Backend Developer vs Network Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Backend Developer
Build server-side APIs, databases, and business logic.
Network Engineer
Design, implement, and manage computer network infrastructure.
Backend Developer earns more on average — the national median is $1,930/year (1%) higher than a Network Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Backend Developer vs Network Engineer — Salary by City
National median figures in USD across top cities.
| City | Backend Developer | Network Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $194,530 | $195,491 | Backend $961 |
| New York, NY | $167,456 | $165,772 | Backend +$1,684 |
| Seattle, WA | $193,111 | $192,889 | Backend +$222 |
| Austin, TX | $151,541 | $149,704 | Backend +$1,837 |
| Chicago, IL | $146,538 | $145,221 | Backend +$1,317 |
| Boston, MA | $173,670 | $176,955 | Backend $3,285 |
| London, UK | £73,942 | £106,873 | Backend $32,931 |
| Toronto, Canada | CA$126,152 | CA$177,211 | Backend $51,059 |
Frequently Asked Questions
Does a Backend Developer or Network Engineer earn more?+
A Backend Developer earns more on average. The national median salary for a Backend Developer is $135,980/year, compared to $134,050/year for a Network Engineer — a difference of $1,930 (1%).
Which has better career growth — Backend Developer or Network Engineer?+
Backend Developer roles are growing at 22% YoY while Network Engineer demand is growing at 6% YoY. Backend Developer has stronger near-term demand growth.
Can you switch from Backend Developer to Network 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 — Backend Developer or Network Engineer?+
Backend Developer has a lower AI automation risk (45% vs 52%). Based on Oxford Martin School and McKinsey 2023 analysis.