Companies using Hadoop that are hiring now
779 companies list Hadoop as a requirement in 2,525 open roles. Most of those roles are in data science, backend engineering and AI and machine learning teams. Hadoop most often appears next to Python, SQL, CI/CD, Spark and AWS. Roles that need it and state the pay sit at $144k a year in the middle.
Companies with the most open Hadoop roles
25 of 779 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
| United States | 1001-5000 | 626 | Industrial engineering, Product management, Sales | $130k | |
| United States | 1001-5000 | 60 | Data science, AI and machine learning, Backend engineering | — | |
| Russia | 5000+ | 58 | Analytics, Data science, AI and machine learning | $37k | |
| United States | 5000+ | 47 | Solutions engineering, Backend engineering, Data science | $214k | |
| China | 1001-5000 | 46 | AI and machine learning, Data science, DevOps and infrastructure | — | |
| United States | 5000+ | 42 | Data science, Analytics, Engineering leadership | $142k | |
| United States | 1001-5000 | 32 | AI and machine learning, DevOps and infrastructure, Backend engineering | $190k | |
| United States | 5000+ | 26 | Data science, Sales, AI and machine learning | $150k | |
| France | 5000+ | 21 | Data science, AI and machine learning, Backend engineering | $52k | |
| China | 1001-5000 | 16 | AI and machine learning, Data science, Product management | — | |
| France | 5000+ | 16 | Data science, AI and machine learning | — | |
| China | 5000+ | 14 | AI and machine learning, Data science, Backend engineering | — | |
| Singapore | 1001-5000 | 14 | Data science, Analytics, AI and machine learning | — | |
| United States | 501-1000 | 14 | Backend engineering, Solutions engineering, DevOps and infrastructure | $133k | |
| South Korea | 1001-5000 | 14 | Data science, AI and machine learning, DevOps and infrastructure | — | |
| United States | 51-200 | 14 | Solutions engineering, Data science | — | |
| Russia | 13 | Data science, Analytics, AI and machine learning | — | ||
| United States | 5000+ | 13 | Data science, Industrial engineering, Security | $127k | |
| United States | 5000+ | 13 | Data science, Backend engineering, Analytics | $140k | |
| United States | 1001-5000 | 12 | AI and machine learning, Early careers, Management | $212k | |
| Singapore | 1001-5000 | 12 | Analytics, Engineering leadership, AI and machine learning | — | |
| United States | 1001-5000 | 12 | Backend engineering, DevOps and infrastructure | — | |
| United States | 5000+ | 11 | Solutions engineering, Data science, Backend engineering | $169k | |
| United States | 5000+ | 10 | Data science, AI and machine learning, Backend engineering | $175k | |
| Singapore | 1001-5000 | 10 | Analytics, Data science, Backend engineering | — |
Where these companies are headquartered
What these companies also use
Teams hiring for Hadoop
Get all 779 companies as a list
Name, website, size, industry and headquarters of every company that requires Hadoop, through the API (company.getList with technology=Hadoop). 779 companies × 0.02 credits = 15.58 credits ($1.56).
Questions
How do you know a company uses Hadoop?
A company counts when at least one of its open job postings lists Hadoop 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 Hadoop itself are left out.
Which teams hire for Hadoop?
Of the 2,525 open roles that require it, most are in data science (836), backend engineering (255) and AI and machine learning (212).
What do Hadoop roles pay?
713 of the 2,525 roles state the pay. The middle of their posted ranges is $144k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Hadoop 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.
