Databricks
Large (~7,000)
DeepL
Large (~1,570)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
DeepL
Best for: NLP and backend engineers interested in language AI who prioritize work-life balance over compensation and fast career growth
Ratings
DatabricksDeepL
4.1
3.2
Overall
3.9
4.0
Work-Life Balance
4.0
3.3
Culture & Values
4.3
3.2
Comp & Benefits
3.8
3.0
Senior Mgmt
3.9
3.0
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 64% Recommend
👤 67% CEO Approval (Jaroslaw Kutylowski)
Culture Values
Databricks only
⚙️ Engineering-Driven💎 Strong Comp & Equity
DeepL only
⚖️ Work-Life Balance🕐 Flexible Hours
Shared
🌱 Learning & Growth🌈 Diverse & Inclusive🎯 Direct Product Impact
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
DeepL
- Great product with big-name customers — startup vibe with corporate safety net
- Good salary, very international team of 90+ nationalities with good work-life balance
- Intransparent leadership — hidden salary bands, top-down decisions with no feedback loop
- High employee churn with repeated downsizing despite positive financial messaging
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
DeepL
DeepL's language models are impressive, but Glassdoor tells a cautionary story (3.2 overall, 64% recommend) — reviews cite weak management and limited career progression despite decent WLB.
Open Roles
Databricks — 845 jobs
💼 Sales / GTM
356
💻 Engineering
272
📋 Product
47
📣 Marketing
31
📊 Data
21
⚙️ Operations
18
🧠 ML / AI
11
👤 HR / People
10
💰 Finance
8
🎨 Design
6
⚖️ Legal
5
🎧 Support
1
DeepL — 56 jobs
💼 Sales / GTM
31
💻 Engineering
6
🧠 ML / AI
3
📊 Data
2
👤 HR / People
2
🎧 Support
2
💰 Finance
1
⚖️ Legal
1
📣 Marketing
1
⚙️ Operations
1
📋 Product
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. DeepL scores 3.2/5.0 overall with a 4.0 WLB. That’s a 0.9-point gap on overall satisfaction.
Both companies share these culture values: Learning & Growth, Diverse & Inclusive, Direct Product Impact. Databricks also emphasizes Engineering-Driven, Strong Comp & Equity. DeepL also emphasizes Work-Life Balance, Flexible Hours.
On the hiring front, Databricks has 845 open roles and DeepL has 56 open roles.