Data Engineer Salary in India (2026): Freshers to Senior, by City, Skill and Company

The average data engineer salary in India is ₹12.2 lakhs per annum (LPA), according to AmbitionBox, which bases that figure on 1.1 lakh salaries and last updated it on 6 October 2026. On the same source, pay climbs from about ₹8 LPA at 1 to 3 years to ₹18.4 LPA at 6 to 9 years. PayScale and Indeed come in lower, at roughly ₹9.6 to ₹9.7 LPA.

Key Highlights of Data Engineer Salary in India

• AmbitionBox puts the average at ₹12.2 LPA; PayScale reports an average base salary of ₹9,74,783 and Indeed an average of ₹9,64,455 from job postings. Each source measures something different.
• Data engineer salary per month works out to about ₹1.02 lakh before tax on the AmbitionBox average (annual divided by 12).
• Software product and financial services employers pay well above IT services firms in AmbitionBox's industry data.
• Gurugram and Bengaluru lead the city tables on AmbitionBox, with Bengaluru also showing the highest median among the large metros on PayScale.
• Spark, Scala and AWS skills are linked with higher median pay on PayScale's India data, although several skill samples are small.

Introduction

Your job title tells an employer surprisingly little about what to pay you. What moves a data engineer's salary is the kind of company you work for (an IT services firm or a product company), how many years you've spent owning pipelines, and the stack you run. Two people with "Data Engineer" on their offer letters can be more than ₹10 lakh apart, as the company figures further down show.

The salary sites don't agree with each other either, sometimes by 25 per cent, and that's mostly a question of method. AmbitionBox collects self-reported salaries from employees. PayScale reports base salary from salary profiles, while Indeed averages the pay advertised in job postings. So rather than blend them into one tidy number, this guide puts the sources side by side and says what each one measures and when it was last updated.

If you're coming in from analytics or software testing, the core toolkit is Python, SQL and a distributed engine such as Spark. Get those three in place before you worry about which salary band you'll land in.

Average Salary of Data Engineer in India: What Different Sources Report

Depending on which site you open, the average sits somewhere between about ₹9.6 LPA and ₹12.2 LPA. The table below shows each source's own figure, unadjusted.

AmbitionBox comes out highest, partly because its sample leans heavily on the 3 to 6-year band (72.3k of its 1.1 lakh salaries). PayScale's number covers base salary only, and Indeed's reflects what employers advertise rather than what employees say they're paid. When you're benchmarking an offer at a named company, AmbitionBox is the more useful tool; PayScale and Indeed work better as a sanity check on base pay.

Data Engineer Salary Per Month

For a rough monthly gross, divide the annual figure by 12. The AmbitionBox average of ₹12.2 LPA gives about ₹1,01,667 per month, and PayScale's average base of ₹9,74,783 gives about ₹81,232.

What reaches your bank account will be less. Provident fund, professional tax and income tax all come out first, and if part of your CTC is a variable bonus paid once a year, your monthly figure drops again. Before comparing two offers, ask each employer to split the CTC into fixed pay, variable pay and benefits.

Data Engineer Salary in India by Experience

Years of experience matter more than anything else. On AmbitionBox, pay more than doubles between the 1 to 3 year band and the 6 to 9 year band. AmbitionBox and PayScale cut their experience bands differently, so each band gets its own row below.

Sources: AmbitionBox Data Engineer, updated 6 Oct 2026; PayScale India, updated 14 Jul 2026.

Look at how small AmbitionBox's 6 to 9 year sample is next to the 3 to 6 year band. By that stage, most engineers carry a "Senior" or "Lead" title, so if you have that much experience, the senior figures below are the ones to compare yourself against.

Data Engineer Salary for Freshers

PayScale reports an average total compensation of ₹5,18,398 for data engineers with less than one year of experience, based on 125 salaries. Divided by 12, that's roughly ₹43,200 a month before tax. AmbitionBox doesn't publish a separate fresher band for the Data Engineer title, so be careful with fresher figures quoted elsewhere.

Plenty of freshers never get "Data Engineer" as their first title. They join an IT services firm as a "Trainee" or "Associate Software Engineer" and get moved onto a data project later. To stand out at that stage, you need a portfolio pipeline that runs end to end, along with the big data skills that hiring managers screen for, things like SQL window functions and partitioning.

Senior Data Engineer Salary in India

On AmbitionBox's Senior Data Engineer, the average is ₹22.3 LPA, from 34.2k salaries updated 5 October 2026. That works out to about ₹1.86 lakh a month before tax.

