Data Engineer Salary in India (2026): Up to ₹40 LPA by Experience, Cloud Skill and Role

A data engineer in India earns an average base salary of ₹9.75 LPA, and experienced data engineers earn up to ₹40 LPA base at the 90th percentile, according to PayScale India. Freshers start near ₹5.2 LPA. Every figure names its source and the date it was collected (24–25 September 2026), so you can see exactly what each number measures and use it to plan your next move.

Data engineer salary in India at a glance

Three salary sites publish a data engineer figure for India. They measure slightly different things, so read them side by side.

Measure	Figure	Source	Sample and update
Average base pay (reported)	₹9,74,783	PayScale, average base	1,284 profiles, updated 14 Jul 2026
Average base pay (advertised in job posts)	₹9,68,560	Indeed, average base	1.1k salaries, updated 20 Sep 2026
Average salary	₹11,00,000	Glassdoor, average	43,834 results
Average base pay	₹10,00,000	Glassdoor, average base	43,834 results
90th percentile base pay	₹20,00,000	PayScale, 90th percentile	1,284 profiles

Source: PayScale India, Indeed India and Glassdoor India data engineer pages, read on 24–25 September 2026.

The three averages sit within ₹1.31 lakh of each other. PayScale and Glassdoor collect pay that people report. Indeed's figure comes from salaries advertised in job posts over the past 36 months. Glassdoor's headline average sits above its own average base because the page also shows additional pay averaging ₹1 lakh a year. So when someone quotes "₹11 LPA", ask whether that is base or base plus bonus.

Data engineer salary by experience

Experience is the first thing that moves your pay. PayScale is the only independent source that breaks data engineer pay down by years.

Experience	Average pay	Pay type	Source
Under 1 year	₹5,18,398	Total compensation	PayScale, average (125 profiles)
1–4 years	₹8,10,624	Total compensation	PayScale, average (965 profiles)
Mid-career (5–9 years)	₹16,66,470	Base	PayScale, average (330 profiles)
Experienced (PayScale's senior band)	₹24,41,221	Base	PayScale, average (116 profiles)

Source: PayScale India data engineer pages (updated between March and July 2026), read on 24–25 September 2026.

Pay roughly doubles between the 1–4 year band and the mid-career band. That jump is where most data engineers move from writing jobs other people design to designing the platform themselves.

Recruiters see a different slice of the market: offers at product companies, global capability centres (GCCs) and funded startups, counted as total compensation. Their numbers run higher.

Experience	Average	Top 10%	Source
0–2 years	₹8.5 LPA	₹18 LPA	recrew.ai, total compensation
2–5 years	₹18 LPA	₹30 LPA	recrew.ai, total compensation
5–8 years	₹32 LPA	₹55 LPA	recrew.ai, total compensation
8+ years	₹46 LPA	₹80 LPA	recrew.ai, total compensation

Source: recrew.ai Data Engineer salary guide for India (2026; no exact date or sample size stated on the page), read on 24–25 September 2026.

At 2–5 years, the recruiter average (₹18 LPA) is about 2.2 times PayScale's 1–4 year figure. Use the independent number to judge where you stand today. Use the recruiter number to see what the better-paying employers offer, and what you need to show them to get there.

Data engineer salary for freshers

A fresher data engineer averages ₹5,18,398 in total pay in the first year, per PayScale. Better-placed freshers earn more: TeamLease Digital's Digital Skills and Salary Primer FY2025-26, as reported by Business Standard in August 2025, puts freshers in data engineering at up to ₹8.5 lakh. recrew.ai's 0–2 year average is also ₹8.5 LPA.

What separates the two ends is rarely the degree. It is whether you can show a pipeline that runs, clear a timed SQL round, and explain one design choice you made and why.

