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Data Engineer


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Location: San Antonio TX

Company Name: Booz Allen Hamilton

Occupational Category: 15-1132.00,Software Developers, Applications

Date Posted: 2020-02-12

Valid Through: 2020-03-13

Employment Type: FULL_TIME

Description:

Job Number: R0072189

Data Engineer
The Challenge:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artifi cia l intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into us eful information to solve global challenges. Across private and public sectors - from fraud detection to cancer research, to national intelligence - you know the answers are in the data.

We have an opportunity for you to us e your analytical skills to improve the way the DoD protects the United States in cybersecurity. You'll work closely with your c us tomer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll develop algorithms, solve complex problems, build predictive analytics, us e automation, apply machine learning, and us e the right combination of tools and frameworks to turn that set of disparate data points into insights that help the Air Force make informed decisions. You'll provide your c us tomer with a deep understanding of their data, what it all means, and how they can us e it. Join us as we us e data science for good in cybersecurity.

Empower change with us .

You Have:

-1+ years of experience with designing and implementing machine learning, data mining, statistics, or graph algorithms in an academic or professional work environment

-1+ years of experience with programming in Python or R

-Experience with us ing Logistic Regression, Support Vector Machine ( SVM ) , Decision Tree, and Random Forest

-Experience with data and cloud engineering

-Experience with cloud computing services

-Ability to thi nk creatively to develop innovative solutions in a team environment

-TS/SCI clearance

-AA or AS degree

Nice If You Have:

-Experience with us ing virtual machine environments

-Experience with High Performance Computing ( HPC )

-Experience with developing solutions us ing Amazon Web Services ( AWS )

-Knowledge of Big Data stacks, including ELK, Spark, or Hadoop

-BS degree in CS, Mathematics, Engineering, or related te chn ical field preferred; MA or MS degree a pl us

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Build Your Career:

At Booz Allen, we know the power of analytics and we're dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:

- access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splu nk

- a chance to change the world with the Data Science Bowl-the world's premier data science for so cia l good competition

- participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute ( DLI ) training to the federal government

You'll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and te chn ical courses, certifications, and books. Build your te chn ical skills through hands-on training on the latest tools and state-of-the-art tech from our in-ho us e experts. Pursuing certifications? Take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We'll help you develop the career you want, as you chart your own course for success.

We're an EOE that empowers our people-no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic-to fearlessly drive change.

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