Prompt Engineer vs Analytics Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Prompt Engineer
Design and optimise prompts for large language models and AI systems.
Analytics Engineer
Build and maintain the data models and pipelines that power business intelligence.
Prompt Engineer earns more on average — the national median is $145/year (0%) higher than a Analytics Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Prompt Engineer vs Analytics Engineer — Salary by City
National median figures in USD across top cities.
| City | Prompt Engineer | Analytics Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $179,192 | $171,525 | Prompt +$7,667 |
| New York, NY | $135,980 | $147,203 | Prompt $11,223 |
| Seattle, WA | $168,489 | $173,765 | Prompt $5,276 |
| Austin, TX | $133,715 | $131,230 | Prompt +$2,485 |
| Chicago, IL | $131,261 | $125,515 | Prompt +$5,746 |
| Boston, MA | $160,844 | $158,382 | Prompt +$2,462 |
| London, UK | £92,719 | £93,991 | Prompt $1,272 |
| Toronto, Canada | CA$162,766 | CA$163,067 | Prompt $301 |
Frequently Asked Questions
Does a Prompt Engineer or Analytics Engineer earn more?+
A Prompt Engineer earns more on average. The national median salary for a Prompt Engineer is $120,230/year, compared to $120,085/year for a Analytics Engineer — a difference of $145 (0%).
Which has better career growth — Prompt Engineer or Analytics Engineer?+
Prompt Engineer roles are growing at 80% YoY while Analytics Engineer demand is growing at 38% YoY. Prompt Engineer has stronger near-term demand growth.
Can you switch from Prompt Engineer to Analytics 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 — Prompt Engineer or Analytics Engineer?+
Prompt Engineer has a lower AI automation risk (15% vs 35%). Based on Oxford Martin School and McKinsey 2023 analysis.