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.

From the requirements of live job postingsRebuilt 13 Oct 2026
companies hiring
516
open roles need it
1,316
median stated pay
$154k

Companies with the most open pySpark roles

25 of 516 · the full list is in the API
CompanySizeOpen rolesTeams hiringMedian stated pay
Citi5000+54Analytics, Data science, AI and machine learning$157k
UnitedHealth Group5000+35Data science, AI and machine learning, Backend engineering$153k
Amgen5000+28Data science, Analytics, Science and research—
Databricks5000+22Solutions engineering, Data science, Finance$260k
Cognizant5000+22Data science, AI and machine learning, Backend engineering$112k
Booz Allen Hamilton5000+21Data science, AI and machine learning, Analytics$127k
JPMorganChase5000+18Data science, Backend engineering, AI and machine learning—
Tiger Analytics501-100017Data science, AI and machine learning, DevOps and infrastructure—
Mastercard5000+14Data science, AI and machine learning, Backend engineering$150k
Brillio501-100014Data science, AI and machine learning—
State Street5000+13Data science, Backend engineering, AI and machine learning$124k
Blend36013Data science, Analytics, AI and machine learning—
EXL5000+13Data science, Analytics, Solutions engineering—
Procter & Gamble5000+12Data science, DevOps and infrastructure, Backend engineering—
Fractal1001-500011Data science, Sales, AI and machine learning$150k
Koantek11-5011Solutions engineering, Data science, DevOps and infrastructure—
Guidehouse1001-500010Data science, AI and machine learning, Analytics$141k
CACI International5000+10AI and machine learning, Data science, Backend engineering$140k
Ecolab1001-500010AI and machine learning, Data science—
Leidos5000+9Data science, Backend engineering, AI and machine learning$151k
Thermo Fisher Scientific1001-50009Data science, Analytics, DevOps and infrastructure—
Samba TV501-10009Data science, Engineering leadership, Industrial engineering$128k
NorthBay Solutions201-5009Data science, Backend engineering—
RTX5000+8Data science, AI and machine learning, Analytics—
YipitData501-10008Analytics, Data science, Engineering leadership$165k

pySpark in other countries

Teams hiring for pySpark

Data science713
Backend engineering132
AI and machine learning125
Analytics100
Solutions engineering52
DevOps and infrastructure42
Engineering leadership41
Industrial engineering25

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.

Source: the requirements of 1,316 live job postings on employers' careers boardsUpdated 13 Oct 2026MethodologyJSONCC BY-SA 4.0