Companies using Pandas that are hiring now
1,058 companies list Pandas as a requirement in 1,807 open roles. Most of those roles are in data science, AI and machine learning 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 $150k a year in the middle.
Companies with the most open Pandas roles
25 of 1,058 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
 Citi | United States | 5000+ | 26 | AI and machine learning, Data science, Backend engineering | $157k |
 Capital One | United States | 5000+ | 23 | AI and machine learning | $224k |
 Sber | Russia | 5000+ | 19 | Analytics, AI and machine learning, Backend engineering | — |
 Capgemini | France | 5000+ | 18 | AI and machine learning, Data science, Backend engineering | — |
 Accenture | Ireland | 5000+ | 15 | Data science, Analytics, Early careers | — |
 Airbus | France | 5000+ | 13 | Backend engineering, Industrial engineering, AI and machine learning | — |
 CACI International | United States | 5000+ | 13 | AI and machine learning, Data science, Analytics | $146k |
 Bosch | Germany | 5000+ | 12 | Hardware engineering, Data science, Backend engineering | — |
 Ernst & Young | 5000+ | 12 | AI and machine learning, Enterprise applications, Backend engineering | — | |
 Susquehanna International Group | United States | 1001-5000 | 12 | Data science, Early careers, Backend engineering | — |
 Devoteam | France | 5000+ | 12 | Data science, AI and machine learning, Analytics | — |
 Arka | 501-1000 | 11 | AI and machine learning, Data science, Engineering leadership | — | |
 Kyndryl | United States | 5000+ | 10 | Solutions engineering, Backend engineering, Data science | $208k |
 Systems and Technology Research | United States | 1001-5000 | 10 | AI and machine learning, Data science, Science and research | $152k |
 Svitla Systems | United States | 9 | AI and machine learning, Backend engineering | — | |
 Thermo Fisher Scientific | United States | 1001-5000 | 9 | AI and machine learning, Backend engineering, Analytics | — |
 Alibaba Group | China | 1001-5000 | 8 | Analytics, AI and machine learning, Backend engineering | — |
 NewRocket | United States | 8 | AI and machine learning, Enterprise applications | — | |
 Attentive | United States | 51-200 | 8 | AI and machine learning, Backend engineering | $311k |
 UnitedHealth Group | United States | 5000+ | 8 | AI and machine learning, Data science, Engineering leadership | — |
 Sourceability | United States | 201-500 | 8 | AI and machine learning | — |
 PhysicsX | United Kingdom | 201-500 | 7 | AI and machine learning, Data science, Industrial engineering | — |
 PandaDoc | United States | 501-1000 | 7 | Product management, Sales | $110k |
 Tower Research Capital | United States | 501-1000 | 7 | Data science, Backend engineering, Analytics | — |
 L3Harris Technologies | United States | 5000+ | 7 | Early careers, Data science, AI and machine learning | — |
Where these companies are headquartered
What these companies also use
Teams hiring for Pandas
Get all 1,058 companies as a list
Name, website, size, industry and headquarters of every company that requires Pandas, through the API (company.getList with technology=Pandas). 1,058 companies × 0.02 credits = 21.16 credits ($2.12).
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 1,807 open roles that require it, most are in data science (559), AI and machine learning (475) and backend engineering (215).
What do Pandas roles pay?
467 of the 1,807 roles state the pay. The middle of their posted ranges is $150k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Pandas 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.