| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
WA
Salary
$119,800–$234,700 / yr
Posted
18 days ago
Closes
Nov 24, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 68% of similar roles. Most pay $152,150–$196,750 — the shaded band above. At the midpoint, this role pays about $177k versus about $174k 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a senior software engineer on the Azure Data Analytics team within Microsoft Fabric, you will design and develop core infrastructure services for data engineering workloads powered by Apache Spark. Your day-to-day responsibilities include improving scalability, resiliency, and observability of Spark-based services, collaborating with product and client teams to deliver end-to-end features, and driving technical excellence through design reviews and performance tuning. You should have strong software engineering fundamentals, experience with distributed systems, and proficiency in languages like Java, Scala, or Python. Familiarity with Apache Spark is beneficial but not mandatory for eager learners. This role involves working on high-scale distributed systems to enhance developer productivity and operational efficiency within a cloud-native environment.

What you'll do

  • Design and develop core infrastructure services for data engineering workloads on Spark.
  • Enhance scalability, resiliency, and observability of Spark-based services through continuous improvement.
  • Implement intelligent job/session orchestration and scheduling to optimize workflow efficiency.
  • Troubleshoot and improve systems using production instrumentation (logs, metrics, traces).
  • Partner with cross-functional teams to deliver end-to-end features for data engineering experiences.

What we're looking for

  • Strong software engineering fundamentals including data structures, algorithms, testing, debugging, and performance.
  • Experience building and shipping production infrastructure in a cloud environment for backend services or distributed systems.
  • Solid understanding of distributed system concepts such as fault tolerance, scaling, scheduling, and resource management.
  • Proficiency in at least one backend/system language like Java, Scala, C#, C++, or Python.
  • Quick learner with a growth mindset to rapidly adapt to new domains, tools, and codebases.
  • Ability to thrive in an AI-powered engineering environment, adopting AI-assisted workflows for productivity improvement.

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