At the MIT Sloan CIO Symposium on May 22, John Roese, the CTO of technology company EMC, was one of several IT executives to cite the need for skilled data pros.
“When it comes to analytics, there’s not a large talent pool. The actual tools are new. It’s a challenge to find 1,000 Hadoop experts,” Roese said. “They just aren’t available.”
It’s no secret that professionals with skills related to big data and analytics technologies are in demand now and in the immediate future. And strong demand for talent usually means higher salaries.
But getting beyond that basic economic equation, what specific analytics skills or areas of knowledge are commanding the highest salaries?
According to technology jobs and career site Dice.com, Hadoop skills are most in demand among enterprises seeking analytics talent, with the average annual salary for an analyst with Hadoop skills averaging $115,062.
The more generic “big data” job category averages $113,739 a year, while jobs in the Linux category average $90,853, Dice.com reports. Compare that to the $85,600 average salary across all tech categories (according to the latest Dice Salary Survey), and it’s clear that demand for workers with analytics-related skills is extremely robust.
But Dice says hiring managers typically want candidates with Hadoop experience to also have additional skills.
“The number one combination by a large margin,” writes Dice.com’s Howard Lee, is “Hadoop and Java—not too surprising given it’s a Java-based framework.”
Second among specific skills demanded by hiring professionals of Hadoop pros is NoSQL. The Dice Salary Survey reports that professionals with Hadoop, NoSQL and MongoDB experience all have annual salaries “north of $100,000,” Lee says.
Following NoSQL, the skills most in demand among hiring pros seeking candidates with Hadoop are Map Reduce, Pig and Hive.
Dice.com gathered the data through Open Web, the company’s new service that compiles social profile information from millions of professionals to create aggregate profiles. Though Dice designed Open Web for enterprises seeking tech talent, the job site also uses it to track skills trends that may be below the surface.
“Companies are beginning to understand there is huge value locked away in their data,” says Lee, who is chief architect of Open Web. “Big data professionals that can help companies leverage these assets to better understand their customers are seeing increasing demand for their skills. This trend is set to continue as big data technologies continue their path towards mainstream adoption.”
Gathering additional salary data for positions requiring Hadoop and another tech skill is difficult at this point, says Dice.com spokesperson Rachel Ceccarelli.
“Big data is a newer category and there aren’t a lot of tech professionals with some of these skills, let alone the combo, which is why they’re so in demand,” she says. “We don’t have a large enough population to draw from for salaries yet.”
As for which industries are most eager to hire big data professionals, Ceccarelli says it’s a long list.
“We know that companies in online retail, financial services, software, and telecommunications are all looking for tech talent with Hadoop and big data experience,” she says. “It’s hard to say which industry is tops, but it’s clear that as firms continue to analyze large quantities of data, big data talent will be in demand.”
Nonetheless, one big takeaway from Dice’s data is that of the four horsemen of technological transformation – mobile, cloud, social and data – those professionals with data skills are being paid the most. Average salaries for technologies associated with cloud and virtualization are just under $90,000, while mobile salaries are close to $80,000, Dice says.
Another jobs site, Indeed.com, also shows high pay for big data professionals. A search on “Hadoop” shows an average salary of $107,000, while a search on “NoSQL” shows an average salary of $100,000.
Here are some average salaries from Indeed.com for jobs requiring Hadoop and another skill:
• Hadoop and Java: $103,000
• Hadoop and NoSQL: $107,000
• Hadoop and MongoDB: $118,000
• Hadoop and Map Reduce: $84,000
• Hadoop and Pig: $107,000
• Hadoop and Hive: $109,000