DataBricks Jobs
6 DataBricks jobs currently listed
Browse 6 open positions that require DataBricks 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.
By the numbers
- 2 companies hiring
- Mostly Staff roles
- Often paired with GenAI, LLM, AWS, Azure
Market insights
Grafana Labs is currently the most active employer hiring for DataBricks.
Seniority mix
- Staff 83%
- Senior 17%
Top hiring companies
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.
Grafana Labs 1 week ago
Remote
Staff Backend Engineer - Grafana Second Horizon | Germany | Remote
Germany (Remote) - English
LLM GenAI
€109.709–131.651 /yearGrafana Labs 1 week ago
Remote
Staff Backend Engineer - Grafana Second Horizon | UK | Remote
United Kingdom (Remote) - English
LLM GenAI
£103.958–124.750 /yearGrafana Labs 1 week ago
Remote
Staff Backend Engineer - Grafana Second Horizon | Ireland | Remote
Ireland (Remote) - English
LLM GenAI
€117.600–141.120 /yearGrafana Labs 2 weeks ago
Remote
Staff AI Engineer - 2nd Horizon | UK | Remote
United Kingdom (Remote) - English
LLM GenAI AWS GCP Azure
£100.000–124.000 /yearFrequently Asked Questions
- There are currently 6 open positions that list DataBricks 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 DataBricks 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.