The same page puts the top 10 per cent of senior data engineers above ₹34 LPA and the top 1 per cent above ₹53.5 LPA. The more telling comparison is at the same experience level: with 3 to 6 years behind them, a Data Engineer averages ₹11.9 LPA on AmbitionBox and a Senior Data Engineer ₹17.3 LPA, which gives you a fair idea of what the title change alone is worth.

Data Engineer Salary by City in India

On AmbitionBox, Gurugram and Bengaluru pay data engineers the most, and PayScale gives Bengaluru the highest median among the large metros. Still, the gap between the big tech cities is smaller than the gap between employers.

Sources: AmbitionBox Data Engineer page (6 Oct 2026); PayScale India (14 Jul 2026). AmbitionBox lists exact averages only for its top five cities.

Indeed India's job-posting data (updated 27 September 2026) throws up a surprise: Coimbatore at ₹14,47,352 a year, ahead of Bengaluru at ₹10,52,358 and Gurugram at ₹9,64,123. Because these figures come from postings, a single city's lead can come down to a handful of well-paid listings, which is a long way from a city-wide premium. Don't pack up and move to Coimbatore on the strength of it.

Data Engineer Salary by Skills and Cloud Platform

Cloud-specific job titles on AmbitionBox actually average a little below the generic Data Engineer title, while engine skills such as Spark and Scala show higher medians on PayScale. These are two different measurements, so the tables are kept apart.

By job title (AmbitionBox)

By skill among data engineers (PayScale India median pay, updated 14 Jul 2026)

Don't read too much into the skill table. Kafka, Airflow and Snowflake each have fewer than 40 profiles, far too few to call a market rate. What does stand out is that SQL and Python on their own sit at the bottom of the list. They get you in the door, and pay starts to move once you add a distributed engine and a cloud platform on top. If you haven't settled on which engines to learn, this overview of big data toolssuch as Spark, Kafka and Hive explains where each one fits.

Azure Data Engineer Salary in India

Azure Data Engineers average ₹9.5 LPA on AmbitionBox, going from ₹5.7 LPA at 1 to 3 years to ₹8.6 LPA at 3 to 6 years and ₹13 LPA at 6 to 9 years. Why lower than the generic title? Probably the experience mix. AmbitionBox gives 2 to 6 years as the typical range for this title, and 13k of its 15.3k salaries fall in the 3 to 6 year band. If Azure is new to you, getting the platform basics covered at the AZ-900 Azure Fundamentals level first makes the data services much easier to pick up.

AWS Data Engineer Salary in India

AmbitionBox puts AWS Data Engineers at an average of ₹10.6 LPA, with ₹6.3 LPA at 1 to 3 years, ₹9.5 LPA at 3 to 6 years and ₹16 LPA at 6 to 9 years. That last figure rests on just 74 salaries, so expect individual offers to vary a lot. Day-to-day, AWS data work tends to mean S3, Glue, Redshift, EMR and Lambda. If you want hands-on practice with those core services, Simpliaxis's Cloud Computing with AWS course is a reasonable place to start.

Big Data Engineer Salary in India

Big Data Engineers average ₹11.4 LPA on AmbitionBox, with ₹7.5 LPA at 1 to 3 years, ₹10.3 LPA at 3 to 6 years and ₹17.3 LPA at 6 to 9 years. A lot of these roles still sit on on-premise Hadoop clusters at banks and telecoms, so it's worth knowingwhat Hadoop is and how HDFS workseven if your next job is cloud-first.

Data Engineer Salary by Company Type

Product companies and financial services firms pay data engineers far more than IT services firms do. AmbitionBox's Software Product band (₹16.4 to ₹18.2 LPA) is well clear of IT Services and Consulting (₹9.1 to ₹10.1 LPA).

Source: AmbitionBox Data Engineer page, 6 Oct 2026.

Company by company, AmbitionBox has TCS at ₹6.8 to ₹7.5 LPA, Accenture at ₹8.7 to ₹9.6 LPA, IBM at ₹11.2 to ₹12.3 LPA, Deloitte at ₹13.5 to ₹14.9 LPA and Fractal Analytics at ₹19 to ₹21 LPA. Google leads its top-paying list at ₹38.3 LPA, followed by Atlassian at ₹32.1 LPA and Apple at ₹31.9 LPA. GCCs and startups aren't tagged as separate categories on AmbitionBox, so we haven't guessed figures for them.

