Companies using SQL that are hiring now
14,714 companies list SQL as a requirement in 56,751 open roles. Most of those roles are in backend engineering, data science and analytics teams. SQL most often appears next to Python, CI/CD, JavaScript, AWS and Kubernetes. Roles that need it and state the pay sit at $127k a year in the middle.
Companies with the most open SQL roles
25 of 14,714 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
| France | 5000+ | 520 | Data science, Backend engineering, Enterprise applications | $97k | |
| United States | 5000+ | 420 | Backend engineering, Analytics, Engineering leadership | $134k | |
| United States | 1001-5000 | 384 | Analytics, Data science, Early careers | $174k | |
| Russia | 5000+ | 316 | Analytics, Backend engineering, Data science | $36k | |
| Ireland | 5000+ | 302 | Data science, Analytics, AI and machine learning | $133k | |
| Singapore | 1001-5000 | 284 | Analytics, Sales, Operations | — | |
| United States | 5000+ | 233 | Solutions engineering, Backend engineering, Product management | $214k | |
| United States | 5000+ | 230 | Data science, Analytics, Management | $143k | |
| 5000+ | 223 | Data science, Analytics, Backend engineering | $155k | ||
| United States | 5000+ | 198 | Industrial engineering, AI and machine learning, Data science | — | |
| 5000+ | 195 | Data science, Analytics, Finance | $77k | ||
| United States | 5000+ | 189 | Backend engineering, Analytics, Data science | $124k | |
| France | 5000+ | 189 | Backend engineering, Data science, Analytics | $33k | |
| United States | 5000+ | 173 | Backend engineering, Data science, Finance | — | |
| India | 5000+ | 171 | Backend engineering, Data science, Sales | — | |
| 5000+ | 170 | Data science, DevOps and infrastructure, Analytics | $144k | ||
| France | 5000+ | 162 | Backend engineering, Data science, Analytics | $42k | |
| France | 5000+ | 157 | Analytics, Data science, Engineering leadership | $127k | |
| United States | 11-50 | 156 | Data science, Solutions engineering, Analytics | — | |
| United States | 5000+ | 148 | Data science, AI and machine learning, Backend engineering | $128k | |
| Germany | 5000+ | 144 | Early careers, Backend engineering, Data science | — | |
| United States | 5000+ | 139 | Data science, Backend engineering, Analytics | $127k | |
| France | 5000+ | 131 | Data science, Backend engineering, Analytics | — | |
| United States | 5000+ | 125 | Data science, Backend engineering, Enterprise applications | $140k | |
| United States | 5000+ | 122 | Data science, Analytics, Backend engineering | $68k |
Where these companies are headquartered
What these companies also use
Teams hiring for SQL
Get all 14,714 companies as a list
Name, website, size, industry and headquarters of every company that requires SQL, through the API (company.getList with technology=SQL). 14,714 companies × 0.02 credits = 294.28 credits ($29.43).
Questions
How do you know a company uses SQL?
A company counts when at least one of its open job postings lists SQL as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of SQL itself are left out.
Which teams hire for SQL?
Of the 56,751 open roles that require it, most are in backend engineering (10,564), data science (10,334) and analytics (9,120).
What do SQL roles pay?
15,338 of the 56,751 roles state the pay. The middle of their posted ranges is $127k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=SQL returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.
