Big Data Engineer Salary: How Much Can You Earn as a Big Data Engineer?

If you have a robust interest in numbers, data, and technology, a career as a data engineer may be right for you. The field is rapidly growing as the need increases for data-driven decision making and insights, making it a highly competitive and lucrative field. 

Several factors affect the average salary for data engineers, not the least of which is the location. After all, some geographic areas have a higher cost of living, while others may have a greater demand for data engineers based on the companies headquartered there. Here, we take a look at reported data engineer salaries from around the world.

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Big Data Engineer Salary in India

The average annual data engineer salary in India is ₹839,565, according to Glassdoor. Many of the country's data engineering jobs are based in Bangalore, with companies like Lookout, IBM, and Autodesk frequently hiring for this position.

Data Engineer Salary in the UK

In the United Kingdom, the average salary for data engineers is £43,725 annually. Shop Direct and Tessian are just a few of the many companies actively looking for data engineers in cities like Liverpool and London.

Big Data Engineer Salary in Toronto, Canada

In Toronto, data engineers earn an average of CA $80K. Several companies in the city are currently looking to fill data engineering roles, including Index Exchange and StackAdapt.

Salary of a Big Data Engineer in the United States

The average data engineer salary in US markets is $116,591. However, this number can vary significantly by state and even by city, as noted below.

  • NYC 

    In New York, salaries average $123,070 per year, which is reportedly six percent above the national average. Major companies and brands like CapitalOne are almost always looking for big data professionals.
  • Los Angeles 

    Falling just slightly behind New York City is Los Angeles, where the average annual salary is $118,122 for data engineers.  Spokeo, CyberCoders, and NEXT are only a few of the companies currently looking to hire data engineers.
  • Seattle 

    In Seattle, the average annual salary for data engineers is $110,479. There are currently several companies looking to add data engineers to their payroll, including Red Ventures and Revel Consulting.

Data Engineer Salary

Data Engineer Salaries in Other Regions

  • According to Payscale, the average salary of a Data Engineer in Australia is AU$103,346.
  • According to Payscale, the average salary of a Data Engineer in Canada is C$80,217.
  • According to Payscale, the average salary of a Data Engineer in Singapore is S$62,648 per year.
  • According to LinkedIn, the average salary of a Data Engineer in Mexico is MX$25,000/yr.
  • According to Indeed, the average salary of a Data Engineer in South Africa is R 591 868/yr.
  • According to Glassdoor, the average salary of a Data Engineer in Spain is € 34,468/yr.
  • According to Glassdoor, the average salary of a Data Engineer in Germany is € 60,632/yr.
  • According to Payscale, the average salary of a Data Engineer in Sweden is 575,961kr/yr.
  • According to LinkedIn, the average salary of a Data Engineer in France is €42,000/yr.

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Big Data Engineer Salaries by Level of Experience and Job Title

Location isn't the only factor when it comes to the average salary of a data engineer. Qualifications, experience level, and official job title also play a role in how much a data engineer can make in a year. In the United States alone, average annual salaries can range quite a bit based on these factors.

For example, an entry-level data engineer salary for a professional based in the United States is $112,555 per year. Junior-level professionals earn an average of $105,435 annually.

Moving beyond this level means more experience, which in turn means more earning potential. Those working as big data engineers take home, on average, $116,591 per year. One of the highest titles in this field is a senior data engineer, which unsurprisingly offers a higher average salary. The average senior salary in the United States is $148,216.

Big Data Engineer Salary: Amazon and Facebook

For many data engineers, working at Amazon or Facebook is the ultimate goal. With the tremendous opportunity for growth, excellent benefits, and generous compensation, it's easy to see why. But what's the average big data engineer salary Amazon offers, compared to what Facebook offers? 

While it depends on the specific role, qualifications, and other factors, Paysa reports that the average salary for a data engineer at Amazon is $139,513 per year, calculated based on the average salaries of 634 Amazon data engineers. The same source reports that the average salary at Facebook is $210,895 annually, calculated based on salaries from 94 Facebook data engineers.

Are you skilled enough for a career as a Data Engineer? Try answering these Big Data and Hadoop Developer Test Questions and find out now.

Become a Certified Data Engineer

No matter where you live, one of the best ways to boost your salary potential is to enroll in a Big Data Hadoop certification course. Simplilearn's Big Data Engineer Master’s Program, co-developed with IBM, can help put you on that path.

The comprehensive program includes seven courses, with certificates from both Simplilearn and IBM for each. The courses lead to a Master’s certificate upon completion, which is provided by both Simplilearn and IBM. Students can test their skills by working on more than a dozen real-world projects by taking the course, giving them an authentic look at a day in the life of a data engineer. Skills taught through the program include the Big Data Hadoop framework, Apache Spark analytics, the Python programming language, and the MongoDB database. It's suitable for all skill levels, and while it's not a requirement, it's helpful to have some knowledge of SQL and other conventional data technologies.

Take your data engineering career to the next level by earning your certification today!

About the Author


Simplilearn is one of the world’s leading providers of online training for Digital Marketing, Cloud Computing, Project Management, Data Science, IT, Software Development, and many other emerging technologies.

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