| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $119,800–$234,700 / yr
Posted: 47 days ago

Market check

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 1578 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1406 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Software Engineer at Microsoft Advertising, you will join a dynamic team focused on driving data strategy and enhancing digital advertising solutions. Your primary responsibilities include collaborating with cross-functional teams to design high-quality data solutions, developing and optimizing data models, and implementing advanced analytics techniques to extract valuable insights from large datasets. You will also ensure data integrity through validation frameworks and monitoring systems while troubleshooting issues in data pipelines to maintain timely and accurate data delivery. Additionally, you will advocate for best practices, coach team members, and work with a security-first mindset to build scalable and maintainable systems. The ideal candidate has extensive experience in coding languages such as C#, Java, or Python, expertise in SQL and RDBMS, familiarity with cloud platforms like Azure, and proficiency in data processing frameworks including Apache Spark and Hadoop.

Skills

Python Java JavaScript Apache Spark Hadoop RDBMS Azure Docker Kubernetes Tableau Power BI SQL

What you'll do

Develop and optimize data models to support analytics.
Extract insights from large datasets using advanced techniques.
Implement frameworks to validate and monitor data quality.
Troubleshoot issues in data pipelines for timely delivery.
Coach peers and mentor team members on best practices.

What we're looking for

8+ years of technical engineering experience in coding languages like C#, Java, Python.
Solid experience in data processing frameworks such as Apache Spark and Hadoop.
Expertise in SQL with experience using RDBMS and key-value stores.
Familiarity with cloud platforms and Azure services.
Experience with machine learning tools and data visualization software.
Strong problem-solving skills and ability to work independently and collaboratively.
Knowledge of containerization and orchestration tools like Docker and Kubernetes.

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