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.

From the requirements of live job postingsRebuilt 6 Oct 2026
companies hiring
831
open roles need it
3,153
median stated pay
$185k

Companies with the most open Spark roles

25 of 831 · the full list is in the API
CompanySizeOpen rolesTeams hiringMedian stated pay
Databricks5000+258Solutions engineering, Sales, Backend engineering$216k
Capital One5000+141Data science, AI and machine learning, Analytics$211k
TikTok1001-500082AI and machine learning, Data science, Backend engineering—
Citi5000+58Data science, Analytics, Backend engineering$173k
Sigma Computing1001-500047Sales, Backend engineering, Customer success$189k
Genpact5000+40Data science, Analytics, DevOps and infrastructure—
JPMorganChase5000+39Backend engineering, Data science, AI and machine learning—
Mastercard5000+37Data science, AI and machine learning, Backend engineering$150k
UnitedHealth Group5000+35Data science, AI and machine learning, Backend engineering$153k
Inversion51-20034Industrial engineering, Hardware engineering, Backend engineering$165k
Booz Allen Hamilton5000+29Data science, Analytics, AI and machine learning$127k
Affirm201-50029Backend engineering, AI and machine learning, Security$215k
The Infatuation1001-500027Backend engineering, Data science, AI and machine learning—
Amgen5000+26Data science, AI and machine learning, Backend engineering—
CapTech25AI and machine learning, Data science, Analytics$145k
Roku1001-500024AI and machine learning, Data science, Backend engineering$295k
Adobe5000+23AI and machine learning, Backend engineering, Data science$198k
Walmart5000+23Data science, Backend engineering, Management$189k
State Street5000+22Data science, AI and machine learning, Backend engineering$161k
Headway1001-500020Backend engineering, Engineering leadership, Data science$251k
CACI International5000+20AI and machine learning, Data science, Backend engineering$165k
Atlassian5000+19AI and machine learning, Data science, Engineering leadership—
Amazon5000+18Data science, Backend engineering, Industrial engineering$155k
Procter & Gamble5000+18Data science, DevOps and infrastructure, Backend engineering$138k
Tiger Analytics501-100018Data science, AI and machine learning, Solutions engineering—

Spark in other countries

Teams hiring for Spark

Data science1,232
Backend engineering549
AI and machine learning425
Solutions engineering294
Engineering leadership125
Analytics119
DevOps and infrastructure95
Sales54

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.

Source: the requirements of 3,153 live job postings on employers' careers boardsUpdated 6 Oct 2026MethodologyJSONCC BY-SA 4.0