Companies in the United States using Pandas
401 companies headquartered in the United States list Pandas as a requirement in 836 open roles. Most of those roles are in AI and machine learning, data science and backend engineering teams. Pandas most often appears next to Python, SQL, CI/CD, Machine Learning and AWS. Roles that need it and state the pay sit at $165k a year in the middle.
Companies with the most open Pandas roles
25 of 401 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Citi | 5000+ | 33 | AI and machine learning, Data science, Backend engineering | $157k |
 Capital One | 5000+ | 26 | AI and machine learning | $217k |
 CACI International | 5000+ | 14 | AI and machine learning, Data science, QA and testing | $149k |
 Susquehanna International Group | 1001-5000 | 13 | Data science, Early careers, Backend engineering | — |
 Apple | 5000+ | 11 | AI and machine learning, Data science, DevOps and infrastructure | — |
 UnitedHealth Group | 5000+ | 11 | AI and machine learning, Data science, Analytics | $167k |
 Arka | 501-1000 | 11 | AI and machine learning, Data science, Engineering leadership | — |
 Kyndryl | 5000+ | 10 | Solutions engineering, Backend engineering, Data science | $208k |
 Systems and Technology Research | 1001-5000 | 10 | AI and machine learning, Data science, Science and research | $152k |
 Svitla Systems | 9 | AI and machine learning, Backend engineering | — | |
 Thermo Fisher Scientific | 1001-5000 | 9 | AI and machine learning, Backend engineering, Analytics | — |
 Intuit | 1001-5000 | 9 | AI and machine learning, Finance | $201k |
 Attentive | 51-200 | 8 | AI and machine learning, Backend engineering | $311k |
 L3Harris Technologies | 5000+ | 8 | Early careers, Data science, AI and machine learning | — |
 Fitch Group | 1001-5000 | 8 | Backend engineering, Enterprise applications, Data science | $156k |
 Micron Technology | 5000+ | 7 | AI and machine learning, Data science, Backend engineering | — |
 PandaDoc | 501-1000 | 7 | Product management, Sales | $110k |
 NewRocket | 7 | AI and machine learning, Enterprise applications | — | |
 Tower Research Capital | 501-1000 | 7 | Data science, Backend engineering, Analytics | — |
 Sourceability | 201-500 | 7 | AI and machine learning | — |
 Qualcomm | 5000+ | 6 | AI and machine learning, Data science, Product management | — |
 Booz Allen Hamilton | 5000+ | 6 | AI and machine learning, Data science, Analytics | $144k |
 JPMorganChase | 5000+ | 6 | AI and machine learning, Data science, Engineering leadership | — |
 S&P Global | 5000+ | 6 | Finance, AI and machine learning, Security | $144k |
 University of Arkansas System | 1001-5000 | 6 | Science and research, Early careers | $90k |
Pandas in other countries
What these companies also use
Teams hiring for Pandas
Get all 401 companies as a list
Name, website, size, industry and headquarters of every company that requires Pandas, through the API (company.getList with technology=Pandas and country=US). 401 companies × 0.02 credits = 8.02 credits ($0.80).
Questions
How do you know a company uses Pandas?
A company counts when at least one of its open job postings lists Pandas 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 Pandas itself are left out.
Which teams hire for Pandas?
Of the 836 open roles that require it, most are in AI and machine learning (231), data science (229) and backend engineering (104).
What do Pandas roles pay?
366 of the 836 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=Pandas 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.