PySpark Jobs
41 PySpark jobs currently listed
Browse 41 open positions that require PySpark 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 Scientist (m/f/x)
Berlin, Germany - English (fluent)
Staff / Senior Software Engineer - Machine Learning (m/f/d)
Berlin, Germany - English
Data Engineer (junior/medior)
Zwolle, Netherlands - English
Security Engineer - Offensive Security
Ireland - English
Security Engineer - Threat Detection
Ireland - English
Senior Machine Learning Engineer
London, United Kingdom - English
Data Engineer | BEES Personalization
Brazil (Remote) - English (Intermediate)
Data Engineer | BEES Data
English (Advanced)
Senior Data Scientist | BEES Personalization
São Paulo, Brazil (Remote) - English
Senior Data Engineer | Bees Personalization
English (Advanced)
Senior Data Scientist - BEES Fintech
English
Principal Machine Learning Engineer - ZMS (all genders)
Berlin, Germany - English
Senior Software Engineer - Data Integration & JVM Ecosystem
Germany (Remote) - English
Director, Data Science - Deep Learning & AI
Berlin, Germany - English
Data Platform Engineer (Mid-Level) (m/f/d)
Berlin, Germany - English (fluent)
Field Data Platform Engineer
English
Machine Learning Scientist
Amsterdam, Netherlands - English
Head of Machine Learning Engineering
London, United Kingdom - English
Data Engineer (all Genders) mit Schwerpunkt Databricks
Cologne, Germany - German (very good)
Data Engineer (all Genders) mit Schwerpunkt Microsoft Fabric
Cologne, Germany - German (B2), English
Frequently Asked Questions
- There are currently 41 open positions that list PySpark 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 PySpark 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.