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COMPANIES USING

Companies Using PySpark

3,886 companies are actively hiring PySpark talent across 49 countries.

PySpark is the Python interface for Apache Spark, used to process and analyze massive datasets at scale across distributed computing environments. When a company posts PySpark roles, they're signaling active investment in data pipeline infrastructure — typically alongside cloud data platforms, orchestration tools, and storage layers. These companies are likely evaluating or already purchasing solutions like cloud warehouses, data lakehouse platforms, or MLOps tooling.

Buying Signal

A company hiring PySpark engineers is building or scaling a data engineering function — which means budget is flowing toward data infrastructure. They're likely replacing legacy ETL tools, expanding into real-time analytics, or migrating to a cloud-native stack. Vendors selling data integration, pipeline orchestration, cloud storage, or observability tools should be actively prospecting these accounts.

Top Companies49 shown

Top companies hiring PySpark talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
Brisanet Telecomunicações
brisanet.com.br
 Telecommunications Brazil 5,001+ 316
EōS Fitness
eosfitness.com
 Wellness and Fitness Services Dallas, United States 5,001+ 1,262
Co-operators
cooperators.ca
 Financial Services Guelph, Canada 5,001+ 238
BairesDev
bairesdev.com
 IT Services and IT Consulting San Francisco, United States 1,001–5,000 981
FullStack
fullstack.com
 Technology, Information and Internet Brentwood, United States 501–1,000 810
BioSpace
biospace.com
 Internet News West Des Moines, United States 11–50 382
Advance Auto Parts
advanceautoparts.com
 Retail Raleigh, United States 10,001+ 3,491
CVS Health
cvshealth.com
 Hospitals and Health Care Woonsocket, United States 10,001+ 1,931
Sam's Club
samsclub.com
 Retail Bentonville, United States 10,001+ 1,528
Deloitte
deloitte.com
 Business Consulting and Services Sydney, Australia 10,001+ 906
IBM
ibm.com
 IT Services and IT Consulting Armonk, United States 10,001+ 610
T-Mobile
t-mobile.com
 Telecommunications Bellevue, United States 10,001+ 605
Burlington Stores, Inc.
burlington.com
 Retail Bordentown Township, United States 10,001+ 725
Circle K
circlek.com
 Retail Laval (administrative region), Canada 10,001+ 820
EY
ey.com
 Professional Services Greater London, United Kingdom 10,001+ 474
Walmart
bit.ly
 Retail Bentonville, United States 10,001+ 849
Albert Heijn
ah.nl
 Retail Zaandam, Netherlands 10,001+ 418
Citizens
citizensbank.com
 Banking Providence, United States 10,001+ 373
BMO
bmo.com
 Financial Services Toronto, Canada 10,001+ 377
AT&T
att.com
 Telecommunications Dallas, United States 10,001+ 332
Intuit
intuit.com
 Software Development Mountain View, United States 10,001+ 426
KPMG US
kpmg.com
 Financial Services New York, United States 10,001+ 428
Bajaj Finserv
bajajfinserv.in
 Financial Services Pune, India 10,001+ 285
IQVIA
iqvia.com
 Hospitals and Health Care Durham, United States 10,001+ 533
Baxter International Inc.
baxter.com
 Medical Equipment Manufacturing Deerfield, United States 10,001+ 326
DHL Supply Chain
logistics.dhl
 Transportation, Logistics, Supply Chain and Storage Bonn, Germany 10,001+ 349
PwC Deutschland
pwc.de
 Business Consulting and Services Frankfurt, Germany 10,001+ 274
Lam Research
lamresearch.com
 Semiconductor Manufacturing Fremont, United States 10,001+ 593
Comcast
comca.st
 Telecommunications Philadelphia, United States 10,001+ 288
EchoStar Corporation
echostar.com
 Telecommunications Englewood, United States 10,001+ 290
PKO Bank Polski
pkobp.pl
 Banking Warsaw, Poland 10,001+ 314
NYC Health + Hospitals
nychealthandhospitals.org
 Hospitals and Health Care New York, United States 10,001+ 400
McKesson
mckesson.com
 Hospitals and Health Care Irving, United States 10,001+ 247
Exelon
exeloncorp.com
 Utilities Chicago, United States 10,001+ 283
Accenture in India
accenture.com
 IT Services and IT Consulting Bengaluru, India 10,001+ 599
Arrow Electronics
arrow.com
 Technology, Information and Internet Centennial, United States 10,001+ 463
OneMain Financial
onemainfinancial.com
 Financial Services Baltimore, United States 10,001+ 277
Accenture services Pvt Ltd
accenture.com
 Information Technology & Services Chennai, India 10,001+ 231
Humana
humana.com
 Insurance Louisville, United States 10,001+ 330
Tesla
tesla.com
 Motor Vehicle Manufacturing Austin, United States 10,001+ 233
Ericsson
ericsson.com
 Telecommunications Stockholm, Sweden 10,001+ 228
JPMorganChase
jpmorganchase.com
 Financial Services New York, United States 10,001+ 559
Vertiv
vertiv.com
 Appliances, Electrical, and Electronics Manufacturing Columbus, United States 10,001+ 564
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 375
Optum
optum.com
 Hospitals and Health Care Eden Prairie, United States 10,001+ 421
Vattenfall
vattenfall.com
 Utilities Solna, Sweden 10,001+ 253
CIBC
cibc.com
 Banking Toronto, Canada 10,001+ 272
Conduent
conduent.com
 Business Consulting and Services Florham Park, United States 10,001+ 331
Leidos
leidos.com
 Defense and Space Manufacturing Reston, United States 10,001+ 264

