| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $119,800–$234,700 / yr
Posted: 63 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 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 Data Engineer joining the IT Process and Standards (ITPS) team within Microsoft’s Cloud Operations & Innovation (CO+I), you will design and implement scalable data models and pipelines to support analytics and reporting, extract, transform, and load (ETL) data from multiple sources while ensuring quality and performance. You will collaborate with stakeholders to define data requirements, optimize pipelines for efficiency and scalability, and build visualizations to track pipeline health and data quality. This role requires expertise in Python, SQL, and cloud platforms like Azure Data Factory or AWS Glue, along with experience in data governance and compliance. The team supports critical services such as Azure AI and high-performance computing clusters, ensuring reliable and efficient IT operations at a global scale.

Skills

Python SQL ETL Data Modeling Kafka Hadoop Azure AWS Docker CI/CD Git PostgreSQL Snowflake Apache Spark Airflow Terraform Prometheus Grafana

What you'll do

Design and implement scalable data models and pipelines for analytics.
Extract, transform, and load (ETL) data from multiple sources to ensure quality.
Assess and improve breakfix ticketing data sources for better integrity.
Monitor and optimize data pipelines for efficiency, cost, and scalability.
Define data requirements with stakeholders and align on delivery timelines.

What we're looking for

Master's Degree in a relevant field and 6+ years of experience in data-related roles or Bachelor's Degree and 8+ years of experience.
At least 2 years of experience in data governance, compliance, and security.
Strong skills in designing and implementing scalable data models and ETL processes.
Ability to optimize data pipelines for efficiency, cost, and resilience at scale.
Experience collaborating with stakeholders to define data requirements and timelines.
Proficiency in monitoring and building visualizations for pipeline health and data quality.
Excellent communication skills to work effectively with technical and non-technical teams.

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