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Data Engineer salary in the US

Median annual salary for Data Engineer in the US across junior, middle, and senior levels, with sources and an interactive calculator.

$United States

Junior

$80 000 – $110 000

Middle

$110 000 – $150 000

Senior

$155 000 – $200 000

Source: Habr Career, Glassdoor 2025

Salary Calculator

Choose a profession, a region, and a level to see the salary range.

Region
Level

Data Engineer · United States

$110 000 – $150 000

Estimated annual Middle salary

Junior$80 000 – $110 000
Middle$110 000 – $150 000
Senior$155 000 – $200 000

Source: Habr Career, Glassdoor 2025

What drives pay for Data Engineer in the US

For a Data Engineer in the United States, pay runs from $80 000 – $110 000 at entry level to $155 000 – $200 000 for senior practitioners, with an overall span of $80 000 – $200 000 according to Habr Career, Glassdoor 2025. Demand is high and competition for experienced practitioners is strong, so where you land inside the band depends more on demonstrated skill and the scope of responsibility you take on than on years in the field alone.

The United States: figures are gross annual salaries in USD, typically quoted as base pay before bonuses and equity. Coastal tech hubs — the San Francisco Bay Area, New York, and Seattle — set the top of the band, while remote-first employers have broadened access to senior-level pay across lower-cost states. Use the calculator below to place yourself: pick a level and compare it against the other regions, so you can tell at a glance where an offer is fair and where it's worth pushing back on.

Most of the lifetime earnings growth happens in the jump from junior to middle: the mid-level band sits at $110 000 – $150 000, and reaching it usually follows a year or two of real, shipped work. That makes the early months disproportionately valuable — the projects you deliver now compound into the band you can negotiate next.

Data Engineer

Build the pipelines that turn raw data into reliable analytics. Data engineers design warehouses, automate ETL/ELT flows, and make data trustworthy for analysts and scientists.

View the Data Engineer roadmap