on the company and role context; no explicit city is stated in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): structured and unstructured data management, data engineering.
Read the full posting
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