{"id":1884,"date":"2024-09-24T10:46:13","date_gmt":"2024-09-24T10:46:13","guid":{"rendered":"https:\/\/veriipro.com\/blog\/?p=1884"},"modified":"2026-05-24T06:00:30","modified_gmt":"2026-05-24T06:00:30","slug":"data-engineer-salary-in-usa","status":"publish","type":"post","link":"https:\/\/veriipro.com\/blog\/data-engineer-salary-in-usa\/","title":{"rendered":"Data Engineer Salary in the USA (2026)"},"content":{"rendered":"\n

Data Engineer Salary in the USA (2026)<\/h1>\n\n\n\n

Data engineering is one of the highest-paying career paths in tech right now, and the numbers back it up. The average data engineer salary in the USA<\/strong> sits around $136,906 per year<\/a> as of May 2026, according to Indeed. That is roughly $65 an hour. Factor in bonuses and total compensation, and many engineers are clearing well past $150,000. This article breaks down what you can realistically expect to earn by experience level, location, industry, and skill set, and what you can do to push your number higher.<\/p>\n\n\n\n

What Does a Data Engineer Do?<\/h2>\n\n\n\n

Data engineers build and maintain the systems that move, store, and transform raw data into something usable. Think pipelines, data warehouses, and ETL processes. They are the people making sure that when a data scientist or analyst needs a dataset, it is clean, accessible, and reliable. The role sits at the intersection of software engineering and data infrastructure, and it shows up in nearly every industry today.<\/p>\n\n\n\n

Average Data Engineer Salary in the USA<\/h2>\n\n\n\n

Across major salary platforms in 2026, the average base pay for a data engineer ranges from $123,049 (Salary.com)<\/a> to $136,906 (Indeed)<\/a>. Glassdoor<\/a> puts the median at $132,983. The spread reflects real differences in company size, location, and industry. For a monthly breakdown, the national average works out to roughly $10,400 to $11,400 a month before taxes. Total compensation including bonuses and equity can push significantly higher at larger tech companies.<\/p>\n\n\n\n

Data Engineer Salary by Experience<\/h2>\n\n\n\n

Experience is the single biggest lever on your paycheck in this field. Here is how salaries break down across career stages:<\/p>\n\n\n\n

Entry-Level (0-3 Years)<\/h4>\n\n\n\n

Entry-level data engineers can expect to earn between $80,000 and $105,000<\/a> annually. Glassdoor’s 2026 data puts the average for entry-level roles at $94,798<\/a>. This stage is about proving you can handle real pipelines, not just coursework. Python and SQL are table stakes. Internships, open-source contributions, or a strong portfolio project will help you land at the higher end of this range right out of the gate.<\/p>\n\n\n\n

Mid-Level (4-6 Years)<\/h4>\n\n\n\n

Mid-level engineers are where salaries start to get genuinely competitive. Motion Recruitment’s 2026 Tech Salary Guide<\/a> pegs the national range at $119,000 to $150,000 for this tier. At this stage, employers expect you to own end-to-end pipelines, work with cloud platforms, and contribute to architecture decisions. This is also where cloud certifications start paying off in real dollar terms.<\/p>\n\n\n\n

Senior-Level (7+ Years)<\/h4>\n\n\n\n

Senior data engineers consistently earn $147,000 to $179,000<\/a> in base pay nationally, with staff and principal roles clearing $220,000 or more. Built In<\/a> reports the average senior data engineer salary at $143,076. At large tech companies, total comp with stock can surpass $250,000. Seniors are expected to lead projects, mentor junior engineers, and make architectural calls on large-scale data systems.<\/p>\n\n\n

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Data Engineer Salary by Location<\/h2>\n\n\n\n

Where you work still matters a lot, even with remote options. Here is how major markets compare in 2026:<\/p>\n\n\n\n