Full Time Sql 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 full time sql data engineer jobs pay per year?
As of Aug 17, 2026, the average yearly pay for full time sql 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.
A Full Time SQL Data Engineer is responsible for developing, maintaining, and optimizing databases using SQL (Structured Query Language). They design data models, write complex queries, and ensure data integrity and security within the organization’s systems. SQL Data Engineers also collaborate with analysts and other IT professionals to support reporting, analytics, and data-driven decision making. Their work often includes automating data pipelines and troubleshooting performance issues to keep databases running efficiently.
As a full-time SQL Data Engineer, you’ll frequently work alongside data analysts, business intelligence teams, and sometimes software developers. Your primary responsibility is to design, build, and maintain databases and ETL processes, ensuring data is accessible, reliable, and well-structured for analysis. Regular collaboration involves understanding stakeholder data needs, troubleshooting data issues, and optimizing queries to improve performance. Effective communication and a proactive approach to problem-solving are crucial, as you may need to translate business requirements into technical solutions and provide guidance on best practices.
To thrive as a Full Time SQL Data Engineer, you need strong expertise in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, MySQL, or PostgreSQL), ETL tools, and sometimes certifications like Microsoft Certified: Azure Data Engineer Associate are typical requirements. Analytical thinking, problem-solving, and effective communication are crucial soft skills that set top performers apart. These capabilities are vital for ensuring robust data infrastructure, maintaining data integrity, and supporting business decision-making processes.
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