Senior data engineer salary

Experienced data engineers earn up to ₹40 LPA base at PayScale's 90th percentile (116 profiles). In Bengaluru GCCs, PlugScale's June 2026 benchmark puts the top fixed pay for data engineers with 10+ years at ₹82 LPA, based on its own market observations. TeamLease Digital reports senior data engineering pay "crossing ₹30 lakh in several sectors". The top of the market sits at GCCs and product companies, and it pays for platform design, cost control and the judgement to keep pipelines running.

Data engineer salary by skill: AWS, Azure, GCP and Big Data

PayScale publishes pay for data engineers who list a given skill. These are skill figures, not job titles, and they show which skills sit with higher pay.

Skill	Average base pay	Source	Sample
Google Cloud (GCP)	₹11,47,826	PayScale, data engineer with GCP skills	49 profiles (small sample)
Amazon Web Services (AWS)	₹11,20,188	PayScale, data engineer with AWS skills	199 profiles
Big Data Analytics	₹10,33,739	PayScale, data engineer with Big Data Analytics skills	133 profiles (last updated Feb 2025)
Microsoft Azure	₹9,91,367	PayScale, data engineer with Azure skills	225 profiles
All data engineers (baseline)	₹9,74,783	PayScale, data engineer	1,284 profiles

Source: PayScale India skill pages for data engineers, read on 24–25 September 2026.

Against the all-data-engineer average, GCP skills sit 18% higher, AWS 15%, Big Data 6% and Azure 2% (our arithmetic on PayScale's figures). recrew.ai's guide states that "cloud data platform depth in Redshift, BigQuery, or Databricks adds 15 to 25% to base salary". The two sources point the same way: deep cloud skill pays.

Job titles tell a different story. Glassdoor's averages for titles that carry a cloud name sit below the plain "Data Engineer" title.

Job title	Average salary	Source	Sample
Data Engineer	₹11,00,000	Glassdoor, average	43,834 results
GCP Data Engineer	₹8,81,228	Glassdoor, average	62 results
AWS Data Engineer	₹8,80,000	Glassdoor, average	237 results
Azure Data Engineer	₹8,21,000	Glassdoor, average	300 results
Big Data Engineer	₹8,10,000	Glassdoor, average	929 results

Source: Glassdoor India role pages, read on 24–25 September 2026.

Our reading: the skill pays, the label does not. A role titled after one cloud is often a narrower, tool-specific role. What lifts pay is depth on one cloud plus the platform skills that travel with you: Spark, a cloud warehouse, orchestration and data modelling. Pick the cloud your target employers use, go deep on it, and learn to map your design onto the other two.

Data engineer salary by city

None of the independent salary sources we read publishes a sourced city-by-city figure for data engineers in India, so we do not print a city table. The one city-specific benchmark in our set is PlugScale's Bengaluru GCC table (June 2026): data engineers with 0–2 years there earn up to ₹16 LPA in fixed pay, and those with 3–5 years up to ₹32 LPA. Bengaluru, Hyderabad, Pune and the NCR hold most GCC and product roles, so the employer usually explains more of a pay gap than the city does. When you compare two offers, compare the employer type first.

Related roles: data analyst, ETL developer, analytics engineer

Many data engineers arrive from a neighbouring role. Here is how those roles compare on one source with one method.

Role	Average salary	Source	Sample
Data Platform Engineer	₹18,62,535	Glassdoor, average	50 results (about 30 salaries)
Analytics Engineer	₹14,50,000	Glassdoor, average	2,792 results
Data Engineer	₹11,00,000	Glassdoor, average	43,834 results
Data Analyst	₹6,70,500	Glassdoor, average	35,624 results
ETL Developer	₹6,22,500	Glassdoor, average	1,475 results

Source: Glassdoor India role pages, read on 24–25 September 2026. PayScale cross-check: data analyst ₹5,77,472 and ETL developer ₹7,15,296 average base.

