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COMPANIES USING

Companies Using Pandas

7,677 companies are actively hiring Pandas talent across 115 countries.

Pandas is the Python library teams use to load, clean, join and reshape tabular data before it feeds dashboards, models or downstream pipelines. A company hiring for it is running analytical work in code rather than only in BI tools: building ETL scripts, feature pipelines or reporting jobs in notebooks. That usually means it also needs a warehouse or lakehouse to pull from, an orchestration layer to schedule the jobs, and compute that scales once DataFrames outgrow a single machine.

Buying Signal

Pandas hiring shows a company writing its own data transformation logic, which often hits memory limits, brittle notebook-to-production handoffs and weak data quality checks. Those pain points create openings for distributed compute, orchestration, data observability and managed notebook platforms. A Databricks or Snowflake AE, for example, should prospect these accounts with a pitch on moving single-node Pandas workloads onto governed, scalable compute.

Top Companies49 shown

Top companies hiring Pandas talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
Franklin Templeton
franklinresources.com
 Financial Services San Mateo, United States 5,001+ 218
Stripe
stripe.com
 Technology, Information and Internet South San Francisco, United States 5,001+ 316
SoftwareOne
softwareone.com
 IT Services and IT Consulting Stans, Switzerland 5,001+ 246
Grant Thornton (US)
grantthornton.com
 Professional Services Chicago, United States 5,001+ 436
RELX
relx.com
 Technology, Information and Media Greater London, United Kingdom 1,001–5,000 445
Swift
swift.com.br
 Retail São Paulo, Brazil 1,001–5,000 160
Qcells North America
qcells.com
 Renewable Energy Semiconductor Manufacturing Irvine, United States 501–1,000 234
Applaudo
applaudo.com
 IT Services and IT Consulting El Salvador 501–1,000 172
Bright Vision Technologies
bvteck.com
 IT System Custom Software Development Bridgewater Township, United States 51–200 203
BioSpace
biospace.com
 Internet News West Des Moines, United States 11–50 430
JSM Consulting Inc.
jsmconsultant.com
 IT Services and IT Consulting Cranbury Township, United States 11–50 209
Dex
meetdex.ai
 Technology, Information and Internet Greater London, United Kingdom 11–50 220
L'Usine Nouvelle
usinenouvelle.com
 Newspaper Publishing Gentilly, France 11–50 308
Burjline Builders
burjlinebuilders.com
 Construction United Arab Emirates 2–10 323
CVS Health
cvshealth.com
 Hospitals and Health Care Woonsocket, United States 10,001+ 1,856
AT&T
att.com
 Telecommunications Dallas, United States 10,001+ 326
Accenture in India
accenture.com
 IT Services and IT Consulting Bengaluru, India 10,001+ 374
State of Oklahoma
ok.gov
 Government Administration Oklahoma City, United States 10,001+ 251
Humana
humana.com
 Insurance Louisville, United States 10,001+ 478
IBM
ibm.com
 IT Services and IT Consulting Armonk, United States 10,001+ 440
Best Buy
bestbuy.com
 Retail Richfield, United States 10,001+ 359
Liberty Mutual Insurance
libertymutualgroup.com
 Insurance Boston, United States 10,001+ 410
Equinox
equinox.com
 Wellness and Fitness Services New York, United States 10,001+ 196
Meijer
meijer.com
 Retail Grand Rapids, United States 10,001+ 389
TikTok
tiktok.com
 Entertainment Providers Los Angeles, United States 10,001+ 436
NetApp
netapp.com
 Software Development San Jose, United States 10,001+ 260
Pandora
pandoragroup.com
 Retail Luxury Goods and Jewelry Copenhagen, Denmark 10,001+ 369
Sanofi
sanofi.com
 Pharmaceutical Manufacturing Paris, France 10,001+ 288
CIBC
cibc.com
 Banking Toronto, Canada 10,001+ 347
Santander Brasil
santander.com.br
 Banking Brazil 10,001+ 314
Thermo Fisher Scientific
thermofisher.com
 Biotechnology Research Waltham, United States 10,001+ 356
Caterpillar Inc.
caterpillar.com
 Machinery Manufacturing Irving, United States 10,001+ 258
Walmart
walmart.com
 Retail Bentonville, United States 10,001+ 781
Standard Chartered India
sc.com
 Banking 10,001+ 235
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 404
Citizens
citizensbank.com
 Banking Providence, United States 10,001+ 377
Loblaw Companies Limited
loblaw.ca
 Retail Brampton, Canada 10,001+ 459
Saab
saab.com
 Defense and Space Manufacturing Stockholm, Sweden 10,001+ 265
Capital One
capitalone.com
 Financial Services McLean, United States 10,001+ 482
EPAM Systems
epam.com
 IT Services and IT Consulting Newtown, United States 10,001+ 163
Cargill
cargill.com
 Food and Beverage Manufacturing Wayzata, United States 10,001+ 432
HD Supply
hdsupply.com
 Wholesale Atlanta, United States 10,001+ 242
WSP in India
wsp.com
 Professional Services Noida, India 10,001+ 483
Target
target.com
 Retail Minneapolis, United States 10,001+ 1,085
Philip Morris International
pmi.com
 Manufacturing Lausanne, Switzerland 10,001+ 913
Bosch Hungary
bosch.hu
 Software Development Budapest, Hungary 10,001+ 216
Jabil
jabil.com
 Appliances, Electrical, and Electronics Manufacturing Saint Petersburg, United States 10,001+ 401
Politie Nederland
kombijdepolitie.nl
 Law Enforcement 10,001+ 202
KBR Careers
kbr.com
 IT Services and IT Consulting Houston, United States 10,001+ 207

