Rust Developer vs Analytics Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Rust Developer
Build systems-level software with memory safety using Rust.
Analytics Engineer
Build and maintain the data models and pipelines that power business intelligence.
Rust Developer earns more on average — the national median is $15,895/year (13%) higher than a Analytics Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Rust Developer vs Analytics Engineer — Salary by City
National median figures in USD across top cities.
| City | Rust Developer | Analytics Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $195,079 | $171,525 | Rust +$23,554 |
| New York, NY | $166,830 | $147,203 | Rust +$19,627 |
| Seattle, WA | $191,304 | $173,765 | Rust +$17,539 |
| Austin, TX | $154,567 | $131,230 | Rust +$23,337 |
| Chicago, IL | $143,868 | $125,515 | Rust +$18,353 |
| Boston, MA | $179,869 | $158,382 | Rust +$21,487 |
| London, UK | £106,048 | £93,991 | Rust +$12,057 |
| Toronto, Canada | CA$177,835 | CA$163,067 | Rust +$14,768 |
Frequently Asked Questions
Does a Rust Developer or Analytics Engineer earn more?+
A Rust Developer earns more on average. The national median salary for a Rust Developer is $135,980/year, compared to $120,085/year for a Analytics Engineer — a difference of $15,895 (13%).
Which has better career growth — Rust Developer or Analytics Engineer?+
Rust Developer roles are growing at 32% YoY while Analytics Engineer demand is growing at 38% YoY. Analytics Engineer has stronger near-term demand growth.
Can you switch from Rust Developer to Analytics Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Rust Developer or Analytics Engineer?+
Analytics Engineer has a lower AI automation risk (35% vs 40%). Based on Oxford Martin School and McKinsey 2023 analysis.