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Looking to make the largest bucks in the quickest growing industry?
There are two crystal clear — albeit unsurprising — commonalities among the top 10 highest paying jobs in the tech industry. If you want to cash in the biggest checks, you have to:
    Step 1: Become a killer programmer or big data expert.
    Step 2: Move to the West Coast.
     Folks who know how to handle, parse and analyze an overwhelming amount of knowledge will get the fattest paychecks in 2015 — of the highest paid jobs are centered on giant knowledge. They dug in to the CyberCoders database of hundreds of thousands of job postings to find the average salaries of technology-related jobs. Here are the highest paying jobs and the cities in which they are located.

    1. Data Scientist | $150,000 | Seattle, Washington

     Data scientists are some of the costliest and coveted professionals around today. "It’s important to note that knowledge mining as it relates to knowledge science is not historicallyin the past taught in university-level computer science curricula," says Ray Bao, knowledge scientist at CyberCoders.
    While there's new, in-demand programs, like UC Berkley’s Masters of Knowledge and Knowledge Science,
    "oftentimes, what is taught in academia pales in complexity to real-world issues," Bao says.
    So what’s the path to becoming a money-making knowledge science professional? This infographic by Knowledge Camp breaks down the typical background and necessary hard skills: According to the graphic, the core set of skills you need to learn centers heavily on statistics and mastering the appropriate programming tools, including Python and R, as well as database querying language SQL.
    But that’s not all; knowledge science requires deep analytical thinking and creativity. Knowledge scientists ought to be able to not only solve complex issues through knowledge mining but also ask the right questions to extract significant conclusions about the knowledge, Bao says.
    Bao suggests subscribing to Revolution Analytics to stay abreast of using open source R for large knowledge analysis in addition to browsing Stack Overflow to learn and help other developers

    2. Data Engineer | $148,000 | Mountain View, California

    While information scientists are charged with extracting meaning from huge amounts of information, information engineers are usually specialists in formatting datasets, which allows other folks or stakeholders to analyze that information.
    Similar to information scientists, information engineers need to be well-versed in information manipulation techniques. Information engineers who can build & maintain heaps of information are valuable to companies that use this information to gain a competitive edge.
    "They will likely work with Hadoop, MapReduce, Storm & all the other giant information technologies out there, depending on the needs of the project," Bob Moore, CEO of RJ Metrics, a giant analytics firm, says. "Because this field changes quickly, it is critical to have experience working with a given expertise, to have mastered core engineering skills & to be able to learn quickly."

    3. Ruby on Rails Developer | $147,000 | Silicon Beach, California

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    IMAGE: FLICKR, YURI SAMOILOV
     Ruby on Rails developers in the SoCal area are getting the largest bucks for programming in the nation. Aspiring Ruby on Rails professionals ought to check out Code School. As with any other know-how language, practice is critical to becoming a master.
    So what are you expected to know? Having a powerful understanding of the basics, including Ruby language, is important to build on a solid foundation.
    According to Joseph Biscan of Infinum, it’s a language that someone can start learning. They offers some helpful resources in his weblog, including Programming Ruby, a tutorial book on learning Ruby as well as Rails guides

    4. Machine Learning Engineer | $131,000 | San Francisco, California

     Machine learning as it relates to artificial intelligence is an fascinating field that focuses on developing complex programs that enable computers to teach themselves to grow. Ubiquitous examples of machine learning are Google’s web search, spam filters & self-driving cars.
    "Machine learning is the science of getting computers to learn without being explicitly programmed," says Sebastian Thrun, professor of computer science & director of the artificial intelligence laboratory at Stanford University, according to Gigaom.
    To master this specific skill set, again, it’s crucial to have a solid mastery of Python & R for statistical programming. Overall, machine learning is an important tool for manipulating giant information in a useful, profitable way.

    5. Android Engineer | $131,000 | Mountain View, California

     As mobile adoption is usually ubiquitous these days, with users spending an average of two hours and 42 minutes per day on mobile devices, it’s not a large surprise to see Android engineers make the top most profitable tech careers. (For lovely measure, iOS engineers were among the top ten.)
    This is perfectly in line with our 2014 study, revealing that Android is outpacing iOS in terms of job demand, as Android-supported platforms have skyrocketed over the last couple years.
    To start mastering Android skills, it’s crucial to have a lovely understanding of Java as well as XML and OOP to render configurations and generate the UI.

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