Sr Etl Engineer information
See salary details
$59.5K - $70.8K
1% of jobs
$104.4K is the 25th percentile. Wages below this are outliers.
$93.3K - $104.6K
14% of jobs
$104.6K - $115.9K
17% of jobs
The median wage is $120.6K / yr.
$115.9K - $127.1K
19% of jobs
$127.1K - $138.4K
13% of jobs
$139.8K is the 75th percentile. Wages above this are outliers.
$138.4K - $149.7K
11% of jobs
$149.7K - $161K
7% of jobs
$161K - $172.2K
5% of jobs
$172.2K - $183.5K
3% of jobs
How much do sr etl engineer jobs pay per year?
As of Aug 24, 2026, the average yearly pay for sr etl engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.
Sr ETL Engineers, or Senior Extract, Transform, Load Engineers, are experienced professionals responsible for designing, developing, and maintaining the data pipelines that move and transform data from various sources into data warehouses or databases. They ensure data quality, optimize performance, and support business intelligence initiatives by enabling reliable access to clean, structured information. These engineers often work with large datasets, use ETL tools and scripting languages, and collaborate closely with data analysts, architects, and other stakeholders.
To thrive as a Sr ETL Engineer, you need a strong background in data integration, database management, and SQL, usually supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or SSIS, along with experience in data warehousing systems and cloud platforms, is typically required; relevant certifications can be advantageous. Strong problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring data quality. These skills and qualifications are important for efficiently designing, implementing, and maintaining reliable data pipelines that support critical business decision-making.
Sr ETL Engineers often encounter challenges such as handling inconsistent data formats, ensuring data quality, and managing large volumes of data from disparate systems. They must design robust ETL pipelines that can efficiently transform and load data while minimizing downtime and errors. Collaboration with data architects, business analysts, and source system owners is crucial to understand requirements and resolve data discrepancies quickly. Successfully navigating these challenges helps ensure reliable, timely access to data for analytics and business insights.
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