Companies in the United States using Python
4,323 companies headquartered in the United States list Python as a requirement in 42,877 open roles. Most of those roles are in backend engineering, AI and machine learning and data science teams. Python most often appears next to CI/CD, SQL, AWS, JavaScript and Kubernetes. Roles that need it and state the pay sit at $165k a year in the middle.
Companies with the most open Python roles
25 of 4,323 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 NVIDIA | 5000+ | 833 | Hardware engineering, DevOps and infrastructure, AI and machine learning | $216k |
 TikTok | 1001-5000 | 767 | AI and machine learning, Backend engineering, Data science | $190k |
 Qualcomm | 5000+ | 648 | Hardware engineering, Industrial engineering, Backend engineering | $177k |
 Google | 11-50 | 570 | Backend engineering, Solutions engineering, AI and machine learning | — |
 Micron Technology | 5000+ | 531 | Industrial engineering, Hardware engineering, Early careers | $125k |
 RTX | 5000+ | 486 | Hardware engineering, Backend engineering, Industrial engineering | $126k |
 Booz Allen Hamilton | 5000+ | 417 | Data science, AI and machine learning, Backend engineering | $127k |
 Anduril Industries | 1001-5000 | 393 | Backend engineering, Industrial engineering, Hardware engineering | $193k |
 Capital One | 5000+ | 391 | Backend engineering, Data science, AI and machine learning | $211k |
 Citi | 5000+ | 372 | Backend engineering, Analytics, AI and machine learning | $142k |
 JPMorganChase | 5000+ | 366 | Backend engineering, DevOps and infrastructure, AI and machine learning | — |
 Databricks | 5000+ | 342 | Solutions engineering, Backend engineering, Product management | $216k |
 Northrop Grumman | 5000+ | 332 | Backend engineering, Hardware engineering, Industrial engineering | $136k |
 Cisco Systems | 5000+ | 311 | Backend engineering, Hardware engineering, DevOps and infrastructure | $225k |
 SpaceX | 5000+ | 306 | Industrial engineering, Hardware engineering, Security | $145k |
 Amazon | 5000+ | 299 | Backend engineering, DevOps and infrastructure, Data science | $169k |
 CACI International | 5000+ | 273 | DevOps and infrastructure, AI and machine learning, Backend engineering | $140k |
 Hewlett Packard Enterprise | 5000+ | 265 | Backend engineering, DevOps and infrastructure, QA and testing | $197k |
 Leidos | 5000+ | 262 | Backend engineering, DevOps and infrastructure, Data science | $151k |
 The Infatuation | 1001-5000 | 236 | Backend engineering, Data science, DevOps and infrastructure | — |
 Microsoft | 5000+ | 224 | Backend engineering, Solutions engineering, Engineering leadership | $177k |
 Peraton | 1001-5000 | 212 | Backend engineering, DevOps and infrastructure, AI and machine learning | $146k |
 OpenAI | 1001-5000 | 211 | AI and machine learning, Backend engineering, Data science | $313k |
 UnitedHealth Group | 5000+ | 208 | AI and machine learning, Data science, Backend engineering | $153k |
 Blue Origin | 5000+ | 192 | Industrial engineering, Backend engineering, Hardware engineering | $174k |
Python in other countries
What these companies also use
Teams hiring for Python
Get all 4,323 companies as a list
Name, website, size, industry and headquarters of every company that requires Python, through the API (company.getList with technology=Python and country=US). 4,323 companies × 0.02 credits = 86.46 credits ($8.65).
Questions
How do you know a company uses Python?
A company counts when at least one of its open job postings lists Python 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 Python itself are left out.
Which teams hire for Python?
Of the 42,877 open roles that require it, most are in backend engineering (8,565), AI and machine learning (5,465) and data science (4,229).
What do Python roles pay?
19,657 of the 42,877 roles state the pay. The middle of their posted ranges is $165k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Python 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.