Databricks
Large (~7,000)
incident.io
Small (~140)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
incident.io
Best for: Professionals interested in incident.io
Ratings
Databricksincident.io
4.1
4.5
Overall
3.9
4.1
Work-Life Balance
4.0
4.6
Culture & Values
4.3
4.5
Comp & Benefits
3.8
4.3
Senior Mgmt
3.9
4.3
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 90% Recommend
👤 95% CEO Approval (CEO)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
incident.io only
🪟 Transparent🛡️ Safe to Fail🚀 Ship Fast & Iterate🤝 Flat Hierarchy
Shared
⚙️ Engineering-Driven🌱 Learning & Growth
Pros & Cons
Databricks
- Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
- Strong compensation and equity packages consistently above market
- Hypergrowth means org changes are constant — teams restructure frequently
- Some legacy Spark-era tech debt that can slow down new features
incident.io
- Strong culture with a dedicated culture manager — values are practiced, not just stated
- Excellent compensation and benefits with strong career growth opportunities
- Rapid scaling can create instability — some report organizational growing pains
- London-centric with limited remote options for some roles
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
incident.io
incident.io — check Glassdoor for detailed reviews.
Open Roles
Databricks — 795 jobs
💼 Sales / GTM
322
💻 Engineering
260
📋 Product
53
📊 Data
23
⚙️ Operations
17
🧠 ML / AI
15
💰 Finance
12
📣 Marketing
11
👤 HR / People
9
⚖️ Legal
5
🎨 Design
4
🎧 Support
1
incident.io — 27 jobs
💼 Sales / GTM
18
💻 Engineering
7