Next Tier Concepts, Inc.

  • Data Engineer (all Levels)

    Job ID
    Job Post Information* : External Company URL
  • Overview

    Who We Are

    We’re NT Concepts, a leading provider of business and technology solutions for the intelligence and national security communities! Our team of engineers, subject matter experts, and data scientists provide experienced, high-quality Information Technology (IT) and cybersecurity engineering and innovation support. We do that by working with some complex clients on their hardest challenges. Clients with massive, complex data sets. So we get to keep learning, building, and keeping our skills sharp. And since life’s too short to spend with difficult people, we hire team members that not only like to solve problems, but that we like so hang out with. That's important.




    And… Why We’re Both Here - This “Job” Thing

    Here it is: we have some opportunities. And we’d like to get to know some more amazing people, that might want to talk about that. People like you. Since you’re reading this, and the title’s “data engineer”, we’re thinking you might be a little interested. Very cool.


    We love engineers who find data fascinating. AI is cool, but it doesn't happen without squeaky clean data, and that's why we need you. We've got some tricky time-series data on this particular project and are looking for creative minds to wrangle it! 


    Who You Are

    Okay, beyond the basics (you solve problems, and are generally nice), we’re looking for a few skills. Less concerned with the specific technologies (great engineers can learn new tech as it emerges), more about horsepower.. That said, here are a couple bullets, things we look for:


    • You know your way around a cloud console and have handled some pretty large volumes of data (time-series a plus!).
    • You have support AI/ML/deep learning projects before
    • Ultimately, we need someone who knows their way around data modeling, data transformation, information extraction, and/or statistical analysis.


    You tell us your technologies of choice for data wrangling (MATLAB, R, python, Spark ... we aren't picky!)


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