Companies in the United States using pySpark
516 companies headquartered in the United States list pySpark as a requirement in 1,316 open roles. Most of those roles are in data science, backend engineering and AI and machine learning teams. pySpark most often appears next to Spark, Python, SQL, CI/CD and Azure. Roles that need it and state the pay sit at $154k a year in the middle.
Companies with the most open pySpark roles
25 of 516 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 54 | Analytics, Data science, AI and machine learning | $157k | |
| 5000+ | 35 | Data science, AI and machine learning, Backend engineering | $153k | |
| 5000+ | 28 | Data science, Analytics, Science and research | — | |
| 5000+ | 22 | Solutions engineering, Data science, Finance | $260k | |
| 5000+ | 22 | Data science, AI and machine learning, Backend engineering | $112k | |
| 5000+ | 21 | Data science, AI and machine learning, Analytics | $127k | |
| 5000+ | 18 | Data science, Backend engineering, AI and machine learning | — | |
| 501-1000 | 17 | Data science, AI and machine learning, DevOps and infrastructure | — | |
| 5000+ | 14 | Data science, AI and machine learning, Backend engineering | $150k | |
| 501-1000 | 14 | Data science, AI and machine learning | — | |
| 5000+ | 13 | Data science, Backend engineering, AI and machine learning | $124k | |
| 13 | Data science, Analytics, AI and machine learning | — | ||
| 5000+ | 13 | Data science, Analytics, Solutions engineering | — | |
| 5000+ | 12 | Data science, DevOps and infrastructure, Backend engineering | — | |
| 1001-5000 | 11 | Data science, Sales, AI and machine learning | $150k | |
| KKoantek | 11-50 | 11 | Solutions engineering, Data science, DevOps and infrastructure | — |
| 1001-5000 | 10 | Data science, AI and machine learning, Analytics | $141k | |
| 5000+ | 10 | AI and machine learning, Data science, Backend engineering | $140k | |
| 1001-5000 | 10 | AI and machine learning, Data science | — | |
| 5000+ | 9 | Data science, Backend engineering, AI and machine learning | $151k | |
| 1001-5000 | 9 | Data science, Analytics, DevOps and infrastructure | — | |
| 501-1000 | 9 | Data science, Engineering leadership, Industrial engineering | $128k | |
| 201-500 | 9 | Data science, Backend engineering | — | |
| 5000+ | 8 | Data science, AI and machine learning, Analytics | — | |
| 501-1000 | 8 | Analytics, Data science, Engineering leadership | $165k |
pySpark in other countries
What these companies also use
Teams hiring for pySpark
Get all 516 companies as a list
Name, website, size, industry and headquarters of every company that requires pySpark, through the API (company.getList with technology=pySpark and country=US). 516 companies × 0.02 credits = 10.32 credits ($1.03).
Questions
How do you know a company uses pySpark?
A company counts when at least one of its open job postings lists pySpark 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 pySpark itself are left out.
Which teams hire for pySpark?
Of the 1,316 open roles that require it, most are in data science (713), backend engineering (132) and AI and machine learning (125).
What do pySpark roles pay?
466 of the 1,316 roles state the pay. The middle of their posted ranges is $154k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=pySpark 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.
