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COMPANIES USING

Companies Using Pandas

3,590 companies are actively hiring Pandas talent across 49 countries.

Pandas is a Python data manipulation library that sits at the core of most enterprise data pipelines, analytics workflows, and machine learning preprocessing work. When a company posts Pandas roles, they are actively building or scaling structured data infrastructure — not just experimenting. These companies are in the market for cloud data warehouses, ETL tooling, data observability platforms, and ML infrastructure.

Buying Signal

A company hiring Pandas engineers is likely mid-build on a data platform — they need tooling around data quality, pipeline orchestration, and model deployment. If they are also hiring Data Scientists and Data Engineers simultaneously, they are probably evaluating vendors like dbt, Snowflake, or MLflow. Sales reps at data infrastructure, BI, and analytics vendors should treat these job posts as warm pipeline indicators.

Top Companies50 shown

Top companies hiring Pandas talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
Grant Thornton (US)
gt-us.co
 Professional Services Chicago, United States 5,001+ 329
Stripe
stripe.com
 Technology, Information and Internet South San Francisco, United States 5,001+ 187
Snowflake
snowflake.com
 Software Development Staffordshire Moorlands, United Kingdom 5,001+ 321
BairesDev
bairesdev.com
 IT Services and IT Consulting San Francisco, United States 1,001–5,000 981
Scientific Research Corporation
scires.com
 Engineering Services Atlanta, United States 1,001–5,000 351
OpenAI
openai.com
 Research Services San Francisco, United States 1,001–5,000 176
Waymo
waymo.com
 Technology, Information and Internet Mountain View, United States 1,001–5,000 497
Chainlink Labs
chain.link
 Technology, Information and Internet 501–1,000 187
YO IT Consulting
yoitconsulting.com
 Software Development Abu Dhabi, United Arab Emirates 51–200 264
hackajob
hackajob.com
 Software Development Greater London, United Kingdom 51–200 222
TestHiring
testhiring.com
 IT Services and IT Consulting Surat, India 171
Cinemark
cinemark.com
 Entertainment Providers Plano, United States 10,001+ 830
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
Amazon
aboutamazon.com
 Software Development Seattle, United States 10,001+ 843
Dirk Rossmann GmbH
rossmann.de
 Retail Burgwedel, Germany 10,001+ 466
UPS
ups.com
 Truck Transportation Atlanta, United States 10,001+ 972
EY
ey.com
 Professional Services Greater London, United Kingdom 10,001+ 474
Walmart
bit.ly
 Retail Bentonville, United States 10,001+ 849
Intuit
intuit.com
 Software Development Mountain View, United States 10,001+ 426
Bajaj Finserv
bajajfinserv.in
 Financial Services Pune, India 10,001+ 285
Lam Research
lamresearch.com
 Semiconductor Manufacturing Fremont, United States 10,001+ 593
Comcast
comca.st
 Telecommunications Philadelphia, United States 10,001+ 288
PKO Bank Polski
pkobp.pl
 Banking Warsaw, Poland 10,001+ 314
BNP Paribas
bnpp.lk
 Banking Paris, France 10,001+ 540
McKesson
mckesson.com
 Hospitals and Health Care Irving, United States 10,001+ 247
Accenture in India
accenture.com
 IT Services and IT Consulting Bengaluru, India 10,001+ 599
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
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 375
Ecolab
ecolab.com
 Chemical Manufacturing Saint Paul, United States 10,001+ 212
CIBC
cibc.com
 Banking Toronto, Canada 10,001+ 272
TELUS Digital
telusdigital.com
 IT Services and IT Consulting Vancouver, Canada 10,001+ 208
Leidos
leidos.com
 Defense and Space Manufacturing Reston, United States 10,001+ 264
Oracle
oracle.com
 IT Services and IT Consulting Austin, United States 10,001+ 274
Sodimac
falabella.com
 Retail Lima, Peru 10,001+ 239
AXA XL
axaxl.com
 Insurance City of Hamilton, Bermuda 10,001+ 314
Arcadis
arcadis.com
 Professional Services Amsterdam, Netherlands 10,001+ 568
Roche
roche.com
 Biotechnology Research Switzerland 10,001+ 473
GE HealthCare
gehealthcare.com
 Hospitals and Health Care Chicago, United States 10,001+ 186
Atlassian
atlassian.com
 Software Development Sydney, Australia 10,001+ 193
Takeda
takeda.com
 Pharmaceutical Manufacturing Japan 10,001+ 374
PepsiCo
pepsico.com
 Food and Beverage Services Town/Village of Harrison, United States 10,001+ 408
Sanofi
sanofi.com
 Pharmaceutical Manufacturing Paris, France 10,001+ 236
NatWest Group
natwestgroup.com
 Banking City of Edinburgh, United Kingdom 10,001+ 180
Lennox
lennox.com
 Manufacturing Richardson, United States 10,001+ 284
First American
firstam.com
 Financial Services Santa Ana, United States 10,001+ 274
Cushman & Wakefield
cushmanwakefield.com
 Real Estate Chicago, United States 10,001+ 364

3,590 companies use Pandas. Want the full list?

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Market Signal

Nearly 92,000 open roles across 2,817 companies signals that Pandas is not a niche skill — it is table stakes for data teams globally. This volume suggests sustained, organization-wide investment in data capability, not one-off projects.

Stack Intelligence

Pandas almost never appears alone — companies hiring for it consistently pair it with Python, NumPy, and scikit-learn, which points to teams building end-to-end ML pipelines rather than just running ad hoc analysis. This stack combination signals a company that has moved past spreadsheets and is ready to buy production-grade tooling. Vendors selling MLOps, feature stores, or data labeling platforms should prioritize these accounts.

Hiring Landscape

Pandas in the Market

Where and how companies hire Pandas talent

By Country

United States
1,434
India
347
Brazil
233
United Kingdom
221
China
188
Germany
184
France
148
Spain
101

By Industry

IT Services and IT Consulting
970
Software Development
546
Financial Services
333
Technology, Information and Internet
228
Business Consulting and Services
196
Information Technology & Services
152
Insurance
67
Advertising Services
60

Top Roles

Data Engineer1,135Software Engineer1,062Data Scientist904Project Manager833Product Manager818Business Analyst658Data Analyst640Devops Engineer559Ai Engineer534Full Stack Developer428Account Manager371Java Developer368

Related Technologies

PythonNumPyscikit-learn

What is Pandas?

Pandas is the standard Python library for tabular data manipulation and analysis, used in virtually every data science and analytics workflow.

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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 Pandas?

Pandas is the dominant tool data teams use to clean, transform, and analyze structured data before it feeds into reports or machine learning models. Functionally, it sits between raw data ingestion and downstream analytics or AI. Hiring for it signals a company is operationalizing its data practice.

Why should sales teams track Pandas hiring?

Pandas hiring predicts spend on adjacent data infrastructure — warehouses, orchestration tools, and monitoring platforms. A company posting 10+ Pandas roles in a quarter is scaling fast enough to evaluate new vendors. That timing is exactly when outreach converts.

Who should be selling to companies that use Pandas?

Vendors best positioned to sell into Pandas-hiring companies include cloud data warehouse providers, ETL and pipeline orchestration tools, ML platform vendors, and data quality or observability startups.