A recent survey by O’Reilly found devs who are versed in open source or commercial big data tools and languages can make a pretty penny. Devs can expect to earn up to $150,000 annually – the biggest earners are those who can work with multiple “open” tools.
The survey, entitled 2013 Data Science Salary Survey: Tools, Trends, What Pays (and What Doesn’t) for Data Professionals, was co-authored by John King. In researching big data dev salaries, King first uncovered and defined two main groups or “clusters” of tooling skills.
One cluster is comprised of next-gen “open” big data technologies and languages. The survey called this the Hadoop (“open”) cluster.
The other cluster is comprised of a blend of commercial and more traditional data tools, such as Excel, Windows and SQL. The survey called this the Excel/SQL (“commercial”) cluster.