• Data analyst to data engineer. The most common switch. On Glassdoor the data engineer average is about 1.6 times the analyst average. You already know SQL; the step up is Python, a scheduled pipeline and one cloud.
• ETL developer to data engineer. ETL developers build the same flows in drag-and-drop tools. Moving to code-first pipelines (Python, Spark, Airflow, dbt) is what turns a ₹6.2 lakh average into an ₹11 lakh one.
• Analytics engineer. The dbt-and-modelling role between analyst and engineer. It shows a ₹14.5 lakh average, but only one source publishes it, so treat it as a pointer, not a benchmark.
• Data platform engineer. The role that runs the platform other engineers build on. It shows the highest average here, on a small sample of about 30 salaries.

What moves your data engineer salary

1. The employer you work for

The 1 Finance Global Economic Outlook Report 2026, using TeamLease RegTech data and reported by Business Today in June 2026, found that GCCs generally pay 12–20% more than traditional IT services companies. At the same experience level, moving from a services firm to a GCC or product company is often the single biggest jump you can make.

2. Depth on one cloud and one platform

Cloud data platform depth adds 15–25% to base, per recrew.ai. Depth means you can set up access, build ingest, query the lake, load a warehouse and keep the monthly bill in check, on one cloud, without a tutorial open.

3. Projects a hiring manager can open and run

Hiring managers check a short list of things, and you can prepare for each:

• A pipeline that runs on a schedule, with retries and an alert when it fails.
• Loads that can be re-run without creating duplicates, and a backfill you can explain.
• Data quality tests, and what happens when one fails.
• A Spark job you tuned, and what you saw in the Spark UI before and after.
• SQL with window functions and CTEs, written under time.
• A cost figure: what your pipeline costs per month and how you cut it.

4. Switching at the right time

The Michael Page India Salary Guide 2026, reported by Business Standard in March 2026, found that people with scarcity skills saw 30% to 40% hikes during job switches, against a 9.1% average increase. TeamLease expects data and AI-first professionals to see 10–12% salary growth in 2026. Staying put compounds slowly. A planned switch, made once your portfolio proves the next level, resets your base.

5. The data layer under AI

Companies building AI products need clean, governed data feeding their models: embeddings, vector stores and retrieval pipelines. Data engineers who can build that layer sit next to the AI budget. It is a skill to add once your core pipeline work is solid.

How to read any salary figure you see

• Base or total? Base is fixed pay. Total adds bonus, profit sharing and stock. CTC also counts employer PF and gratuity, so your in-hand pay is lower than CTC.
• Average or median? A few high earners pull an average up. Only PayScale publishes a median for data engineers (about ₹9.75 lakh base).
• Reported or advertised? Indeed figures are what employers advertise. PayScale and Glassdoor figures are what people report earning.
• How big is the sample? A figure from 8 salaries tells you far less than one from 1,284. Check the count before you quote it.
• How old is it? Check the update date. A figure from 2025 describes last year's market.

How SkilD teaches this

The skills that move pay in this article are the ones the PG Program in Data Engineering is built around. It runs 34 weeks with 206 live hours and 17 projects, taught live by industry experts, including faculty from Mastercard and Paytm. Classes run on weekends, Saturday and Sunday from 10 AM to 1 PM IST, and every class is recorded and up within 24 hours. The first class is on Saturday 28 November 2026.

You start with SQL, Python, Linux and Git, then build on the cloud you choose (AWS, Azure or GCP), with Spark and Databricks, Snowflake, Airflow, Kafka, dbt and governance after that. The projects are the ones hiring managers ask about: Kirana Ledger (your first scheduled pipeline), the Highway Toll Data Pipeline on your cloud, a Festival Sales Spark pipeline into Snowflake, and the Mandi Price Pipeline. A hiring week covers data-platform system design and timed SQL and Python rounds, and placement support runs until you have an offer.

More than 4,200 learners have trained with SkilD, and our learners work at 39+ companies. The highest recorded salary hike among them is 82%.

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