3,886 companies use PySpark. Want the full list?

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Market Signal

Nearly 2,800 companies posting over 93,000 PySpark-related roles indicates this isn't a niche skill — it's a mainstream data engineering requirement. That volume suggests a broad, competitive buyer pool actively investing in distributed data infrastructure right now.

Stack Intelligence

PySpark hiring almost always co-occurs with Python, Databricks, and Spark — a combination that points to a Lakehouse architecture or a Spark-native data platform build-out. Companies showing all four signals are likely deep in a Databricks adoption cycle or evaluating it, making them high-fit targets for complementary tools like data quality, governance, or BI platforms. This stack cluster is one of the cleaner buying signals available for data infrastructure sales.

Hiring Landscape

PySpark in the Market

Where and how companies hire PySpark talent

By Country

United States
1,596
India
331
United Kingdom
262
Brazil
231
France
163
Germany
146
Spain
141
Netherlands
113

By Industry

IT Services and IT Consulting
1,450
Software Development
466
Financial Services
314
Business Consulting and Services
254
Information Technology & Services
217
Technology, Information and Internet
159
Insurance
96
Banking
81

Top Roles

Data Engineer1,846Software Engineer1,077Project Manager955Business Analyst924Data Scientist892Product Manager763Data Analyst698Devops Engineer653Ai Engineer568Full Stack Developer483Java Developer480Product Owner455

Related Technologies

PythonDatabricksApache Spark

What is PySpark?

PySpark is the Python API for Apache Spark, powering large-scale distributed data processing and big-data pipelines.

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How this page is built

echoloc compiles technology-adoption signals from public hiring and company data — career pages, public listings, and company web presence — then clusters and de-duplicates them into the summary above. Figures are estimates that refresh over time. Read our full methodology →

This is not an official customer or user list. It is a technology-adoption signal inferred from public data, intended for B2B research.

Frequently Asked Questions

What is PySpark?

PySpark enables data teams to run large-scale data processing jobs using Python, typically on cloud infrastructure. Businesses use it to build data pipelines, train machine learning models, and power analytics at scale. Hiring for PySpark signals a company is past the proof-of-concept stage and actively building production-grade data systems.

Why should sales teams track PySpark hiring?

PySpark hiring is a leading indicator that a company is investing in data infrastructure — often ahead of major platform or tooling purchases. An SDR tracking these signals can time outreach to match when budget decisions are actively being made, not after contracts are signed.

Who should be selling to companies that use PySpark?

Vendors best positioned to sell into PySpark-hiring companies include cloud data platform providers, ETL and pipeline orchestration vendors, data observability and quality tools, and MLOps or model deployment platforms.