Senior Data Engineer | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
2 days ago
Closes
Dec 13, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $152,955–$204,625 — the shaded band above. At the midpoint, this role pays about $177k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1422 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer | Microsoft Careers

As a Senior Data Engineer in the Product Engineering Partnership pillar at Microsoft, you will serve as a technical lead embedded within product engineering teams, responsible for owning telemetry contracts and building experimentation data infrastructure for Global Skilling products such as Microsoft Learn and Applied Skills Navigator. Your day-to-day involves designing semantic models for analytics, managing external reporting pipelines, and facilitating feedback loops to ensure that insights are actionable signals for product development. You will also mentor junior engineers and collaborate with cross-functional teams to align telemetry standards across the company. This role requires expertise in Azure data platforms like ADLS, Synapse, and Databricks, along with experience in PySpark, SQL, and pipeline orchestration. Ideal candidates have a background in building production data systems and mentoring mid-level engineers, as well as hands-on experience with Microsoft’s internal data platforms and catalog management systems.

What you'll do

  • Own telemetry contracts and instrumentation for Global Skilling products.
  • Design and operate experimentation data infrastructure including A/B testing pipelines.
  • Build catalog and content management data integrations across product surfaces.
  • Lead semantic model design for product analytics in partnership with teams.
  • Mentor Data Engineer II engineers on telemetry, experimentation practices.
  • Operate Insights and Analytics feedback loops to surface usage patterns.
  • Provide on-call leadership for product-tier pipelines (severity levels 1–3).

What we're looking for

  • Master's Degree in Computer Science or related field and 3+ years of relevant experience, or Bachelor's degree and 4+ years of experience.
  • Proven ability to build production data systems on Azure or comparable cloud platforms.
  • Experience instrumenting product telemetry and owning end-to-end data contracts with engineering teams.
  • Demonstrated expertise in experimentation platforms, A/B testing, and feature-flag analytics infrastructure.
  • Strong background in distributed systems, including proficiency in PySpark, SQL, and pipeline orchestration.
  • Track record of mentoring mid-level engineers in data-related roles.

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