Databricks jobs: what they hire for, and how to apply
Databricks has 891 open roles on its own careers page, which runs on Greenhouse. The largest groups are solutions engineer roles (257), software engineer roles (159) and account executive roles (78). Across those postings, Databricks most often asks for Python, Databricks and SQL.
From Databricks’s Greenhouse board, as of . Not affiliated with Databricks.
What Databricks is hiring for
- Solutions Engineer257 open
- Software Engineer159 open
- Account Executive78 open
- Engineering Manager30 open
- Product Manager28 open
- Machine Learning Engineer16 open
- Full Stack Engineer15 open
- Technical Program Manager15 open
Skills Databricks asks for
| Skill | Share of postings | Bar |
|---|---|---|
| Python | 57% | |
| Databricks | 53% | |
| SQL | 46% | |
| AWS | 39% | |
| Azure | 38% | |
| GCP | 35% | |
| Apache Spark | 30% | |
| Scala | 23% | |
| Machine Learning | 22% | |
| Cloud Computing | 22% | |
| Data Engineering | 21% | |
| Distributed Systems | 20% | |
| SAAS | 17% | |
| Java | 16% | |
| Lakehouse | 15% |
Share of the 175 postings whose requirements we have read.
Where and how it hires
- 6% of its open roles are listed as remote.
- Roles are listed in United States, United Kingdom, Japan, Singapore and Germany.
- The median posting asks for 6+ years of experience.
Applying through Greenhouse
Greenhouse lets each employer add its own screening questions, and some are knockout questions that can reject an application automatically before a person reads it. Read them before you start: they often ask what a résumé does not say, and a wrong answer there ends the application regardless of the résumé.
What Wynda’s agent can and cannot do on Greenhouse is on the ATS coverage matrix.