Data Engineer Salary in India (2026): By Experience, City & Company
Data engineering has quietly become one of the most in-demand — and best-compensated — roles in Indian tech. Every company running at scale needs data engineers to build and maintain the pipelines that power analytics, ML models, and real-time dashboards. In 2026, engineers with modern stack skills — Spark, Kafka, dbt, Databricks — are being hired aggressively, and supply is far short of demand. This guide breaks down data engineer salaries in India by experience, city, and company type, with data on which specific skills command the biggest market premium.
Key insight: Real-time streaming skills (Kafka, Flink) are the fastest-growing salary premium in data engineering right now. Engineers who can architect event-driven data systems earn 25–30% above the median. If you only know batch processing and legacy ETL, you're leaving significant salary on the table in today's market.
Key figures at a glance
- Entry Level (0–2 yr)
- ₹5L – ₹13L (₹8L median)
- Mid-level (2–5 yr)
- ₹12L – ₹28L (₹18L median)
- Senior (5–8 yr)
- ₹22L – ₹48L (₹32L median)
- Staff / Lead (8+ yr)
- ₹35L – ₹72L (₹52L median)
Source: Pathvio salary benchmarks · May 2026 · Annual CTC in INR
Data Engineer Salary by Experience in India
All figures are annual CTC in Indian Rupees. P25 = 25th percentile, Median = 50th, P75 = 75th, P90 = top 10%.
ETL pipelines, SQL, basic Spark. Most roles in analytics or IT services.
Owns data pipelines end-to-end. dbt, Airflow, Kafka expected. Highest career velocity.
Data platform design, cross-team impact. Leads junior engineers and sets standards.
Data architecture, org-wide influence. Often transitions to Data Platform Lead or Director.
| Experience Band | P25 | Median ↑ | P75 | P90 |
|---|---|---|---|---|
| Entry Level (0–2 yr) | ₹5L | ₹8L | ₹13L | ₹18L |
| Mid-level (2–5 yr) | ₹12L | ₹18L | ₹28L | ₹40L |
| Senior (5–8 yr) | ₹22L | ₹32L | ₹48L | ₹65L |
| Staff / Lead (8+ yr) | ₹35L | ₹52L | ₹72L | ₹95L |
Data Engineer Salary by City
City premium applied to median salary. Bangalore commands the highest premium for tech roles in India.
Best ecosystem. Highest density of product cos with mature data platforms.
BFSI data engineering. Fintech data teams at Razorpay, PhonePe, Groww.
Growing data teams. Microsoft and Amazon India offices with data engineering roles.
Enterprise data roles. Large MNC presence with structured data teams.
Service-heavy. Fewer data engineering openings at product-first companies.
Service company data roles predominantly. Emerging product scene lagging by a few years.
Data Engineer Salary by Company Type
Company type is the single biggest salary lever in India — often more impactful than years of experience alone.
Legacy ETL and BI work. Limited modern stack exposure. Good for initial experience only.
Strong domain exposure. Multiple clients and industries. Good foundation for product transitions.
Real-time pipelines at scale. Kafka, Flink, Spark in production. Best for career growth.
Cutting-edge infra at global scale. Top ESOPs. Strongest resume brand in the industry.
Skills That Boost Your Data Engineer Salary
Skill premium data based on offer benchmark analysis for India, 2025–26.
Core skill for large-scale data processing. Universally demanded at product and analytics companies.
Rapidly becoming the modern data stack standard. Engineers with dbt expertise are actively sought.
Scarce and high-value. Product companies pay 25% premium for real-time data expertise.
Most modern data infrastructure lives on cloud. Certified practitioners earn significantly more.
Bridge between data engineering and ML engineering. The fastest-growing adjacent skill in 2026.
From the Pathvio Blog
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