Salary · India LPA
Data Engineer salary in India
Data Engineer salaries beat analyst tiers when Spark/Airflow production ownership is real. Product and GCC teams pay above services 'ETL developer' labels.
LPA bands by experience
Ranges reflect mixed services + product hiring — not top-decile outliers or internship stipends.
| Experience | Typical fixed CTC band |
|---|---|
| 0–2 years | 5–11 LPA |
| 3–5 years | 10–20 LPA |
| 5–8 years | 16–32 LPA |
City and remote notes
- Bengaluru (BLR): product analytics +15% vs mid
- Hyderabad (HYD): GCC data platform near BLR
- NCR (Delhi NCR): BFSI data eng upper mid
- Pune: services DE at mid
- Remote (India): remote DE for US product above local mid
Negotiation tip
Quote pipeline SLAs and data volumes — DE offers with on-call pager duty deserve explicit compensatory leave or bonus discussion.
Related reading: Salary negotiation in India · SDE salary by YOE
FAQ
What do Data Engineers earn in India?
Typical: 0–2 YOE 5–11 LPA, 3–5 YOE 10–20 LPA, 5–8 YOE 16–32 LPA with warehouse and orchestration proof.
DE vs Data Analyst pay?
DE usually higher at same YOE when pipelines and SLAs are owned. Analyst-heavy SQL roles sometimes overlap at services firms.
Negotiation tips for DE offers?
Lead with cost avoided, SLA uptime, and late-data handling. Clarify on-call expectations before accepting headline CTC.