pandas Jobs
74 pandas jobs currently listed
Browse 74 open positions that require pandas experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Data Engineer
London, United Kingdom - English
Vice President, Software Engineer - Finance Engineering
London, United Kingdom - English
Research Engineer, Foundation Model
Berlin, Germany - English
Senior Data Scientist
London, United Kingdom - English
Senior Data Scientist
London, United Kingdom - English
Senior Data Analyst (f/m/d)
Hamburg, Germany - English
Data Scientist
London, United Kingdom - English
Software Engineer
Berlin, Germany - English (Business proficiency)
AI/ML Platform Engineer
Munich, Germany - English (fluent)
Senior Data Scientist
Berlin, Germany - English
Senior AI/ML Platform Engineer
Munich, Germany - English
Senior Python Software Developer (m/w/d)
Dresden, Germany - English
Computer Vision Dataset Engineer (Object Detection) (m/f/d)
Munich, Germany - English
Teacher/Lehrer (m/w/d) Data Engineer
Germany (Remote) - German (B2)
Frequently Asked Questions
- There are currently 74 open positions that list pandas as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find pandas jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.