A data engineer salary is quite attractive because companies rely on them to manage and organize massive amounts 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. 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, 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.
What is a 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 salary of a data engineer 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 |
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.