Companies in the United States using Spark
831 companies headquartered in the United States list Spark as a requirement in 3,153 open roles. Most of those roles are in data science, backend engineering and AI and machine learning teams. Spark most often appears next to Python, SQL, CI/CD, AWS and Kubernetes. Roles that need it and state the pay sit at $185k a year in the middle.
Companies with the most open Spark roles
25 of 831 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 258 | Solutions engineering, Sales, Backend engineering | $216k | |
| 5000+ | 141 | Data science, AI and machine learning, Analytics | $211k | |
| 1001-5000 | 82 | AI and machine learning, Data science, Backend engineering | — | |
| 5000+ | 58 | Data science, Analytics, Backend engineering | $173k | |
| 1001-5000 | 47 | Sales, Backend engineering, Customer success | $189k | |
| 5000+ | 40 | Data science, Analytics, DevOps and infrastructure | — | |
| 5000+ | 39 | Backend engineering, Data science, AI and machine learning | — | |
| 5000+ | 37 | Data science, AI and machine learning, Backend engineering | $150k | |
| 5000+ | 35 | Data science, AI and machine learning, Backend engineering | $153k | |
| 51-200 | 34 | Industrial engineering, Hardware engineering, Backend engineering | $165k | |
| 5000+ | 29 | Data science, Analytics, AI and machine learning | $127k | |
| 201-500 | 29 | Backend engineering, AI and machine learning, Security | $215k | |
| 1001-5000 | 27 | Backend engineering, Data science, AI and machine learning | — | |
| 5000+ | 26 | Data science, AI and machine learning, Backend engineering | — | |
| 25 | AI and machine learning, Data science, Analytics | $145k | ||
| 1001-5000 | 24 | AI and machine learning, Data science, Backend engineering | $295k | |
| 5000+ | 23 | AI and machine learning, Backend engineering, Data science | $198k | |
| 5000+ | 23 | Data science, Backend engineering, Management | $189k | |
| 5000+ | 22 | Data science, AI and machine learning, Backend engineering | $161k | |
| 1001-5000 | 20 | Backend engineering, Engineering leadership, Data science | $251k | |
| 5000+ | 20 | AI and machine learning, Data science, Backend engineering | $165k | |
| 5000+ | 19 | AI and machine learning, Data science, Engineering leadership | — | |
| 5000+ | 18 | Data science, Backend engineering, Industrial engineering | $155k | |
| 5000+ | 18 | Data science, DevOps and infrastructure, Backend engineering | $138k | |
| 501-1000 | 18 | Data science, AI and machine learning, Solutions engineering | — |
Spark in other countries
What these companies also use
Teams hiring for Spark
Get all 831 companies as a list
Name, website, size, industry and headquarters of every company that requires Spark, through the API (company.getList with technology=Spark and country=US). 831 companies × 0.02 credits = 16.62 credits ($1.66).
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 3,153 open roles that require it, most are in data science (1,232), backend engineering (549) and AI and machine learning (425).
What do Spark roles pay?
1,535 of the 3,153 roles state the pay. The middle of their posted ranges is $185k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Spark 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.