Data Engineer vs Data Scientist Salary in India

On average, data scientists in India earn more than data engineers, who in turn earn well above data analysts. AmbitionBox has data scientists at ₹16.1 LPA against ₹12.2 LPA for data engineers.

If you've been searching for a "data science engineer" salary, you probably mean one of the first two rows. The data scientist builds the models; the data engineer builds the pipelines that feed them. At senior level, the gap closes, and AmbitionBox's Senior Data Engineer average (₹22.3 LPA) is actually higher than the overall Data Scientist average. Simpliaxis has a clear breakdown ofhow big data, data analytics and data science differif the roles still blur together. And if you're torn between data engineering and general backend work, set these numbers against the software engineer salary in Indiaguide.

Data Engineer Salary in the US: A Quick Comparison

PayScale reports an average US base salary of $100,094 for data engineers, based on 3,649 profiles updated 14 July 2026. Indeed's job-posting average is higher, at $136,776.

There's no "data engineer" occupation in the US Bureau of Labor Statistics data. Database architects are the nearest match, so read that row as a proxy rather than a direct measure. BLS lists database administrators separately, at a median of $104,620 for May 2025.

PayScale's US experience data (average total compensation) shows $80,237 for less than one year, $94,096 for 1 to 4 years, $115,663 for 5 to 9 years and $128,289 for 10 to 19 years. Converting these to rupees tells you very little, because living costs and taxes are so different. The shape of the curve is more interesting: on PayScale, India's 10- to 19-year figure is close to five times its fresher figure, while the US ratio is about 1.6.

What Does a Data Engineer Do? Skills That Drive Pay

A data engineer builds and runs the systems that carry data from source applications into a warehouse or lakehouse, where analysts and models can actually use it. On a normal day, that might mean writing an ingestion job, fixing an overnight load that failed, tuning a slow Spark job and agreeing table contracts with the analytics team.

The work falls into three layers, and pay tends to track how many of them you can own:

• Ingestion and ETL: pulling from databases, APIs and event streams with tools such as Azure Data Factory, AWS Glue, Fivetran or Kafka. This comparison of the best ETL tools covers the main options.
• Processing and modelling: Spark or PySpark jobs, dbt models, partitioning and file formats such as Parquet and Delta.
• Orchestration and reliability:Airflow DAGs, data quality checks, cost monitoring and on-call ownership.

Engineers who only write SQL transformations usually end up near the bottom of the ranges above. The ones who get the senior title tend to be those who can tell you what a job costs in cluster time and then bring that cost down.

How to Increase Your Data Engineer Salary?

The most reliable way to raise your data engineer salary is to move up a title band or into a better-paying industry. Both show up in the data above: a "Senior" title adds several lakhs at the same experience, and Software Product firms pay far more than IT services on AmbitionBox.

1. Add a distributed engine and a cloud platform. SQL and Python get you interviews, but PayScale's medians only start climbing once Spark and one of AWS, Azure or GCP are on your CV. If your Python is still shaky, fix that first; Simpliaxis's Python programming trainingis one structured way to do it.

2. Pick one certification that matches your target employer's stack. The details below are current as of October 2026 on the vendors' own pages:

None of the salary sources above publishes a reliable premium for any particular certification. Think of one as a way onto the shortlist for cloud-specific roles, and don't count on it for a raise by itself.

3. Build a portfolio project that looks like real work. A good one pulls a public dataset every day with Airflow, lands it in object storage, transforms it with Spark or dbt, runs data quality tests on the result and finishes in a dashboard. Building that dashboard in Power BI is a useful extra, because it shows you can hand data to the people who actually read it.

4. Switch industry, not just company. Hopping from one IT services firm to another rarely changes your band much. The several-lakh industry gap on AmbitionBox shows up when you move from IT services to a product company, an analytics firm or a bank.

5. Negotiate on fixed pay. Compare offers on fixed CTC rather than total CTC, and ask how much of the variable component was actually paid out last year.

Conclusion

The data engineer salary in India averages ₹12.2 LPA on AmbitionBox, with PayScale and Indeed nearer ₹9.6 to ₹9.7 LPA. The spread between an IT services role and a product company role is wider than the spread between any two cities, so where you work matters more than which city you live in.

Most of the levers are in your hands: a distributed engine, a cloud platform, a portfolio pipeline, and a push toward a senior title or a better-paying industry. If you'd like a structured route into the Python and data handling side of the job, Simpliaxis'sData Science with Python trainingcovers that foundation.