Companies in the United States using Oracle
618 companies headquartered in the United States list Oracle as a requirement in 2,074 open roles. Most of those roles are in backend engineering, data science and DevOps and infrastructure teams. Oracle most often appears next to SQL, Python, CI/CD, JavaScript and Azure. Roles that need it and state the pay sit at $135k a year in the middle.
Companies with the most open Oracle roles
25 of 618 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 145 | Backend engineering, Engineering leadership, Analytics | $134k | |
| 5000+ | 63 | Data science, Engineering leadership, Operations | — | |
| 5000+ | 45 | Data science, Backend engineering, Finance | $140k | |
| 5000+ | 28 | Data science, DevOps and infrastructure, Backend engineering | $68k | |
| 5000+ | 28 | Data science, Backend engineering, DevOps and infrastructure | $184k | |
| 1001-5000 | 28 | Technical support, QA and testing, Data science | — | |
| 51-200 | 28 | Industrial engineering, DevOps and infrastructure | $101k | |
| 5000+ | 26 | Analytics, Data science, Industrial engineering | $160k | |
| 5000+ | 26 | Backend engineering, Analytics, Engineering leadership | $157k | |
| 5000+ | 22 | Backend engineering, Data science, DevOps and infrastructure | — | |
| 1001-5000 | 22 | Engineering leadership, Backend engineering, Data science | $192k | |
| 501-1000 | 21 | Backend engineering, Industrial engineering, DevOps and infrastructure | $135k | |
| 5000+ | 21 | Data science, DevOps and infrastructure, Enterprise applications | $152k | |
| 5000+ | 19 | Backend engineering, DevOps and infrastructure, Data science | $186k | |
| 1001-5000 | 19 | Backend engineering, Industrial engineering, Hardware engineering | $59k | |
| 1001-5000 | 17 | DevOps and infrastructure, Data science, Backend engineering | $135k | |
| 1001-5000 | 17 | Analytics, Backend engineering, Field and service | — | |
| 17 | Data science, Analytics | $145k | ||
| 501-1000 | 17 | Science and research, Enterprise applications | $146k | |
| 5000+ | 16 | AI and machine learning, Data science, DevOps and infrastructure | $142k | |
| 5000+ | 15 | Data science, DevOps and infrastructure, Enterprise applications | — | |
| 1001-5000 | 15 | Backend engineering, Data science, DevOps and infrastructure | — | |
| 5000+ | 13 | Operations, Finance, Backend engineering | — | |
| 5000+ | 13 | Backend engineering, Data science, Engineering leadership | — | |
| 1001-5000 | 12 | Backend engineering, Data science, QA and testing | — |
Oracle in other countries
What these companies also use
Teams hiring for Oracle
Get all 618 companies as a list
Name, website, size, industry and headquarters of every company that requires Oracle, through the API (company.getList with technology=Oracle and country=US). 618 companies × 0.02 credits = 12.36 credits ($1.24).
Questions
How do you know a company uses Oracle?
A company counts when at least one of its open job postings lists Oracle 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 Oracle itself are left out.
Which teams hire for Oracle?
Of the 2,074 open roles that require it, most are in backend engineering (449), data science (411) and DevOps and infrastructure (193).
What do Oracle roles pay?
757 of the 2,074 roles state the pay. The middle of their posted ranges is $135k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Oracle 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.
