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Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $119,800–$234,700 / yr
Posted: 67 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 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 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Software Engineer on Microsoft's Measurement and Data Collaboration Engineering team, you will design and build highly scalable backend services and data pipelines using C# or Java to support privacy-preserving measurement scenarios. You’ll collaborate with product, data science, privacy, and security teams to integrate Azure Confidential Compute Clean Room (ACCR) with third-party clean room partners, ensuring secure data collaboration workflows across multiple parties. Your responsibilities include driving integrations with external partners, contributing to engineering best practices, and leading initiatives to streamline software delivery processes throughout the SDLC. The ideal candidate has 5+ years of experience in large-scale distributed systems, cloud platforms like Azure, and secure data processing frameworks such as Spark or SQL-based pipelines.

Skills

C# Java Azure Spark SQL CI/CD Kubernetes Docker Prometheus Grafana Git GitHub Jenkins Python PostgreSQL Redis MongoDB Terraform Ansible AWS Google Cloud Platform Snowflake Hadoop Kafka Nginx OAuth OpenID Connect RESTful APIs GraphQL

What you'll do

Design and build highly scalable backend services for privacy-preserving measurement using C# or Java.
Create secure data collaboration workflows across multiple parties using modern privacy technologies.
Drive integrations with external partners to ensure stable interfaces and robust validation.
Lead initiatives to streamline software delivery through the entire development lifecycle.
Contribute to engineering best practices by leveraging AI dev tools throughout SDLC.

What we're looking for

5+ years of experience building and operating large-scale distributed systems.
Proficiency in designing secure data collaboration workflows using modern privacy technologies.
Experience with Azure and large-scale data processing frameworks like Spark or SQL-based pipelines.
Strong background in secure data processing, encryption, identity, and access control.
Solid problem-solving skills focused on reliability, observability, and system design.

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