Companies in the United States using Databricks
982 companies headquartered in the United States list Databricks as a requirement in 3,877 open roles. Most of those roles are in data science, AI and machine learning and backend engineering teams. Databricks most often appears next to Python, SQL, CI/CD, AWS and Azure. Roles that need it and state the pay sit at $163k a year in the middle.
Companies with the most open Databricks roles
25 of 982 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 92 | Data science, Analytics, AI and machine learning | $71k | |
| 5000+ | 80 | Solutions engineering, AI and machine learning, Enterprise applications | $184k | |
| 5000+ | 76 | Data science, AI and machine learning, Analytics | $153k | |
| 5000+ | 72 | Backend engineering, Data science, Engineering leadership | — | |
| 5000+ | 68 | Data science, Engineering leadership, AI and machine learning | $161k | |
| 1001-5000 | 55 | Backend engineering, Data science, Analytics | — | |
| 53 | Data science, AI and machine learning, Analytics | $210k | ||
| 5000+ | 49 | Data science, Engineering leadership, Analytics | — | |
| 48 | Data science, AI and machine learning, Analytics | $145k | ||
| 5000+ | 45 | Data science, AI and machine learning, Backend engineering | $186k | |
| 5000+ | 45 | Data science, Backend engineering, Product management | $211k | |
| 5000+ | 39 | Data science, AI and machine learning, Solutions engineering | $142k | |
| 201-500 | 39 | Sales, Backend engineering, Marketing | $200k | |
| 1001-5000 | 35 | Industrial engineering, AI and machine learning, Solutions engineering | $174k | |
| 5000+ | 32 | Data science, Product management, AI and machine learning | $138k | |
| 501-1000 | 31 | AI and machine learning, Sales, Backend engineering | $215k | |
| 5000+ | 30 | AI and machine learning, Data science, Backend engineering | $186k | |
| 1001-5000 | 30 | Solutions engineering, Product management, Sales | $212k | |
| 1001-5000 | 29 | Data science, Finance, Engineering leadership | $131k | |
| 201-500 | 29 | AI and machine learning, Solutions engineering, Engineering leadership | $225k | |
| 5000+ | 28 | Data science, Analytics, Sales | $140k | |
| 501-1000 | 27 | Data science, AI and machine learning, Analytics | — | |
| 5000+ | 26 | Data science, Engineering leadership, Backend engineering | $173k | |
| 5000+ | 25 | Solutions engineering, Data science, DevOps and infrastructure | $103k | |
| 1001-5000 | 23 | Data science, Solutions engineering, Backend engineering | $150k |
Databricks in other countries
What these companies also use
Teams hiring for Databricks
Get all 982 companies as a list
Name, website, size, industry and headquarters of every company that requires Databricks, through the API (company.getList with technology=Databricks and country=US). 982 companies × 0.02 credits = 19.64 credits ($1.96).
Questions
How do you know a company uses Databricks?
A company counts when at least one of its open job postings lists Databricks 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 Databricks itself are left out.
Which teams hire for Databricks?
Of the 3,877 open roles that require it, most are in data science (1,284), AI and machine learning (392) and backend engineering (369).
What do Databricks roles pay?
1,610 of the 3,877 roles state the pay. The middle of their posted ranges is $163k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Databricks 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.
