Data Engineer Salary: In India, For Freshers, Per Month, In TCS, In Google, 2 Years Experience

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Ahana Bhaduri

Content Writer | Updated 3+ months ago

The demand for skilled Data Engineers is on the rise because of the growing number of businesses investing in big data and analytics in India. Data Engineers are responsible for designing, testing and maintaining data systems that collect and process data from different sources. A Data Engineer earns an average salary of INR 8.0 LPA in India, with the highest salary being INR 21 LPA.

To become a Data Engineer, students can opt for various Data Engineering courses after class 12 which are offered at both graduate and postgraduate levels. B.Sc, BCA, M.Sc, M.Tech and MCA in Data Science are some of the most famous courses. Top colleges like VIT, Christ University, Amity University, MCC, etc offer admissions to their data science courses on the basis of examinations like GATE and JEE Main.

Data Engineer Salary in India

The average salary of a Data Engineer in India is INR 8 LPA while the starting salary of a Data Engineer is INR 3.50 LPA. The highest salary of a Data Engineer is INR 21 LPA. The estimated monthly salary for Data Engineers in India is around INR 59,000 to INR 60,000. Data Engineers with experience of up to 4 years earn INR 7.30 LPA. In India, the Data Engineer's salary sees a rise with the designation and experience. Senior Data Engineers and Lead Data Engineers are the ones earning the most with a salary ranging between INR 16 LPA to INR 21 LPA.

Data Engineer Salary: Experience Wise 

Experience is one of the most important factors affecting Data Engineer salaries. Candidates with experience are paid more because of the skills and experience they bring to a company compared to a fresh Data Engineer. 

The following table highlights the Data Engineer salaries based on years of experience.

Experience Years Average Annual Salary (INR)
0 - 5 years 6.30 L
6 - 10 years 12.40 L
11 - 15 years 13.50 L
16 - 20 years 21 L

Data Engineer Salary: Designation Wise

Data Engineers play a crucial role in organisations working with large amounts of data, and hold a variety of job titles and responsibilities. Different designations require different skills which impact the salary. Data Engineer salary according to top designations is mentioned in the following table.

Designations Average Annual Salary (INR)
Lead Engineer 25.60 L
Software Engineer 5.50 L
System Engineer 4.40 L
DevOps Engineer 6.40 L
Project Engineer 4 L
Associate Software Engineer 4.30 L
Senior Engineer 6.10 L
Software Development Engineer 9 L

Data Engineer Salary: Skill Wise 

Data Engineers help organisations in making efficient data-driven decisions by developing and maintaining data infrastructure. It is important to understand the relationship between skills and salary as Data Engineers possess a variety of skills like Python, SQL, Hadoop, coding, etc. The salary for Data Engineers varies according to skills also which is mentioned in the table below.

Skill Sets Average Annual Salary (INR)
SQL 4.10 L
Big Data 8 L
Spark 6.60 L
Hadoop 5.50 L
Agile 8 L
Data Warehousing 6.30 L
SCALA 8.80 L
ETL 5.80 L
Coding 1.10 L
Analytics 5.70 L

Data Engineer Salary: Qualification Wise 

Qualification plays a huge role in determining the salary of a Data Engineer. Individuals with full-time degrees in Data Science are expected to get better pay because of the knowledge and skills they possess compared to individuals with short-term courses. The salary that a Data Engineer can command vary based on the qualifications.

The following table highlights the salaries of Data Engineers at different qualification levels.

Degree Pursued Average Annual Salary (INR)
Diploma 3.37 L
Bachelors 5 L to 8 L
Masters 12 L
PhD 70 L

Data Engineer Salary: Company Wise 

Many companies in India hire Data Engineers on a regular basis for various data-driven roles and operations. The table below highlights the salary of some of the top recruiters of Data Engineers in India.

Name of the Companies Average Annual Salary (INR)
Reliance Industries 8.20 L
RG Technosolutions 4.30 L
Grasim Industries 18.50 L
Honeywell UoP 8.82 L
Nirma 9 L

Data Engineer Salary: City Wise

Location acts as an important factor for determining the salaries of Data Engineers in India. Individuals residing in urban areas are expected to get better pay than individuals from semi-urban areas. Delhi is the best city in India for Data Engineers as it is projecting an average annual salary of INR 8,00,000. 

Data Engineer salaries from some of the top Indian cities are mentioned in the table below.

Name of the Cities Average Annual Salary (INR)
Chennai 6.50 L
Kolkata 7 L
Mumbai 7 L
Ahmedabad 6.30 L
Delhi 8 L

Data Engineer Salary: Country Wise

Data Engineers are in high demand in various industries worldwide because of the vital roles they play in streamlining an organisation’s processes. Students can opt for working in countries other than India also after completing their education in Data Science. 

The top countries with good pay for Data Engineers are mentioned in the table below.

Name of the Countries Average Annual Salary (INR)
UK 50.22 L
USA 94.55 L
Canada 75.22 L
Australia 96.8 L

Data Engineer Salary: FAQs

Ques. What is the monthly salary of a Data Engineer in India?

Ans. Data Engineers are expected to earn INR 59,000 to INR 60,000 per month in India.

Ques. Name some top companies that hire Data Engineers in India.

Ans. TCS, IBM, Accenture, Cognizant, L&T Infotech, Infosys, Wipro, Reliance Industries, Honeywell UoP, etc are some of the best companies for Data Engineers in India.

Ques. Which city is offering the best pay to Data Engineers in India?

Ans. With an average annual salary of INR 8,00,000, Delhi is the best city for Data Engineers in India.

Ques. How much a DevOps engineer is earning in India?

Ans. A DevOps engineer earns around INR 49,000 to INR 50,000 per month in India.

Ques. What skills are required to become a Data Engineer in India?

Ans. Students need to have good skills in programming in Python, SQL, Java and SCALA for Data Engineer jobs in India. They should also have a strong understanding of distributed systems like Hadoop and Spark. A good knowledge of cloud computing platforms like Azure and relational databases like MongoDB is also important.

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