2026 Salary Guide
Data Science

Data Engineer Salary in 2026

Data Engineers build the pipelines and architectures that feed ML models with clean, timely data. Proficiency in distributed computing (Spark, Flink) and modern data stacks (dbt, Iceberg) commands strong premiums.

Quick answer: A senior Data Engineer in the US earns a median base salary of $185k in 2026, with a typical range of $155k$228k. Total compensation including equity is often 30–80% higher.

Data Engineer Salary by Experience Level

US base salary ranges, 2026. Excludes equity, bonuses, and benefits.

LevelLowMedianHigh
Junior (0–2 yrs)$88k$105k$125k
Mid-level (3–5 yrs)$120k$142k$170k
Senior (6–9 yrs)Benchmark$155k$185k$228k
Staff / Principal (10+ yrs)$205k$248k$308k

Data Engineer Salary by Location

Estimated senior-level base salary. Multipliers applied to US median of $185k.

LocationEstimated Median
San Francisco$213k
New York$204k
Seattle$200k
Remote (US)Baseline$185k
London$139k
Berlin$129k
Toronto$144k
Singapore$148k
India$56k

Location adjustments reflect cost-of-living differences, local talent supply, and typical employer pay scales for that market. Remote US roles benchmark at 1.0×.

Data Engineer Salary — FAQ

How much does a Data Engineer make?

A Data Engineer in the US earns between $88k (entry-level) and $308k (staff/principal) in base salary in 2026. The median across all experience levels is approximately $170k.

What is a senior Data Engineer salary?

A senior Data Engineer with 6–9 years of experience earns $155k$228k in base, with a median of $185k. In San Francisco or at a top AI lab, total compensation (base + equity + bonus) can easily exceed $320k.

Is Data Engineer a high-paying career?

Yes — Data Engineer is consistently one of the highest-compensated technical roles in the software industry. Demand significantly outpaces supply, which keeps salaries elevated and gives experienced practitioners strong negotiating leverage.

How do I increase my Data Engineer salary?

The highest salary jumps come from: (1) moving to a frontier AI lab or well-funded startup, (2) developing deep specialization in high-demand sub-skills, (3) publishing research or open-source projects that raise your market profile, and (4) negotiating equity as a significant part of your package.

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Browse current Data Engineer job listings across companies big and small.

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