There are lots of factors that determine how big data professionals or big data engineers or big data scientists can be paid. Their salary is affected by the level of experience, the location in which they work and even the industry they work in.
Salaries for big data experts vary widely, depending on factors such as the size of the company, the industry, and the experience of the employee. For example, an entry-level candidate with no experience can expect to make around $50,000 per year. An experienced candidate with a high level of education will earn more than $100,000 per year.
Big data salaries are also dependent on what type of work you do. Analysts who use big data to make predictions about business trends can expect to make more than programmers who create algorithms that crunch numbers.
Some companies offer bonuses or stock options in addition to base salaries.
Salary for big data
The Insight graphic presented below is a DASCA projection of the global average salaries per annum in the Big Data space. Indeed, as expected, there are wide-ranging variances across geographies and recruiter levels, and hence what we have presented here are ranges of salaries to be expected. These figures here are a result of extensive DASCA studies over the past five years on Big Data compensation trends worldwide, combined with several other equally invaluable surveys researches and analysis featured in the newsletters, papers, blogs, and websites of organizations and platforms like the Information Week, KD Nuggets, McKinsey Leadership Institute, BurtchWorks, Accenture, Glassdoor, and Data Jobs.
It is highly recommended that the figures presented here should be treated only as indicative of the most likely trends in salaries, rather than be interpreted as absolute facts, which anyways, a range may never be.
