Salary is an honest, concrete reason to think about a career change. So let’s not be vague about it — let’s look at real benchmarks for two in-demand tracks: DevOps and data analysis.
What a DevOps engineer earns
DevOps consistently ranks among the highest-paid IT tracks. Indicative monthly ranges:
The reason for the high rates is simple: a DevOps engineer carries the stability and scaling of systems, and strong specialists are scarce on the market.
What a data analyst earns
Analytics is a more accessible entry point, and the start is usually lower than DevOps — but the growth curve is good:
- Junior analyst — entry positions where you build practical experience.
- Middle — with solid SQL, Python, and Power BI, pay grows to several thousand dollars.
- Senior / BI specialist — high value to a business that makes decisions on data.
What drives the numbers
- Skill level — a real portfolio beats a certificate.
- Work format — remote work for international companies usually pays above the local market.
- Specialization — cloud, security, and rare stacks command more.
A high salary follows an in-demand skill — and the skill starts with a foundation.
How to reach the starting line
For DevOps that foundation is the DevOps & Cloud course (Linux, Docker, CI/CD, AWS); for analytics, Data Analysis and Power BI. All courses are in person, in small groups, from scratch.