SQL: market
SQL is the most cross-cutting skill on the IT market: the query language for relational data is needed not by one role but by nearly all of them. We track 19 434 open positions listing SQL, 18 137 of them fresh. SQL is rarely the only requirement: it is part of the baseline for analysts, data engineers, backend developers and QA. The bulk of demand comes from Data, Backend and Fullstack roles. SQL most often appears next to Python, Java and Azure. 37% of the postings allow fully remote work. Below is measured SQL demand: trend, countries, seniority and adjacent technologies from public sources.
The SQL market currently has 19,434 open roles, 18,137 of them freshly observed. Median salary $7,092/mo. Observed candidate pool — 3,437.
37% of SQL postings allow fully remote work — data work translates well to remote settings.
⚠ salary known for 1288 of 19434 jobs; remote share from 14905 with a stated format; 18137 counted as fresh observations; trend and hiring difficulty are not shown
Demand and observed supply
| Open demand | 19,434 |
| Observed supply | 3,437 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution
One in ten earns under $3,000, one in ten over $15,000. Half the market falls between $4,728 and $11,158. Sample: 1,288.
The histogram shows compensation ranges in SQL postings; the sample includes only postings with an explicit range.
Demand geography
| country | jobs |
|---|---|
| US | 4,371 |
| PL | 3,703 |
| IN | 1,167 |
| GB | 861 |
| RU | 841 |
| DE | 592 |
| HK | 528 |
| SG | 416 |
| CA | 406 |
| BR | 337 |
The top country for SQL demand is the US (4 371 positions).
⚠ job counts only: salary by country is not published
Used together with
SQL lives in a bundle: Python, Java and Azure appear next to it most often. The query language alone is a rare requirement — what matters is the 'SQL + tool' pair.
Roles that use it
| role | jobs |
|---|---|
| Data | 4,695 |
| Backend | 2,110 |
| Fullstack | 1,417 |
| ML/AI | 1,401 |
| DevOps | 1,004 |
| QA | 711 |
| Analyst | 698 |
| Architect | 599 |
| Product | 540 |
| Analytics Engineer | 523 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Demand by grade
| grade | jobs |
|---|---|
| senior | 6,087 |
| middle | 1,624 |
| lead | 933 |
| junior | 756 |
| principal | 691 |
Senior-and-above is about 76% of 10 091 graded SQL postings; still, SQL remains one of the most accessible entry skills into data.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers
Demand is spread across 6,296 employers. The largest accounts for 2.0%, the top ten for 10.2%; the remaining 89.8% is long tail.
| share | value |
|---|---|
| top-1 | 2.0% |
| top-3 | 4.8% |
| top-10 | 10.2% |
| long tail | 89.8% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Where Zorky sees this market
Observed across 282 sources; the largest accounts for 20.8% — this market does not rest on a single channel.
SQL postings arrive mostly from job boards & aggregators and ATS & career sites.
Recent openings
- Senior ML Engineer · PL
- PM Implementation/Trader, APAC · HK
- IT - SVP (Fintech Company HK$80K) 3-5 months bonus · HK
- Senior IT Manager - Infrastructure (Corporate) · HK
- Senior IT Manager (cloud migration) · HK
- Software Engineer · PT
- QA Automation Engineer · PT
- Développeur Data (Java,Power BI,SQL,GCP,Kafka,Terraform,GitHub),-(h/f) · FR
Adjacent markets
⚠ adjacent markets for comparison are not defined yet
How this is measured
- Vacancy
- an open job that cleared the quality gate and lists at least two technologies
- Observed candidate
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Matchable candidate
- not counted yet
- Window
- jobs open at the moment the snapshot was built
About the data
- Some breakdowns are hidden: their data coverage is not yet sufficient.
- Statistics are shown only where the sample clears a quality gate.
- A missing block does not mean a value of zero.
Breakdowns currently hidden: 7.
Data as of 2026-10-20
Frequently asked questions
Common questions about SQL's place on the market — short answers from the slice.
Which roles need SQL?
Practically everyone working with data: Data, Backend, Fullstack and ML/AI lead the demand. Analysts use SQL daily, data engineers pair it with orchestration and warehouses, backend developers need it for database work, QA — for validating data in tests.
Which dialect should I learn: PostgreSQL, MySQL or something else?
The base syntax transfers; beyond that, follow your segment: PostgreSQL dominates product and startup stacks, MySQL — the web, analytical dialects (BigQuery, Snowflake, ClickHouse) — data platforms. Window functions, CTEs and query optimization matter more than the dialect.
Is SQL alone enough to get hired?
Rarely as the only skill: SQL is asked for in a pair with tools (Python, Java, Azure and AWS). Still, SQL remains the shortest path into data analytics; the slice tracks 19 434 postings listing SQL.
Will natural-language tools replace SQL?
A natural-language prompt can generate SQL, but verifying, optimizing and fixing it still requires a person who understands the data model. The demand in this slice confirms it: SQL stays near the top of requirements.