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COMPANIES USING

Companies Using Pandas in United States

980 companies are hiring Pandas talent in United States.

Pandas is a Python-based data manipulation library used to clean, transform, and analyze structured datasets — the foundational step before any machine learning model or BI dashboard gets built. When a company posts Pandas roles, they're signaling active investment in data pipelines, analytics infrastructure, or predictive modeling capabilities. These companies are likely evaluating or expanding spend on cloud data warehouses, ETL tools, and ML platforms.

Buying Signal

A company hiring Pandas engineers is building or scaling a data team, which typically precedes procurement decisions around data orchestration tools, cloud storage, and analytics platforms. For example, a fintech firm posting 10+ Pandas roles is likely mid-build on a risk modeling or reporting pipeline — a direct opening for vendors selling data infrastructure, MLOps tooling, or BI solutions. SDRs at companies like Databricks, Snowflake, or dbt Labs should be prioritizing these accounts.

Top Companies46 shown

CompanyIndustryHQ LocationSizeJobsLinks
CrowdStrike
crowdstrike.com
Computer and Network Security United States 5,001+ 1,607
AgileEngine
agileengine.com
Software Development Boca Raton, United States 1,001–5,000 1,926
Apex Systems
apexsystems.com
IT Services and IT Consulting Glen Allen, United States 1,001–5,000 1,758
Turing
turing.com
Technology, Information and Internet San Francisco, United States 1,001–5,000 1,651
Kforce Inc
kfrc.co
IT Services and IT Consulting Tampa, United States 1,001–5,000 1,685
Varsity Tutors, a Nerdy Company
varsitytutors.com
Technology, Information and Internet Saint Louis, United States 501–1,000 1,971
Lensa
lensa.com
Internet Publishing West Chester, United States 51–200 3,768
Inside Higher Ed
insidehighered.com
Online Audio and Video Media Washington, United States 51–200 2,028
Bright Vision Technologies
bvteck.com
IT System Custom Software Development Bridgewater Township, United States 51–200 992
Mercor
mercor.com
Software Development San Francisco, United States 51–200 2,680
Walmart
walmart.com
Retail Bentonville, United States 10,001+ 2,311
WPP Media
wppmedia.com
Advertising Services New York, United States 10,001+ 1,448
PNC
pnc.com
Financial Services Pittsburgh, United States 10,001+ 2,213
UST
ust.com
IT Services and IT Consulting Aliso Viejo, United States 10,001+ 1,880
JLL
co.jll
Real Estate Chicago, United States 10,001+ 1,861
TEKsystems
teksystems.com
IT Services and IT Consulting United States 10,001+ 1,866
Comcast
comca.st
Telecommunications Philadelphia, United States 10,001+ 1,797
Caterpillar Inc.
caterpillar.com
Machinery Manufacturing Irving, United States 10,001+ 1,609
Lam Research
lamresearch.com
Semiconductor Manufacturing Fremont, United States 10,001+ 1,472
Leidos
leidos.com
Defense and Space Manufacturing Reston, United States 10,001+ 1,773
Thermo Fisher Scientific
thermofisher.com
Biotechnology Research Waltham, United States 10,001+ 2,172
Labcorp
labcorp.com
Hospitals and Health Care Burlington, United States 10,001+ 1,809
Cushman & Wakefield
cushmanwakefield.com
Real Estate Chicago, United States 10,001+ 1,803
Boeing
boeing.com
Aviation & Aerospace Arlington, United States 10,001+ 2,323
GXO Logistics, Inc.
gxo.com
Transportation, Logistics, Supply Chain and Storage Greenwich, United States 10,001+ 1,582
Capital One
capitalone.com
Financial Services McLean, United States 10,001+ 1,764
Oracle
oracle.com
IT Services and IT Consulting Austin, United States 10,001+ 1,732
GE HealthCare
gehealthcare.com
Hospitals and Health Care Chicago, United States 10,001+ 1,487
Cognizant
cognizant.com
IT Services and IT Consulting Teaneck, United States 10,001+ 1,745
Booz Allen Hamilton
boozallen.co
IT Services and IT Consulting Mclean, United States 10,001+ 1,753
Lockheed Martin
lockheedmartin.com
Defense and Space Manufacturing North Bethesda, United States 10,001+ 1,737
Target
target.com
Retail Minneapolis, United States 10,001+ 1,916
Cargill
cargill.com
Food and Beverage Manufacturing Wayzata, United States 10,001+ 1,723
Emerson
emerson.com
Automation Machinery Manufacturing Clayton, United States 10,001+ 1,725
JPMorganChase
jpmorganchase.com
Financial Services New York, United States 10,001+ 1,691
SAIC
saic.com
Defense and Space Manufacturing Reston, United States 10,001+ 1,461
EPAM Systems
epam.com
IT Services and IT Consulting Newtown, United States 10,001+ 1,691
State Street
statestreet.com
Financial Services Boston, United States 10,001+ 1,704
PepsiCo
pepsico.com
Food and Beverage Services Town/Village of Harrison, United States 10,001+ 2,020
Amazon
aboutamazon.com
Software Development Seattle, United States 10,001+ 1,733
Intuit
intuit.com
Software Development Mountain View, United States 10,001+ 1,685
Jabil
jabil.com
Appliances, Electrical, and Electronics Manufacturing St Petersburg, United States 10,001+ 1,698
Blue Origin
blueorigin.com
Aviation and Aerospace Component Manufacturing Kent, United States 10,001+ 1,674
Nike
nike.com
Retail Beaverton, United States 10,001+ 1,540
DXC Technology
dxc.com
IT Services and IT Consulting Ashburn, United States 10,001+ 1,666
Citi
citigroup.com
Financial Services New York, United States 10,001+ 1,941

980 companies use Pandas. Want the full list?

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Companies with open Pandas roles in United States. Company HQ may be in a different location.

Market Signal

Over 1,000 U.S. companies actively hiring for Pandas signals this isn't a niche skill — it's table stakes for modern data teams. Nearly 91,000 open roles tied to this technology reflects sustained, broad-based demand across both enterprise and mid-market.

Stack Intelligence

Companies hiring for Pandas almost always co-hire for Python, NumPy, and scikit-learn — a stack that indicates they're not just doing reporting but building analytical models or ML workflows. This combination reveals a team moving beyond spreadsheets toward production-grade data science. Vendors selling MLOps platforms, feature stores, or model monitoring tools should treat this cluster as a high-fit signal.

Hiring Landscape

Pandas in the Market

Where and how companies hire Pandas talent

By Industry

IT Services and IT Consulting
209
Software Development
204
Financial Services
99
Technology, Information and Internet
57
Business Consulting and Services
40
Information Technology & Services
36
Hospitals and Health Care
25
Biotechnology Research
20

Top Roles

Software Engineer567Data Engineer565Data Scientist488Product Manager412Project Manager378Data Analyst318Business Analyst315Devops Engineer304Program Manager284Account Executive251Account Manager244Machine Learning Engineer240

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Frequently Asked Questions

What is Pandas?

Pandas is the primary tool data teams use to prepare and transform raw data before it's analyzed or fed into models. It sits at the core of most Python-based analytics workflows across industries. Heavy hiring for Pandas roles indicates a company is scaling its data operations, not just experimenting.

Why should sales teams track Pandas hiring?

Pandas hiring is an early signal that a company is investing in data infrastructure — often before they've finalized their tooling stack. A sales rep tracking these job posts can reach out before budget is committed and vendors are shortlisted.

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 tools, MLOps and model deployment platforms, and BI or data visualization software.