Software Engineer Versus Data Engineer’s Salary

Software Engineer Versus Data Engineer’s Salary
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Salary Comparison Between Software Engineers and Data Engineers in the Tech Sector

Software engineering and data engineering are two of the most popular and lucrative careers in the IT industry. Both roles involve working with data and technology, but they have different focuses and responsibilities. Software engineers create software applications and systems, while data engineers build data pipelines and architectures. In this article, we will compare the software engineer versus data engineer salary, and explore the factors that affect their earnings.

Software engineers use a variety of programming languages and tools to design, build, and manage software products while adhering to engineering standards. They work on a variety of software platforms, including operating systems, databases, and web and mobile apps. Data infrastructure construction is the area of expertise for data engineers, a subset of software engineers. Using tools like databases, data warehouses, and cloud platforms, they gather, store, process, and analyze vast amounts of data to build data pipelines that support data-driven decision-making.

Software Engineer Salary

Indian software engineers will make, on average, ₹685,648 in 2024, according to PayScale. The pay range, however, might differ based on several variables, including:

  • Experience: A software developer may command a better compensation the more experience they have. For instance, the average salary for a junior software engineer with less than a year of experience is ₹499,702, but the average salary for a senior software engineer with more than five years of experience is ₹1,200,000.

  • Skills: A software engineer's ability to seek a greater compensation increase with their skill set. Software engineers who are skilled in Python, Java, C#, C++, or JavaScript, for instance, can make more money than those who are just familiar with HTML and CSS. Similarly, software developers can make more money than individuals without an understanding of frameworks like React, Angular, Django, Spring, or Laravel.

  • Location: Software engineers may receive different salaries depending on where they work. In comparison to their counterparts in smaller cities or towns, software engineers in major cities like Bangalore, Mumbai, Hyderabad, or Delhi might make significantly more money. This is a result of these locations having greater living expenses and more demand for software developers.

Data Engineer Salary

In India, a data engineer would typically make ₹10.8 lakhs in 2024, according to AmbitionBox. But depending on several variables, including the following, the pay range might be anywhere from ₹3.4 lakhs and ₹21.0 lakhs. 

  • Experience: A data engineer's ability to command better wages increases with experience. A senior data engineer with over five years of experience may make an average of ₹18.9 lakhs, whilst an entry-level data engineer with less than a year of experience can make an average of ₹6.5 lakhs.

  • Skills: A data engineer might demand greater compensation the more expertise they possess. Experts in SQL, Python, Java, Scala, or R, for instance, can make more money as data engineers than those who are limited to SAS or Excel. In a similar vein, data engineers with expertise in platforms like Hadoop, Spark, Kafka, Hive, or AWS may make more money than those without.

  • Location: A data engineer's compensation may also vary depending on where they work. For instance, data engineers in major cities like Delhi, Hyderabad, Bangalore, Mumbai, or Hyderabad may make more money than their counterparts in smaller towns or cities. This is because these locations have higher living expenses and a greater need for data engineers.

Software Engineer Versus Data Engineer Salary: A Comparison

Both AmbitionBox and PayScale indicate that data engineers in India usually make more money than software engineers. But while picking a job, pay isn't the only thing to take into account. Opportunities, aptitude, education, and interests are all important. The prestige of the organization, experience, and talents may all affect a worker's pay. A very competent software engineer, for example, may make more money than a mediocre data engineer. In a similar vein, a data engineer in a prestigious corporation may make more money than a software engineer at a smaller one. Take into account particular job offers that are pertinent to your profile on websites like Naukri, Indeed, Glassdoor, or Springboard to fairly compare salaries.

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