A Data Engineer salary is quite attractive because companies rely on them to manage and organize massive amount of data. In today’s digital world, businesses generate tons of data every day, and without data engineers handling and processing this data would be a mess or difficult. These professionals build data pipelines, maintain databases, and ensure that data flows smoothly so analysts and data scientists can do their jobs efficiently.
A career in data engineering is not only rewarding but also in high demand. With companies focusing more on AI, Machine Learning, and Big Data, skilled data engineers are needed now more than ever. If you know how to work with SQL, python programming language, cloud platforms like AWS, and big data tools like Apache Spark or Hadoop, your earning potential increases significantly.
The data engineer salary depends on experience, location, and the company you work for. In India, freshers can start with a decent package, while experienced professionals earn much higher salaries. Big tech companies like Google, Amazon and Microsoft pay some of the best salaries in this field. In this blog we will be talking about data engineer salary in India, top companies offering competitive pay, and what factors influence earnings in this career.
Who is Data Engineer ?
A data engineer is a highly skilled working professional who designs, builds, monitors and maintains computational systems. Data Engineer ensures and maintains data quality by collecting, storing and processing raw data into useful insights for data analysis. They create robust data pipelines and manage databases by extracting valuable insights from the organization’s raw data.
This involves working with large and complex systems and implementing solutions to handle databases efficiently. Tools used by data engineers are SQL, Airflow, AWS, Apache Spark, Hadoop, AWS, and Azure .
Data Engineer Salary in India
The Data Engineer Salary in India is based on various factors including experience, location, and the industry. Below is the table given that shows the estimated salary-
Data Engineer Salary Based on Experience
| Experience Level | Average Annual Salary (INR) |
| Entry-Level (0-2 years) | ₹5 – ₹10 LPA |
| Mid-Level (3-5 years) | ₹10 – ₹20 LPA |
| Senior-Level (6-10 years) | ₹20 – ₹35 LPA |
| Expert (10+ years) | ₹35+ LPA |
Top Industries Hiring Data Engineers in India
| Industry | Average Annual Salary (INR) |
| IT & Software | ₹8 – ₹25 LPA |
| Finance & Banking | ₹10 – ₹30 LPA |
| E-commerce | ₹9 – ₹28 LPA |
| Healthcare | ₹7 – ₹20 LPA |
| Consulting | ₹8 – ₹22 LPA |
Data Engineer Salary at Top Companies
The table given below is about the information of data engineer salary at top companies in India :
Data Engineer Salary at Top Companies in India
| Company | Average Annual Salary (INR) | Experience Level |
| ₹15 – ₹40 LPA | Mid to Senior | |
| Microsoft | ₹14 – ₹35 LPA | Mid to Senior |
| Amazon | ₹12 – ₹30 LPA | Entry to Senior |
| Facebook (Meta) | ₹18 – ₹45 LPA | Mid to Senior |
| TCS | ₹6 – ₹15 LPA | Entry to Mid |
| Infosys | ₹7 – ₹18 LPA | Entry to Mid |
| Accenture | ₹8 – ₹22 LPA | Entry to Senior |
| IBM | ₹9 – ₹25 LPA | Entry to Senior |
When exploring top-paying roles in the tech industry, then the data engineer salary depends on the company and experience level. Global tech leaders like Google, Microsoft, Amazon, Meta, TCS, Infosys, Accenture and IBM offers some of the most lucrative packages in this role. For mid to senior-level data engineers, Google offers salaries ranging from ₹15 to ₹40 LPA, while Microsoft pays between ₹14 to ₹35 LPA. Amazon provides opportunities across entry to senior levels with salaries between ₹12 to ₹30 LPA.
Meta leads with impressive salary, offering ₹18 to ₹45 LPA. Among Indian IT firms, TCS and Infosys offer data engineer salaries ranging from ₹6 to ₹18 LPA for entry to mid-level roles. Accenture and IBM cover a broader spectrum, paying ₹8 to ₹25 LPA for entry to senior professionals. This data highlights how the data engineer salary varies based on experience and the company’s global footprint.
Conclusion
We have covered data engineering professional salaries in India and also in top companies and comparatively multinational corporations provides highly competitive packages. If we want to seek an elegant package we have to work on several tools and technologies that help you to guide to become a successful data engineer.
Frequently Asked Questions
What is the typical data engineer salary in India?
The data engineer salary in India generally ranges between ₹6 to ₹12 LPA for entry-level positions. With 3–5 years of experience, it can go up to ₹20–25 LPA. Senior professionals working in top MNCs can expect salaries exceeding ₹35–40 LPA, depending on skillset and company.
Which companies offer the highest data engineer salary in India?
Product-based tech giants like Google, Meta (Facebook), Microsoft, and Amazon offer the highest data engineer salaries in India. These companies provide compensation packages ranging from ₹15 to ₹45 LPA for mid to senior-level data engineering roles, far above the industry average.
Does experience affect a data engineer salary?
Yes, experience is a major factor that influences a data engineer salary. Entry-level engineers earn less, but as professionals gain more experience and hands-on skills in big data tools and cloud technologies, their compensation increases substantially.
How does the data engineer salary in India compare to other countries?
While the data engineer salary in India is competitive in the local market, it is generally lower than in countries like the USA, UK, or Germany. However, remote roles and global hiring trends are bridging this gap for skilled professionals.
What skills help increase a data engineer salary?
Skills in tools like Apache Spark, Hadoop, Python, SQL, and cloud platforms (AWS, GCP, Azure) significantly boost a data engineer salary. Certifications and experience with data pipelines, ETL processes, and real-time streaming tools also lead to better-paying opportunities.
