The typical data engineer salary in India is about ₹11.6 to 12.9 LPA in 2026, based on AmbitionBox data for engineers with one to seven years of experience. Freshers start at ₹4 to 8 LPA, mid-level engineers at product companies earn ₹25 to 45 LPA, and senior and lead data engineers at top firms reach ₹50 to 80 LPA or more.
Data engineer salary: the interview decides the jump
The biggest salary jump for a data engineer is moving from an IT services firm to a product company or GCC, and that move depends on one interview loop: SQL and coding, a data modelling round, and pipeline or system design. A mock interview with an experienced data engineer shows you which round needs work before you apply.
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Data engineer salary by experience
[[table]]
Experience | Typical role | Salary (LPA)
0 to 1 yrs | Associate data engineer | 4 to 8
1 to 3 yrs | Data engineer | 7 to 16
3 to 6 yrs | Senior data engineer | 14 to 30
6 to 10 yrs | Lead data engineer | 25 to 50
10+ yrs | Staff, architect | 40 to 80+
[[/table]]
The top of each band is almost always at product companies, fintechs and GCCs. The bottom is IT services. Two engineers with the same years of experience can be ₹15 LPA apart depending on where they work and which stack they use.
Data engineer salary by tech stack
[[table]]
Stack | 1 to 3 yrs (LPA) | 3 to 6 yrs (LPA)
SQL + traditional ETL | 5 to 9 | 9 to 15
Python + Airflow | 8 to 14 | 15 to 28
Spark / PySpark | 9 to 16 | 18 to 35
Databricks or Snowflake | 10 to 18 | 22 to 45
Kafka / Flink streaming | 12 to 20 | 25 to 50
dbt (analytics engineer) | 8 to 14 | 18 to 35
[[/table]]
These are typical 2026 ranges from salary trackers and job listings, so treat them as estimates. A few things stand out:
- Traditional ETL pays the least. Engineers working only with SQL and tools like Informatica or SSIS, mostly at IT services firms, sit at the bottom of the market.
- Spark is the baseline for better pay. Strong PySpark skills, including performance tuning, are expected at most product companies.
- Cloud platforms add a premium. Deep Databricks or Snowflake experience typically adds 15 to 25% over a generalist data engineer.
- Streaming pays the most. Kafka and Flink skills for real-time pipelines add a 20 to 35% premium, because few engineers have run them in production.
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Data engineer salary at product-based companies
Product-based companies and GCCs pay data engineers far more than IT services firms. Here's what the jump looks like.
[[table]]
Experience | IT services (LPA) | Product company (LPA)
Fresher | 4 to 6 | 8 to 15
1 to 3 yrs | 6 to 10 | 15 to 25
3 to 6 yrs | 10 to 18 | 25 to 45
6 to 10 yrs | 18 to 28 | 45 to 80
10+ yrs | 28 to 45 | 80 to 120+
[[/table]]
Companies like Flipkart, Swiggy, Razorpay, PhonePe and Zerodha, and GCCs like Walmart Global Tech, run large data platforms on Spark, Databricks, Snowflake and Kafka. They pay at the top of the market and often include stock.
Their interviews are harder too. A typical product-company data engineering loop has:
- SQL and coding. Advanced SQL with window functions, plus a Python or DSA problem.
- Data modelling. Design tables for a business use case, like orders and payments, and explain how they'd be queried.
- Pipeline or system design. Design a batch or streaming pipeline end to end, including failures, late data and backfills.
- Behavioural or hiring manager. Past projects, ownership and how you handled data quality incidents.
Practise a product-company data engineering loop
Data engineer salary by company type
AmbitionBox averages for data engineers with one to seven years of experience:
[[table]]
Company type | Avg salary (LPA)
IT services | 9.6 to 10.6
Consulting | 13.1 to 14.5
Analytics firms | 13.6 to 15
Software product | 16.9 to 18.7
Financial services | 17.5 to 19.3
[[/table]]
On Levels.fyi, which skews toward top product companies, the 90th percentile for data engineers in India is about ₹44.6 LPA in total compensation.
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Data engineer salary by city
[[table]]
City | Mid-level (LPA)
Bengaluru | 15 to 35
Hyderabad | 14 to 32
Pune | 12 to 28
Gurugram / Delhi NCR | 12 to 28
Chennai | 10 to 24
[[/table]]
Bengaluru pays the most, roughly 20 to 25% above the national average. Hyderabad is close behind thanks to large Microsoft, Amazon and Google data platform teams.
What ₹12 LPA means in hand
Here's a rough breakdown for a ₹12 LPA data engineer, assuming basic pay is 40% of CTC and the new tax regime.
[[table]]
Item | Per year
CTC | ₹12,00,000
Less employer PF and gratuity | ₹80,700
Less your PF | ₹57,600
Less professional tax | ₹2,400
Income tax | ₹0
In hand | About ₹10,59,300
[[/table]]
That's roughly ₹88,300 a month. Income tax is zero because taxable income after the ₹75,000 standard deduction stays under ₹12 lakh.
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How to grow your data engineer salary
If you're early in your career, move off pure SQL and ETL tools as soon as you can. Learn PySpark properly, including how to tune a slow job, and get comfortable with Airflow and one cloud platform.
From two or three years in, add one premium skill: Databricks or Snowflake at depth, or streaming with Kafka. Then target product companies and GCCs, where the same experience pays 50 to 100% more than IT services.
At senior level, the jump to lead and staff roles depends on pipeline and platform design: how you handle late data, backfills, schema changes, cost and reliability across many teams. Practise explaining those choices out loud. Our system design interview preparation guide covers the framework.
FAQs
What is the average data engineer salary in India? About ₹11.6 to 12.9 LPA for engineers with one to seven years of experience, according to AmbitionBox.
What is the data engineer salary at product-based companies? Usually ₹8 to 15 LPA for freshers, ₹25 to 45 LPA at three to six years, and ₹45 to 80 LPA for senior engineers.
Which data engineering skill pays the most? Streaming (Kafka, Flink) and deep Databricks or Snowflake experience carry the biggest premiums.
What is the data engineer fresher salary in India? Usually ₹4 to 8 LPA. Product companies can pay ₹8 to 15 LPA to strong freshers.
Is data engineering better paid than data science? At the same experience, pay is similar. Data engineers with streaming and platform skills often earn more than generalist data scientists.
Book a data engineering mock interview
Make the Jump to a Product Company: Take a Mock Interview
The biggest raise in data engineering comes from one successful product-company loop. Practise SQL, data modelling and pipeline design with an experienced data engineer, get honest feedback, and walk into your next interview ready.
Book your data engineering mock interview
