| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$142,800–$274,800 / yr
Posted
60 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 $209k
$101k most similar roles pay here $293k

This role pays more than 95% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $209k 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 Principal Data Engineer at Microsoft CoreAI, you will lead the architectural direction for data and analytics foundations that power AI platforms globally. Your role involves defining long-term technical strategies, designing robust data pipelines, and ensuring reliable ingestion, transformation, and storage of high-volume data from diverse sources. You will collaborate with stakeholders to implement rigorous data validation protocols, enable self-service analytics, and mentor senior engineers while fostering a culture of excellence. The ideal candidate has deep experience in cloud-based distributed systems, particularly Azure, and expertise in modern data engineering languages like PySpark and SQL. This role demands strong communication skills for conveying complex technical concepts across various teams and requires extensive knowledge in data governance, privacy, and security best practices within enterprise environments.

Skills

Azure Python Spark SQL Azure Data Lake PySpark Azure Synapse Azure Data Explorer CI/CD Kubernetes Docker Terraform PostgreSQL Snowflake Git Jenkins GitHub Google Cloud Storage AWS S3 BigQuery DataBricks Hadoop Airflow

What you'll do

  • Own and define end-to-end data and analytics architecture for CoreAI platforms.
  • Design and build large-scale, robust data pipelines supporting AI workloads.
  • Develop scalable ETL/ELT workflows ensuring reliable data ingestion and transformation.
  • Implement rigorous data validation protocols to ensure accurate and auditable analytics.
  • Enable self-service analytics by building semantic layers and tools for trusted information access.
  • Mentor senior engineers and guide complex design decisions in engineering projects.

What we're looking for

  • Master's degree or equivalent 4+ years of relevant experience in data science/engineering.
  • Deep expertise in architecting large-scale distributed data systems on Azure.
  • Proficiency in implementing optimized data pipelines using modern frameworks like PySpark and SQL.
  • Strong understanding of data governance, privacy, lineage, and security best practices.
  • Excellent communication skills for technical and non-technical audiences.
  • Extensive experience collaborating in cross-functional teams to drive innovation.
  • Track record of leading technical projects and mentoring senior engineers.

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