Senior Data Engineer Job at Microsoft Corporation (Redmond)

Job Description

The Windows Ecosystem & Commercial Engagement (WECE) – Quality, Reliability, and Telemetry (QRT) team is responsible for ensuring Windows ships safely, reliably, and at scale across the full ecosystem—including Microsoft‑owned devices, OEMs, silicon partners, and third‑party hardware and software configurations. As a Senior Data Engineer on the QRT team, you will own and evolve the internal data platforms that power Windows quality, selfhost readiness, and ecosystem decision‑making. This role is focused on building durable, governed data pipelines and analytical foundations across Asimov telemetry, Cosmos/Spark, Windows Census, and Power BI, enabling engineering teams and leadership to act on trusted signal. This is not a reporting‑only role. You will be responsible for end‑to‑end data systems—from ingestion and modeling to reliability, governance, and operational excellence.

Job Responsibility

Architect, implement, and operate batch and streaming data pipelines ingesting telemetry from internal Windows systems
Build and maintain authoritative datasets using sources such as Windows Census, device telemetry, and selfhost participation data
Design and enforce data contracts, schemas, and semantic models that are stable, documented, and easy to consume
Develop curated analytical layers and semantic models that power Power BI dashboards for engineering and leadership
Own data quality and reliability: validation, deduplication, anomaly detection, backfills, and reprocessing
Integrate privacy, security, and governance requirements into all data pipelines and access patterns
Optimize for scale and cost, balancing compute, storage, retention, and performance
Build and operate observability for data systems (metrics, logging, alerts, runbooks, incident response)
Partner closely with: QRT engineers
Internal Windows Engineering teams
WECE selfhost and partner programs
Privacy, security, and compliance stakeholders
Mentor early in career engineers and raise the bar for engineering rigor, ownership, and operational maturity

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years 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 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
5+ years of experience building and operating production data systems
Solid experience with SQL, Kusto, and data modeling (fact/dimension modeling, device‑centric analytics, semantic layers)
Proficiency in one or more data‑engineering languages (e.g., Python, Scala, Java, C#)
Experience operating data pipelines at scale with reliability and governance requirements
Demonstrated ability to debug production issues and drive root cause to closure
Solid collaboration skills across engineering, product, and partner teams

Nice to have

Hands‑on experience with Asimov telemetry, Cosmos/Spark, or large‑scale internal telemetry systems
Experience working with Windows Census or device‑level telemetry
Building Power BI semantic models and supporting executive‑level reporting
Experience with Azure‑based data platforms (ADLS, Databricks, Fabric, Synapse)
Familiarity with privacy‑sensitive telemetry and consent‑driven data models
Experience supporting selfhost, validation, or ecosystem readiness programs

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Senior Data Engineer

Job Description

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