169 companies are hiring Pandas talent in Brazil.
Pandas is a Python-based data manipulation library used to clean, transform, and analyze structured datasets — the backbone of any analytics or machine learning pipeline. When a company in Brazil is hiring for Pandas skills, they're building or scaling internal data infrastructure, not just running reports. That means they're likely in the market for data warehousing solutions, BI tools, MLOps platforms, or data pipeline orchestration services.
A company posting Pandas roles is actively investing in data engineering or data science capacity, which typically precedes purchases of cloud data platforms, feature stores, or model deployment tools. In Brazil, where 40 of these 169 companies sit in IT Services and Consulting, this often signals they're building client-facing analytics products and need supporting infrastructure vendors. SDRs selling data observability, ETL tooling, or cloud storage should treat these job postings as a trigger to open outreach.
| Company | Industry | HQ Location | Size | Jobs | Links |
|---|---|---|---|---|---|
BTG Pactual btgpactual.com |
Financial Services | Brazil | 5,001+ | 390 | |
act digital actdigital.com |
IT Services and IT Consulting | Barueri, Brazil | 5,001+ | 385 | |
Nubank nubank.com.br |
Financial Services | São Paulo, Brazil | 5,001+ | 145 | |
Hypera hyperapharma.com.br |
Pharmaceutical Manufacturing | Brazil | 5,001+ | 131 | |
iFood ifood.com.br |
Software Development | Osasco, Brazil | 5,001+ | 100 | |
Pif Paf Alimentos pifpafalimentos.com.br |
Food & Beverages | Brazil | 5,001+ | 100 | |
FCamara fcamara.com |
IT Services and IT Consulting | Brazil | 1,001–5,000 | 279 | |
Swift swift.com.br |
Retail | São Paulo, Brazil | 1,001–5,000 | 248 | |
LUZA Group luzagroup.com |
Engineering Services | Brazil | 1,001–5,000 | 317 | |
PicPay picpay.com |
Financial Services | Brazil | 1,001–5,000 | 237 | |
Serasa Experian serasaexperian.com.br |
Information Services | Brazil | 1,001–5,000 | 186 | |
KPMG Brazil kpmg.com.br |
Accounting | São Paulo, Brazil | 1,001–5,000 | 203 | |
CPQD cpqd.com.br |
IT Services and IT Consulting | Brazil | 1,001–5,000 | 80 | |
Radix radixeng.com |
IT Services and IT Consulting | Campinas, Brazil | 1,001–5,000 | 140 | |
3tentos 3tentos.com.br |
Farming | Brazil | 1,001–5,000 | 144 | |
Vibra vibraenergia.com.br |
Wholesale Petroleum and Petroleum Products | Rio de Janeiro, Brazil | 1,001–5,000 | 93 | |
Banco PAN bancopan.com.br |
Banking | São Paulo, Brazil | 1,001–5,000 | 97 | |
TSEA tseaenergy.com |
Appliances, Electrical, and Electronics Manufacturing | Contagem, Brazil | 1,001–5,000 | 55 | |
B3 b3.com.br |
Financial Services | São Paulo, Brazil | 1,001–5,000 | 55 | |
BIP Brasil bipbrasil.com.br |
Business Consulting and Services | São Paulo, Brazil | 1,001–5,000 | 59 | |
DM vocedm.com.br |
Financial Services | Brazil | 1,001–5,000 | 119 | |
Ademicon ademicon.com.br |
Financial Services | Curitiba, Brazil | 501–1,000 | 306 | |
DBC Company dbccompany.com.br |
IT Services and IT Consulting | Porto Alegre, Brazil | 501–1,000 | 91 | |
Onfly onfly.com.br |
IT Services and IT Consulting | Belo Horizonte, Brazil | 501–1,000 | 62 | |
Data Engenharia data.com.br |
Appliances, Electrical, and Electronics Manufacturing | Brazil | 501–1,000 | 40 | |
Bancorbrás bancorbras.com.br |
Leisure, Travel & Tourism | Brasília, Brazil | 501–1,000 | 54 | |
Galapagos Capital galapagoscapital.com |
Financial Services | São Paulo, Brazil | 201–500 | 54 | |
Ninecon Consultores Associados Ltda ninecon.com.br |
IT Services and IT Consulting | Barueri, Brazil | 201–500 | 73 | |
AMcom Sistemas de Informação amcom.com.br |
IT Services and IT Consulting | Brazil | 201–500 | 70 | |
Vetta vetta.digital |
IT Services and IT Consulting | Brazil | 201–500 | 37 | |
MM Invest AI mminvestai.com.br |
Financial Services | São Paulo, Brazil | 11–50 | 524 | |
Rede D'Or rededorsaoluiz.com.br |
Hospitals and Health Care | Brazil | 10,001+ | 1,377 | |
Stefanini Brasil stefanini.com.br |
Business Consulting and Services | São Paulo, Brazil | 10,001+ | 545 | |
JBS jbs.com.br |
Food and Beverage Manufacturing | São Paulo, Brazil | 10,001+ | 544 | |
Mercado Livre Brasil mercadolivre.com |
Technology, Information and Internet | Osasco, Brazil | 10,001+ | 395 | |
Grupo Fleury grupofleury.com.br |
Wellness and Fitness Services | São Paulo, Brazil | 10,001+ | 366 | |
C&A Brasil cea.com.br |
Retail Apparel and Fashion | Barueri, Brazil | 10,001+ | 481 | |
Porto porto.vc |
Insurance | São Paulo, Brazil | 10,001+ | 327 | |
Stefanini Group stefanini.com |
Business Consulting and Services | São Paulo, Brazil | 10,001+ | 268 | |
Accenture Brasil accenture.com.br |
IT Services and IT Consulting | Brazil | 10,001+ | 322 | |
Embraer embraer.com |
Aviation and Aerospace Component Manufacturing | São José dos Campos, Brazil | 10,001+ | 258 | |
Claro Brasil claro.com.br |
Telecommunications | São Paulo, Brazil | 10,001+ | 88 | |
Safra safra.com.br |
Banking | São Paulo, Brazil | 10,001+ | 81 |
Companies with open Pandas roles in Brazil. Company HQ may be in a different location.
With 169 companies posting over 12,500 Pandas-related roles in Brazil, this isn't a niche hiring trend — it reflects a broad maturation of data teams across industries. The volume suggests companies have moved past data strategy conversations and are now staffing for execution.
Pandas rarely appears alone — companies hiring for it almost always require Python and NumPy alongside it, and the presence of scikit-learn signals they're pushing into predictive modeling, not just reporting. This three-technology cluster identifies companies with mid-to-advanced data science maturity who are likely evaluating ML infrastructure or AutoML vendors. For sales teams, this stack combination narrows targeting to buyers who need more than a dashboard tool.
Where and how companies hire Pandas talent
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Pandas is a data processing library that helps analysts and engineers work with tabular data at scale — think of it as the operational layer between raw data and business decisions. Companies hiring for it are building teams that can own the full data workflow. That hiring activity is a reliable signal of active investment in data infrastructure.
Pandas hiring identifies companies mid-build on their data stack, before major vendor decisions are locked in. A company ramping five Data Engineers with Pandas skills in Q1 is likely evaluating data platforms and pipeline tools in Q2.
Vendors best positioned to prospect these companies include cloud data warehouse providers, MLOps and model deployment platforms, data pipeline and ETL tool vendors, and BI or data visualization software companies.