Data Engineer II

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $102,100–$202,200 / yr
Posted: 8 days ago
Closes: Dec 16, 2026
Nearby: 99 roles within 25 mi

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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At a glance

TL;DR · Data Engineer II

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As a Data Engineer II at Global Skilling, you will join a team dedicated to building a unified, secure, and governed data platform that powers reporting, insights, and data products across Microsoft. Your day-to-day responsibilities include designing and maintaining ETL pipelines for diverse data sources, implementing data-sharing frameworks with RBAC, contributing to data mesh patterns, developing REST APIs for low-latency data consumption, and creating Power BI semantic models for self-serve analytics. You will work with technologies such as PySpark, SQL, Python, Azure Data Factory, Synapse, and Databricks, ensuring data governance, lineage, and compliance in a global-scale environment serving over 1 billion learners. This role is crucial for enabling efficient data ingestion, exposure, and consumption across Microsoft’s expansive ecosystem.

Skills

Python SQL PySpark Power BI Azure Data Factory Azure Synapse Databricks REST APIs OpenAPI Swagger gRPC GraphQL RBAC Azure SQL Cosmos DB Data Mesh CI/CD Power Query M DAX ETL Kubernetes Terraform

What you'll do

Build and maintain ETL pipelines ingesting diverse data sources.
Design and implement data-sharing frameworks with RBAC access controls.
Contribute to data mesh patterns, including domain-owned datasets and publishing.
Develop and manage REST APIs exposing WISE datasets as secure data products.
Create Power BI semantic models and reporting solutions for stakeholder insights.

What we're looking for

Master's Degree in a relevant field with 1+ year of experience or Bachelor's with 2+ years in related roles.
Experience designing and building production data solutions, including ETL pipelines, backend services, or BI systems.
Proficiency in PySpark, SQL, Python for data modeling, transformation, and pipeline development.
Experience with REST APIs, schema design, versioning, and operations in data service environments.
Familiarity with Microsoft Azure data platforms and tools such as Synapse, Databricks, and API Management.
Knowledge of data governance, sharing, access control (RBAC), lineage, data quality, and compliance practices.

Data Engineer

Booz Allen Hamilton

Arlington, VA 4 days ago $62,000–$141,000

Python AWS EMR Redshift SageMaker Databricks Apache Spark Terraform CloudFormation CI/CD Kubernetes Prometheus Grafana NVIDIA CUDA PostgreSQL Snowflake BigQuery

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