Data Engineer vs Prompt Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Data Engineer
Build and maintain data pipelines, warehouses, and ETL infrastructure.
Prompt Engineer
Design and optimise prompts for large language models and AI systems.
Data Engineer earns more on average — the national median is $19,270/year (16%) higher than a Prompt Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Data Engineer vs Prompt Engineer — Salary by City
National median figures in USD across top cities.
| City | Data Engineer | Prompt Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $202,499 | $179,192 | Data +$23,307 |
| New York, NY | $131,540 | $135,980 | Data $4,440 |
| Seattle, WA | $105,430 | $168,489 | Data $63,059 |
| Austin, TX | $153,836 | $133,715 | Data +$20,121 |
| Chicago, IL | $154,010 | $131,261 | Data +$22,749 |
| Boston, MA | $179,962 | $160,844 | Data +$19,118 |
| London, UK | £108,711 | £92,719 | Data +$15,992 |
| Toronto, Canada | CA$181,115 | CA$162,766 | Data +$18,349 |
Frequently Asked Questions
Does a Data Engineer or Prompt Engineer earn more?+
A Data Engineer earns more on average. The national median salary for a Data Engineer is $139,500/year, compared to $120,230/year for a Prompt Engineer — a difference of $19,270 (16%).
Which has better career growth — Data Engineer or Prompt Engineer?+
Data Engineer roles are growing at 34% YoY while Prompt Engineer demand is growing at 80% YoY. Prompt Engineer has stronger near-term demand growth.
Can you switch from Data Engineer to Prompt Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: Python.
Which is harder to automate — Data Engineer or Prompt Engineer?+
Prompt Engineer has a lower AI automation risk (15% vs 42%). Based on Oxford Martin School and McKinsey 2023 analysis.