| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $142,800–$274,800 / yr
Posted: 53 days ago
Closes: Oct 10, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k

This role $209k

$127k most similar roles pay here $291k

This role pays more than 65% of similar roles. Most pay $162,700–$214,500 — the shaded band above. At the midpoint, this role pays about $209k versus about $189k for comparable roles.

Based on 240 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 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

Apply Now Log in to save

Join Microsoft AI as a Member of Technical Staff - Data Engineer to contribute to building mission-critical data pipelines that ingest, process, and publish data from personal AI systems. As part of the Data Platform Engineering team, you will work on scalable solutions that support model fine-tuning and data introspection for continuous improvement in human-AI interactions. Your day-to-day responsibilities include collaborating with platform, infrastructure, application engineers, and AI researchers to develop next-generation data platforms using big data processing technologies such as Apache Hadoop, Kafka, NoSQL databases, and cloud services like Azure or AWS. Ideal candidates have a strong background in computer science, software engineering, and at least 6 years of experience in data engineering or related fields, with proficiency in Python, Java, Spark, SQL, and distributed systems architecture.

Skills

Python Java Spark SQL Apache_Hadoop Kafka NoSQL Azure AWS GCP CI/CD Docker Kubernetes Terraform PostgreSQL MSSQL

What you'll do

Build scalable data pipelines for ingesting, transforming, and publishing data from AI systems.
Collaborate with engineers and researchers to develop next-generation data platform products and services.
Design and implement data governance, compliance, and security measures for data assets.
Develop distributed systems on public cloud infrastructure like Azure or AWS at scale.
Maintain expertise in big data processing technologies such as Apache Hadoop, Kafka, and NoSQL.
Stay updated with industry trends and best practices in web development and AI.

What we're looking for

Bachelor's degree in a relevant field and 6+ years of experience or equivalent.
Proficiency in building data processing applications using Python, Java, Spark, SQL.
Experience with Apache Hadoop ecosystem, Kafka, NoSQL databases.
Strong background in data governance, compliance, and security.
Expertise in developing scalable services on public cloud platforms like Azure, AWS, GCP.
Track record of building distributed systems at scale and deep understanding of infrastructure technologies.

| Microsoft Careers

Microsoft

US 178 days ago $85,400–$168,100

Python Pandas NumPy Spark Ray Apache_Beam Azure Docker Kubernetes CI/CD Git PostgreSQL TensorFlow PyTorch Hugging_Face GitHub_Pods Visual_Studio_Code LoRA DeBerTa Oscar Rho-1 Florence Phi_Models

Save