| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$119,800–$234,700 / yr
Posted
46 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 66% 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 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

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As a Senior Data Engineer on the M365 Copilot App Platform team, you will design and build scalable data pipelines and platforms that power advanced analytics and AI solutions within Microsoft’s expansive ecosystem. Your daily tasks include developing robust ETL/ELT workflows using modern frameworks like Spark, Azure Data Lake, and Synapse, ensuring high performance and security while collaborating with software engineers and product teams to integrate data-driven solutions into innovative AI products. You will also mentor team members on best practices and contribute to architectural decisions for next-generation data platforms, all while maintaining compliance with enterprise security policies and optimizing cost efficiency in large-scale distributed systems.

Skills

Spark Azure Data Lake Synapse Power BI Vibe-coded apps Data Lake CI/CD Python SQL Kafka Cosmos DB Docker Git Jenkins Terraform Azure Monitor Prometheus Grafana Snowflake PostgreSQL

What you'll do

  • Design and implement robust ETL/ELT workflows using modern data engineering frameworks.
  • Build distributed data processing systems leveraging Spark, Azure Data Lake, and Synapse.
  • Establish standards for data integrity, lineage, and compliance with security policies.
  • Monitor and tune data pipelines to ensure efficiency, scalability, and cost optimization.
  • Develop low/no-code dashboards and data-driven apps for self-service analytics.

What we're looking for

  • Master's degree in CS/Math/SE/CE or equivalent experience.
  • 3+ years of data engineering/software development experience.
  • Expertise in building distributed data processing systems using Spark/Azure Data Lake/Synapse.
  • Experience developing low/no-code dashboards for self-service analytics.
  • Proficiency in managing machine learning data pipelines and feature engineering.
  • Strong understanding of data security, privacy compliance, and governance.

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