Companies using Spark that are hiring now
2,379 companies list Spark as a requirement in 6,640 open roles. Most of those roles are in data science, AI and machine learning and backend engineering teams. Spark most often appears next to Python, SQL, CI/CD, AWS and Kubernetes. Roles that need it and state the pay sit at $170k a year in the middle.
Companies with the most open Spark roles
25 of 2,379 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
| United States | 5000+ | 258 | Solutions engineering, Sales, Backend engineering | $216k | |
| United States | 5000+ | 141 | Data science, AI and machine learning, Analytics | $211k | |
| United States | 1001-5000 | 82 | AI and machine learning, Data science, Backend engineering | — | |
| France | 5000+ | 77 | Data science, AI and machine learning, Solutions engineering | $85k | |
| United States | 5000+ | 58 | Data science, Analytics, Backend engineering | $173k | |
| Ireland | 5000+ | 50 | Data science, AI and machine learning, Backend engineering | $123k | |
| China | 1001-5000 | 48 | AI and machine learning, Data science, DevOps and infrastructure | — | |
| France | 5000+ | 48 | Data science, Backend engineering, Engineering leadership | $153k | |
| United States | 1001-5000 | 47 | Sales, Backend engineering, Customer success | $189k | |
| Russia | 5000+ | 42 | Analytics, Data science, AI and machine learning | $38k | |
| United States | 5000+ | 40 | Data science, Analytics, DevOps and infrastructure | — | |
| United States | 5000+ | 39 | Backend engineering, Data science, AI and machine learning | — | |
| United States | 5000+ | 37 | Data science, AI and machine learning, Backend engineering | $150k | |
| United States | 5000+ | 35 | Data science, AI and machine learning, Backend engineering | $153k | |
| United States | 51-200 | 34 | Industrial engineering, Hardware engineering, Backend engineering | $165k | |
| United States | 5000+ | 29 | Data science, Analytics, AI and machine learning | $127k | |
| United States | 201-500 | 29 | Backend engineering, AI and machine learning, Security | $215k | |
| France | 5000+ | 29 | Data science, AI and machine learning | — | |
| France | 5000+ | 29 | Data science, Backend engineering, AI and machine learning | $41k | |
| United States | 1001-5000 | 27 | Backend engineering, Data science, AI and machine learning | — | |
| United States | 5000+ | 26 | Data science, AI and machine learning, Backend engineering | — | |
| United States | 25 | AI and machine learning, Data science, Analytics | $145k | ||
| United States | 1001-5000 | 24 | AI and machine learning, Data science, Backend engineering | $295k | |
| 5000+ | 24 | Data science, AI and machine learning, Backend engineering | — | ||
| 5000+ | 24 | Data science, AI and machine learning, Engineering leadership | — |
Where these companies are headquartered
What these companies also use
Teams hiring for Spark
Get all 2,379 companies as a list
Name, website, size, industry and headquarters of every company that requires Spark, through the API (company.getList with technology=Spark). 2,379 companies × 0.02 credits = 47.58 credits ($4.76).
Questions
How do you know a company uses Spark?
A company counts when at least one of its open job postings lists Spark 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 Spark itself are left out.
Which teams hire for Spark?
Of the 6,640 open roles that require it, most are in data science (3,236), AI and machine learning (868) and backend engineering (845).
What do Spark roles pay?
2,040 of the 6,640 roles state the pay. The middle of their posted ranges is $170k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Spark 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.
