Data Engineer II

Microsoft

Quick summary

Work type
On-site
Location
—
Salary
$102,100–$202,200 / yr
Posted
32 days ago
Closes
Nov 22, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k
This role $152k
$90k most similar roles pay here $218k

This role pays less than 65% of similar roles. Most pay $129,750–$205,337 — the shaded band above. At the midpoint, this role pays about $152k versus about $168k 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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 636 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Data Engineer II

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As a Data Engineer II on Microsoft’s Insider Risk Program team, you will design and manage data pipelines to ingest, process, and prepare data for insider risk detection models. Your day-to-day involves joining and filtering diverse datasets, applying advanced transformation techniques, and developing scalable detection models to identify potential threats proactively. You’ll collaborate closely with cross-functional teams to refine use cases, maintain system reliability through on-call rotations, and document processes rigorously. The role requires proficiency in query languages like SQL or KQL, experience with object-oriented programming such as Python or C#, and familiarity with big data tools including PySpark and Azure Synapse. Ideal candidates have a background in data engineering or related fields, with strong problem-solving skills and compliance knowledge, working effectively within agile frameworks to ensure robust security measures are implemented across Microsoft’s global environments.

Skills

SQL KQL Python C# Java Azure Synapse PySpark Databricks CI/CD Scrum Kanban DevOps Git Azure AWS PostgreSQL Snowflake BigQuery Hadoop Spark Terraform

What you'll do

  • Design and optimize data pipelines for insider risk detection models.
  • Integrate diverse data sources to create comprehensive datasets for analysis.
  • Develop and deploy advanced insider risk detection models based on data insights.
  • Maintain and monitor insider risk engineering systems for reliability and security.
  • Lead incident response and conduct root-cause analysis during on-call rotations.

What we're looking for

  • Master's Degree in Computer Science or related field with 1+ year of experience, or Bachelor’s degree with 2+ years.
  • Design and optimize data pipelines for insider risk detection models.
  • Join and integrate diverse datasets to create comprehensive insights.
  • Develop and deploy advanced insider risk detection models based on data-driven analysis.
  • Maintain and monitor systems for reliable operation and compliance.
  • Proficiency in query languages (SQL, KQL) and object-oriented programming.

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