Principal Data Engineer - CoreAI
@ Microsoft

Redmond, Washington, United States
On Site
Full-time
Posted 18 days ago

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Job Details

Overview

CoreAI is Microsoft’s central organization building the foundational platforms and tools to power AI experiences across products including GitHub Copilot, Azure AI Foundry, and Copilot Studio. We are rapidly expanding and establishing a world-class data analytics platform to support data-driven decision-making and enhance growth strategies.

Role Summary

As a Principal Data Engineer - CoreAI, your work will transform data into actionable intelligence and fuel AI-driven innovation. In this strategic role, you will provide technical leadership and collaborate with product teams, enabling them to turn complex datasets into breakthrough business value.

Responsibilities

  • Advance Microsoft’s AI growth engine by ensuring quality and accessibility of data.
  • Support data-driven decision-making across executive strategy and product development.
  • Enhance the Foundry platform with secure, ethical, and transparent data management.
  • Collaborate and foster a culture of inclusion, creativity, and technical excellence.

Company Culture

Microsoft’s mission is to empower every person and organization on the planet, and we innovate with a growth mindset. Our values of respect, integrity, and accountability create an inclusive work environment where everyone can thrive.

Key skills/competency

  • Data Engineering
  • Data Analytics
  • AI Innovation
  • Architectural Insight
  • Collaboration
  • Ethical Data Management
  • Security
  • Strategic Decision-making
  • Technical Leadership
  • Inclusion

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data engineering achievements.
  • Research Microsoft: Understand their AI and platform strategies.
  • Showcase leadership: Detail experiences leading technical teams.
  • Prepare for technical interviews: Practice architecture and data challenges.

📝 Interview Preparation Advice

Technical Preparation

Review data architecture principles.
Study advanced SQL and data pipelines.
Understand cloud data platforms.
Practice system design challenges.

Behavioral Questions

Describe a challenging team collaboration.
Explain a time you led technical projects.
Discuss your approach to ethical dilemmas.
Share experience fixing project delays.

Frequently Asked Questions