Microsoft

Data Engineer II

Microsoft$102K — $202K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or Bachelor's degree in Computer Science, Math, or related fields with relevant experience in data roles.
  • 1+ year of experience in business analytics, data science, software development, data modeling, or data engineering for Master’s.
  • 2+ years of relevant experience for Bachelor’s degree holders or equivalent experience.
  • Ability to meet Microsoft security screening requirements including the Microsoft Cloud Background Check.
  • Preferred familiarity with Microsoft Fabric, Kusto/Eventhouse, and AI-driven analytics.

Responsibilities

  • Architect and operate a unified, governed agentic data platform for OPG.
  • Own the long-term architecture and sustainable engineering standards for the curated data layer.
  • Build reliable orchestration and observability systems for data operations.
  • Ensure AI-generated insights are based on governed and deterministic data.
  • Lead architecture reviews and collaborate with teams to enhance product capabilities.

Benefits

  • Full access to Microsoft's extensive health care plan including medical, dental, and vision.
  • Professional development opportunities within a leading technology company.
  • Collaborative and innovative team culture fostering growth and creativity.
  • Access to a variety of resources for work-life balance including flexible working hours.
Full Job Description
Overview

The Office Product Group (OPG) Data Platform team is building a unified, governed data platform for Office Product Group. The team's mission is to provide a trusted intelligence backbone that enables OPG teams to deliver business-critical insights, scorecards, dashboards, feature health reports, experimentation intelligence, and AI-ready experiences from a shared source of truth. We are looking for a Data Engineer II to design, lead the AI and agentic systems that build, operate, and scale a curated OPG data platform, the governed source of truth that experimentation, growth, and Copilot scenario analysis run on. In this role, you will be orchestrating and driving the long-term architecture for the agents to do the low-level ingestion, transformation, and metric engineering.

Responsibilities

  • Architect the agentic data platform - the AI systems that generate, validate, operate, and scale ingestion, transformation, and serving - so new datasets and metrics are onboarded by orchestration rather than bespoke engineering.
  • Own the long-term architecture and durable engineering patterns for the curated data and semantic layer as OPG's governed source of truth across Microsoft Fabric, Kusto/Eventhouse, and OneLake.
  • Build the orchestration, guardrails, evaluations, and self-healing observability that let agents run data operations reliably, with engineers supervising outcomes rather than hand-tending pipelines.
  • Ground AI-generated reports, narratives, and exports in deterministic, governed data so numbers are never invented.
  • Lead architecture and design reviews, raise the engineering bar for applied AI, and partner across experimentation, growth, and app teams to turn ambiguous product needs into durable platform capability.


Qualifications

Required Qualifications:
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering
    • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
  • Experience designing and operating large-scale data platforms, distributed services, or analytics systems. Recent experience building AI agentic systems with latest models.
  • Deep engineering judgment in data modeling, KQL or SQL, data contracts, CI/CD, observability, reliability, and service operations.
  • Ability to partner across engineering, program management, data/applied science, analytics, and app teams to convert ambiguous product needs into durable platform capabilities.
  • Demonstrated ability to drive cross-team technical alignment and mentor engineers through architecture, implementation, and operational readiness.
  • Familiarity with Microsoft Fabric, Kusto/Eventhouse, OneLake, ADLS Gen2/Delta, semantic models, Power BI, or AI-driven analytics is preferred.

#OPG #OPGHiring

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
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