Companies in the United States using Azure Data Factory
382 companies headquartered in the United States list Azure Data Factory as a requirement in 740 open roles. Most of those roles are in data science, backend engineering and analytics teams. Azure Data Factory most often appears next to SQL, Azure, Python, CI/CD and Power BI. Roles that need it and state the pay sit at $145k a year in the middle.
Companies with the most open Azure Data Factory roles
25 of 382 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Microsoft | 5000+ | 31 | Backend engineering, DevOps and infrastructure, Product management | $152k |
 UnitedHealth Group | 5000+ | 31 | Data science, DevOps and infrastructure, Analytics | $128k |
 Cognizant | 5000+ | 13 | Data science, DevOps and infrastructure, AI and machine learning | $79k |
 UST | 5000+ | 9 | Data science, DevOps and infrastructure, Enterprise applications | — |
 CapTech | 8 | Data science | $145k | |
 Avanade | 1001-5000 | 8 | Data science, Analytics | — |
 DXC Technology | 5000+ | 7 | Data science, AI and machine learning, Solutions engineering | — |
 ICF | 5000+ | 7 | Data science, AI and machine learning, DevOps and infrastructure | $161k |
 Genpact | 5000+ | 7 | Data science, Enterprise applications, Engineering leadership | — |
 McKesson | 5000+ | 7 | Data science, Analytics, Engineering leadership | $123k |
 Hitachi Solutions | 7 | Data science, AI and machine learning, Backend engineering | — | |
 WPP Media | 5000+ | 7 | Sales, AI and machine learning, Data science | — |
 EXL | 5000+ | 7 | Data science, Analytics, Management | — |
 Axiom Bio | 7 | Science and research, AI and machine learning, DevOps and infrastructure | — | |
 NorthBay Solutions | 201-500 | 7 | Data science, Backend engineering | — |
 Procter & Gamble | 5000+ | 6 | Data science | — |
 Tiger Analytics | 1001-5000 | 6 | Data science, AI and machine learning, Solutions engineering | — |
 phData | 11-50 | 6 | Solutions engineering | — |
 CACI International | 5000+ | 6 | Data science, Analytics | $172k |
 Salesforce | 5000+ | 5 | Enterprise applications, Solutions engineering, DevOps and infrastructure | — |
 Snowflake | 5000+ | 5 | Solutions engineering, Technical support | — |
 State Street | 5000+ | 5 | Engineering leadership, Data science | — |
 Stryker | 5000+ | 5 | DevOps and infrastructure, Analytics | — |
 TTEC Digital | 1001-5000 | 5 | Data science, DevOps and infrastructure, Analytics | — |
 Oaktree Capital Management | 1001-5000 | 5 | Operations, Data science, Backend engineering | — |
Azure Data Factory in other countries
What these companies also use
Teams hiring for Azure Data Factory
Get all 382 companies as a list
Name, website, size, industry and headquarters of every company that requires Azure Data Factory, through the API (company.getList with technology=Azure Data Factory and country=US). 382 companies × 0.02 credits = 7.64 credits ($0.76).
Questions
How do you know a company uses Azure Data Factory?
A company counts when at least one of its open job postings lists Azure Data Factory 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 Azure Data Factory itself are left out.
Which teams hire for Azure Data Factory?
Of the 740 open roles that require it, most are in data science (380), backend engineering (56) and analytics (50).
What do Azure Data Factory roles pay?
243 of the 740 roles state the pay. The middle of their posted ranges is $145k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Azure Data Factory 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.