Sas Data Engineer information
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$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
How much do sas data engineer jobs pay per year?
As of Sep 10, 2026, the average yearly pay for sas data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
SAS Data Engineers are professionals who design, develop, and maintain data systems using SAS (Statistical Analysis System) software. They are responsible for extracting, transforming, and loading (ETL) data, building data pipelines, and ensuring data quality and integrity for analytics and reporting. These engineers often collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets and support data-driven decision-making. Proficiency in SAS programming, database management, and data modeling are key skills for this role.
SAS Data Engineers work closely with data analysts and business stakeholders to ensure that data pipelines and datasets align with business needs. They gather requirements, design efficient ETL processes, and transform raw data into usable formats for analysis and reporting. Regular communication is essential to clarify data definitions, troubleshoot issues, and make iterative improvements based on feedback. This collaborative approach ensures data integrity and accelerates the delivery of actionable insights.
To thrive as a SAS Data Engineer, you need strong expertise in data analysis, data modeling, and proficiency in SAS programming, often backed by a degree in computer science, statistics, or a related field. Familiarity with ETL tools, SQL, data warehousing systems, and relevant SAS certifications is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and address complex data challenges. These competencies are crucial for ensuring accurate data processing, robust analytics, and delivering actionable business insights.
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