Companies in Canada using SQL
267 companies headquartered in Canada list SQL as a requirement in 1,393 open roles. Most of those roles are in analytics, backend engineering and data science teams. SQL most often appears next to Python, CI/CD, JavaScript, AWS and Kubernetes. Roles that need it and state the pay sit at $83k a year in the middle.
Companies with the most open SQL roles
25 of 267 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 99 | Analytics, Data science, Backend engineering | — | |
| 1001-5000 | 98 | Backend engineering, HR and recruiting, Data science | $100k | |
| 1001-5000 | 68 | Data science, Analytics, AI and machine learning | $129k | |
| 5000+ | 44 | Backend engineering, Data science, Analytics | $168k | |
| 5000+ | 38 | Data science, Finance, AI and machine learning | $77k | |
| 1001-5000 | 35 | Data science, Backend engineering, Analytics | — | |
| 5000+ | 32 | Backend engineering, Technical support, Customer success | $63k | |
| 1001-5000 | 32 | Analytics, Backend engineering, Finance | $121k | |
| 5000+ | 31 | Technical support, Backend engineering, DevOps and infrastructure | $76k | |
| 1001-5000 | 30 | Backend engineering, Technical support, AI and machine learning | — | |
| 1001-5000 | 25 | Backend engineering, Technical support, QA and testing | — | |
| 1001-5000 | 22 | Analytics, Backend engineering, Operations | — | |
| 5000+ | 19 | Data science, Analytics, Backend engineering | $107k | |
| 1001-5000 | 16 | Analytics, Data science, Backend engineering | $90k | |
| 501-1000 | 15 | Finance, Early careers, Analytics | — | |
| 1001-5000 | 15 | Analytics, Industrial engineering, Early careers | — | |
| 501-1000 | 14 | Backend engineering, Analytics, Data science | — | |
| 1001-5000 | 13 | Product management, Finance, Analytics | $93k | |
| 501-1000 | 13 | Finance, Data science, Backend engineering | $77k | |
| 1001-5000 | 13 | Data science, Engineering leadership, Field and service | — | |
| 201-500 | 12 | Early careers, Sales, Data science | $46k | |
| 1001-5000 | 12 | Analytics, Finance, QA and testing | $57k | |
| 1001-5000 | 11 | Analytics, Industrial engineering, Product management | $70k | |
| 11 | Solutions engineering, DevOps and infrastructure, AI and machine learning | $145k | ||
| 201-500 | 11 | Backend engineering, Data science, AI and machine learning | — |
SQL in other countries
What these companies also use
Teams hiring for SQL
Get all 267 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=CA). 267 companies × 0.02 credits = 5.34 credits ($0.53).
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 1,393 open roles that require it, most are in analytics (275), backend engineering (225) and data science (200).
What do SQL roles pay?
385 of the 1,393 roles state the pay. The middle of their posted ranges is $83k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=SQL and country=CA 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.
