Companies in the United States using SQL
3,671 companies headquartered in the United States list SQL as a requirement in 22,216 open roles. Most of those roles are in data science, backend engineering 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 $145k a year in the middle.
Companies with the most open SQL roles
25 of 3,671 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Citi | 5000+ | 420 | Backend engineering, Analytics, Engineering leadership | $134k |
 TikTok | 1001-5000 | 384 | Analytics, Data science, Early careers | $174k |
 Databricks | 5000+ | 233 | Solutions engineering, Backend engineering, Product management | $214k |
 Amazon | 5000+ | 230 | Data science, Analytics, Management | $143k |
 Micron Technology | 5000+ | 198 | Industrial engineering, AI and machine learning, Data science | — |
 State Street | 5000+ | 189 | Backend engineering, Analytics, Data science | $124k |
 JPMorganChase | 5000+ | 173 | Backend engineering, Data science, Finance | — |
 Google | 11-50 | 156 | Data science, Solutions engineering, Analytics | — |
 UnitedHealth Group | 5000+ | 148 | Data science, AI and machine learning, Backend engineering | $128k |
 Booz Allen Hamilton | 5000+ | 139 | Data science, Backend engineering, Analytics | $127k |
 CACI International | 5000+ | 125 | Data science, Backend engineering, Enterprise applications | $140k |
 Amgen | 5000+ | 122 | Data science, Analytics, Backend engineering | $68k |
 The Infatuation | 1001-5000 | 116 | Backend engineering, Data science, Engineering leadership | — |
 Mastercard | 5000+ | 112 | Data science, Backend engineering, Sales | $150k |
 Capital One | 5000+ | 102 | Data science, Analytics, Backend engineering | $192k |
 Snowflake | 5000+ | 93 | Solutions engineering, Backend engineering, Data science | $193k |
 Walmart | 5000+ | 93 | Analytics, Data science, Backend engineering | $147k |
 Intuit | 1001-5000 | 90 | AI and machine learning, Data science, Finance | $222k |
 DoorDash | 5000+ | 89 | Operations, Management, Sales | $8.7k |
 RTX | 5000+ | 88 | Data science, Industrial engineering, Backend engineering | $126k |
 DXC Technology | 5000+ | 85 | Backend engineering, Data science, Enterprise applications | $92k |
 Peraton | 1001-5000 | 85 | Data science, Backend engineering, DevOps and infrastructure | $146k |
 Salesforce | 5000+ | 83 | Solutions engineering, Data science, Backend engineering | $162k |
 Celonis | 1001-5000 | 82 | Solutions engineering, Industrial engineering, AI and machine learning | $173k |
 HP Inc. | 5000+ | 81 | Data science, Analytics, Early careers | $112k |
SQL in other countries
What these companies also use
Teams hiring for SQL
Get all 3,671 companies as a list
Name, website, size, industry and headquarters of every company that requires SQL, through the API (company.getList with technology=SQL and country=US). 3,671 companies × 0.02 credits = 73.42 credits ($7.34).
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 22,216 open roles that require it, most are in data science (3,930), backend engineering (3,735) and analytics (3,069).
What do SQL roles pay?
8,970 of the 22,216 roles state the pay. The middle of their posted ranges is $145k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=SQL and country=US 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.