Companies using Databricks that are hiring now
2,755 companies list Databricks as a requirement in 9,039 open roles. Most of those roles are in data science, AI and machine learning and analytics teams. Databricks most often appears next to Python, SQL, CI/CD, AWS and Azure. Roles that need it and state the pay sit at $155k a year in the middle.
Companies with the most open Databricks roles
25 of 2,755 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
 Capgemini | France | 5000+ | 153 | Data science, AI and machine learning, Solutions engineering | $111k |
 Accenture | Ireland | 5000+ | 101 | Data science, AI and machine learning, Solutions engineering | $168k |
 Amgen | United States | 5000+ | 92 | Data science, Analytics, AI and machine learning | $71k |
 Salesforce | United States | 5000+ | 80 | Solutions engineering, AI and machine learning, Enterprise applications | $184k |
 Devoteam | France | 5000+ | 80 | Enterprise applications, Data science, DevOps and infrastructure | — |
 UnitedHealth Group | United States | 5000+ | 76 | Data science, AI and machine learning, Analytics | $153k |
 JPMorganChase | United States | 5000+ | 72 | Backend engineering, Data science, Engineering leadership | — |
 PricewaterhouseCoopers | 5000+ | 69 | Data science, AI and machine learning, Solutions engineering | $55k | |
 State Street | United States | 5000+ | 68 | Data science, Engineering leadership, AI and machine learning | $161k |
 Publicis Groupe | France | 5000+ | 64 | Data science, Backend engineering, Analytics | $150k |
 Ernst & Young | 5000+ | 60 | Data science, AI and machine learning, Backend engineering | $180k | |
 The Infatuation | United States | 1001-5000 | 55 | Backend engineering, Data science, Analytics | — |
 Blend360 | United States | 53 | Data science, AI and machine learning, Analytics | $210k | |
 Genpact | United States | 5000+ | 49 | Data science, Engineering leadership, Analytics | — |
 CapTech | United States | 48 | Data science, AI and machine learning, Analytics | $145k | |
 Sopra Steria | France | 5000+ | 46 | Data science, Analytics, AI and machine learning | $41k |
 Mastercard | United States | 5000+ | 45 | Data science, AI and machine learning, Backend engineering | $186k |
 Capital One | United States | 5000+ | 45 | Data science, Backend engineering, Product management | $211k |
 Booz Allen Hamilton | United States | 5000+ | 39 | Data science, AI and machine learning, Solutions engineering | $142k |
 CI&T | Brazil | 5000+ | 39 | Data science, Sales, AI and machine learning | — |
 Cogent Security | United States | 201-500 | 39 | Sales, Backend engineering, Marketing | $200k |
 SAP | Germany | 1001-5000 | 37 | Data science, Enterprise applications, AI and machine learning | $246k |
 TD Bank Group | Canada | 1001-5000 | 37 | Data science, Analytics, DevOps and infrastructure | $91k |
 Celonis | United States | 1001-5000 | 35 | Industrial engineering, AI and machine learning, Solutions engineering | $174k |
 Procter & Gamble | United States | 5000+ | 32 | Data science, Product management, AI and machine learning | $138k |
Where these companies are headquartered
What these companies also use
Teams hiring for Databricks
Get all 2,755 companies as a list
Name, website, size, industry and headquarters of every company that requires Databricks, through the API (company.getList with technology=Databricks). 2,755 companies × 0.02 credits = 55.1 credits ($5.51).
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 9,039 open roles that require it, most are in data science (3,524), AI and machine learning (954) and analytics (824).
What do Databricks roles pay?
2,546 of the 9,039 roles state the pay. The middle of their posted ranges is $155k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Databricks 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.