Overnight Microsoft Data Engineer information
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$44.5K - $56.6K
0% of jobs
$56.6K - $68.7K
1% of jobs
$68.7K - $80.8K
3% of jobs
$80.8K - $92.9K
4% of jobs
$115.5K is the 25th percentile. Wages below this are outliers.
$105K - $117K
11% of jobs
$117K - $129.1K
12% of jobs
The median wage is $132.4K / yr.
$129.1K - $141.2K
45% of jobs
$141.2K - $153.3K
8% of jobs
$153.3K - $165.4K
5% of jobs
$165.4K - $177.5K
3% of jobs
How much do overnight microsoft data engineer jobs pay per year?
As of Aug 17, 2026, the average yearly pay for overnight microsoft data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
Overnight Microsoft Data Engineers are IT professionals who specialize in developing, managing, and optimizing data solutions using Microsoft technologies during overnight shifts. They work with platforms such as Azure, SQL Server, and Power BI to ensure data pipelines, databases, and analytics systems are running smoothly, often performing maintenance or troubleshooting outside of standard business hours. Their responsibilities may include monitoring data flows, resolving technical issues, and supporting business intelligence needs to ensure data availability and reliability for the next business day.
To thrive as an Overnight Microsoft Data Engineer, you need strong skills in data modeling, ETL processes, and expertise with Microsoft SQL Server and Azure data services, typically supported by a degree in computer science or a related field. Proficiency in tools like Azure Data Factory, SQL Server Integration Services (SSIS), and relevant Microsoft certifications such as Azure Data Engineer Associate are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for quickly resolving issues and collaborating with remote or global teams during overnight shifts. These skills ensure data pipelines remain reliable, secure, and efficient, supporting continuous business operations across time zones.
Overnight Microsoft Data Engineers often encounter challenges such as maintaining system uptime during off-peak hours, managing data pipeline failures, and ensuring data integrity without immediate access to full team support. Effective communication with day teams, thorough documentation, and leveraging automated monitoring tools are essential strategies for overcoming these challenges. Additionally, being proactive in identifying potential issues and collaborating with cross-functional teams during handover meetings helps ensure smooth operations and consistent data quality.
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