7,677 companies use Pandas. Want the full list?

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Market Signal

With 7,677 companies hiring across 115 countries, and IT Services and IT Consulting (1,991) outnumbering Software Development (1,135), much of the demand sits in consultancies building data work for clients, so sellers should treat those firms as channel partners as well as buyers. Financial Services (705) is the largest end-user vertical, pointing to quantitative and risk analytics teams.

Stack Intelligence

Pandas runs on Python and is built on NumPy arrays, so co-hiring for python and numpy simply confirms a Python-native data team. Adding scikit-learn signals the team has moved past reporting into building predictive models. Accounts showing all four are prime targets for MLOps, feature store and model monitoring tools.

Hiring Landscape

Pandas in the Market

Where and how companies hire Pandas talent

By Country

United States
2,946
India
724
Brazil
499
United Kingdom
476
Germany
425
China
351
France
318
Spain
242

By Industry

IT Services and IT Consulting
1,991
Software Development
1,135
Financial Services
705
Technology, Information and Internet
494
Business Consulting and Services
394
Information Technology & Services
312
Insurance
145
Banking
144

Top Roles

Software Engineer1,935Data Engineer1,924Project Manager1,530Data Scientist1,459Product Manager1,418Business Analyst1,141Devops Engineer1,004Data Analyst974Ai Engineer959Account Manager723Full Stack Developer670Account Executive616

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 an open-source Python library for manipulating and analysing structured data, used to prepare data for reports, models and pipelines. When a company hires for it, it signals an in-house, code-based data or analytics capability.

Why should sales teams track Pandas hiring?

Pandas hiring identifies companies investing in Python data work, which are likely to need scalable compute, orchestration and data quality tooling. For example, a data observability vendor can target the 1,924 Data Engineer roles mentioning Pandas to reach teams whose pipelines are likely to break silently.

Who should be selling to companies that use Pandas?

Cloud data platforms such as Snowflake and Databricks, workflow orchestrators such as Astronomer and Prefect, data observability vendors, and data science consultancies all sell to Pandas users.