Salaries: MySQL
A tech-specific view of published salary ranges, plus real listings you can open and compare.
Recent jobs (with or without salary)
Open a few listings to see typical stacks, expectations, and seniority.
Senior PHP Developer @Ascend NetSolutions
Senior Backend Software Engineer - Romania, Remote
Full Stack Web Developer
DevOps Engineer
Senior Magento Engineer
Front End Developer (React)
How to read these numbers
Stats use only listings that publish a salary range (min–max). “Average” is estimated as the midpoint (min+max)/2, aggregated across salary listings.
Use the range as an anchor, then open recent listings to verify level, contract type, and scope before you compare offers.
FAQ
What is the average MySQL salary in Romania?
Why does the coverage show 96%?
What currency and period are these salaries?
How do I compare cities for MySQL?
How to use these insights
- Use the distribution to understand typical salary bands (not just averages).
- Compare experience levels and technologies to calibrate negotiations and career moves.
- Use the tools to estimate take-home pay (CIM) or contractor outcomes (PFA/SRL).
Important caveats
- Charts use job listings with explicit salary ranges; not all jobs disclose pay.
- Averages may use midpoints of ranges for aggregation.
- Location, remote policy, and seniority labels come from listings and can vary by company.
Methodology
- Active job listings on IT Jobs List
- Salary ranges provided by employers (when present)
- Job metadata (role, seniority, location, tech stack) used to group and compare results
- Salary figures are displayed in EUR where possible; listings may use different currencies and compensation structures.
- When a listing provides a range, we may use the midpoint for aggregate charts.
- Remote/hybrid/office and employment type are taken from the listing and may differ across teams within the same company.
- Not all jobs publish salary ranges, so some segments may be under-represented.
- Job titles vary between companies; we group them, but edge cases exist.
- Outliers can appear; trends are more reliable than any single datapoint.