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Big Data Jobs: Careers That Make Our World Go Round

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Hiring Leftronic Dev
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Hiring Leftronic Dev
Leftronic jobs
New York
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Hiring Leftronic Dev
Leftronic jobs
New York
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Hiring Leftronic Dev
Leftronic jobs
New York
Tag title Tag title Tag title
Icon Featured
icon 1 day ago
Hiring Leftronic Dev
Leftronic jobs
New York
Tag title Tag title Tag title Tag title Tag title Tag title
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Hiring Leftronic Dev
Leftronic jobs
New York
Tag title Tag title Tag title Tag title
Icon Featured
icon 1 day ago
Hiring Leftronic Dev
Leftronic jobs
New York
Tag title Tag title Tag title Tag title
Icon Featured
icon 1 day ago
Hiring Leftronic Dev
Leftronic jobs
New York
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Hiring Leftronic Dev
Leftronic jobs
New York
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Frequently Asked Questions

What are the jobs in big data?

There are plenty of jobs in the field of big data, with the most commonly known (and lucrative) ones being:

  • Data scientist
  • Big data engineer
  • Data architect
  • Data analyst
  • Database manager
  • Business intelligence analyst

Is big data in demand?

Very much so. The job posting site Indeed has over 46,000 openings for big data positions in the US alone. The current demand isn’t going anywhere either, as the big data market is projected to reach $96 billion by 2026 and create over 500,000 new jobs in the field by 2028. If you’re considering careers in data mining or analytics, now is definitely the time to get in on the action.

Does Big Data pay well?

Yes, most big data positions, especially senior ones, are extremely lucrative. The average yearly salary for big data positions is $130,000, which translates into $62.5/hour.

Is big data easy to learn?

Yes and no. While you could land an entry-level data analyst position with some knowledge of SQL databases, Excel, and basic programming, advanced positions are somewhat demanding and usually require at least a BA in computer science. As for the other skills, most positions require you to be good at data visualization, mining, and familiarity with various tools and frameworks such as Apache, MySQL, Oracle, Hadoop, and so forth.