This role pays more than
66%
of similar roles. Most pay
$174,600–$225,000
— the shaded band above.
At the midpoint, this role pays about
$209k
versus about
$200k
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
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
As a Principal Software Engineer on the Measurements Engineering team, you will architect and build highly scalable backend services and data pipelines for conversion tracking, attribution, reporting, and campaign optimization. You will design end-to-end workflows for online and offline signals, manage event ingestion, identity matching, and deduplication while ensuring high reliability and data quality. The role involves driving integrations with external partners through stable interfaces and consent-aware data handling to improve measurement accuracy and explainability. You will mentor engineers and lead technical architecture across the software development lifecycle. Required skills include proficiency in C, C++, C#, Java, JavaScript, or Python, along with experience in SQL, cloud infrastructure like Azure, AWS, or GCP, and CI/CD pipelines. The work focuses on solving complex advertising measurement challenges by building privacy-safe systems to capture conversion signals and optimize advertiser spend.
What does a Software Engineer earn in Washington?
Median $202800 from 326 postings across 28 companies.
Architect and build scalable backend services and data pipelines for conversion tracking, attribution, and reporting.
Design end-to-end conversion workflows including event ingestion, identity matching, deduplication, and value processing.
Lead the engineering direction for high-reliability systems with strict SLOs and robust data quality controls.
Develop integrations with external partners using stable interfaces, schema governance, and consent-aware data handling.
Improve conversion accuracy and coverage through diagnostics, reconciliation, experimentation, and automated monitoring.
Champion engineering quality through design reviews, automated testing, and production readiness protocols.
Mentor team members to improve their system design depth and architectural thinking.
Lead the team in applying AI development tools across the software development lifecycle.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 6+ years of experience coding in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass the Microsoft Cloud background check.
Master's Degree in Computer Science and 8+ years of engineering experience (preferred).
Bachelor's Degree in Computer Science and 12+ years of engineering experience (preferred).
7+ years of experience building and operating large-scale distributed systems, backend services, or data platforms (preferred).
Solid skills in C#, Java, Go, or Python, along with SQL or data-processing frameworks (preferred).
Expertise in cloud infrastructure including service design, storage, compute, networking, and CI/CD pipelines (preferred).
Experience in advertising technology, conversion tracking, attribution systems, or privacy-aware measurement (preferred).
Distributed Systems
Data Governance
C
C++
C#
Java
JavaScript
Python
Storage Systems
Data Processing
Data Lifecycle Management
Compliance
Architecture Strategy
Data Residency