DevOps 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.
DevOps Engineer
Automate infrastructure, CI/CD pipelines, and cloud deployments.
Analytics Engineer
Build and maintain the data models and pipelines that power business intelligence.
Analytics Engineer earns more on average — the national median is $20,955/year (21%) higher than a DevOps Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
DevOps Engineer vs Analytics Engineer — Salary by City
National median figures in USD across top cities.
| City | DevOps Engineer | Analytics Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $143,393 | $171,525 | DevOps $28,132 |
| New York, NY | $119,390 | $147,203 | DevOps $27,813 |
| Seattle, WA | $138,602 | $173,765 | DevOps $35,163 |
| Austin, TX | $109,601 | $131,230 | DevOps $21,629 |
| Chicago, IL | $106,405 | $125,515 | DevOps $19,110 |
| Boston, MA | $130,457 | $158,382 | DevOps $27,925 |
| London, UK | £75,853 | £93,991 | DevOps $18,138 |
| Toronto, Canada | CA$135,262 | CA$163,067 | DevOps $27,805 |
Frequently Asked Questions
Does a DevOps Engineer or Analytics Engineer earn more?+
A Analytics Engineer earns more on average. The national median salary for a DevOps Engineer is $99,130/year, compared to $120,085/year for a Analytics Engineer — a difference of $20,955 (21%).
Which has better career growth — DevOps Engineer or Analytics Engineer?+
DevOps Engineer roles are growing at 28% YoY while Analytics Engineer demand is growing at 38% YoY. Analytics Engineer has stronger near-term demand growth.
Can you switch from DevOps Engineer 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 — DevOps Engineer or Analytics Engineer?+
Analytics Engineer has a lower AI automation risk (35% vs 38%). Based on Oxford Martin School and McKinsey 2023 analysis.