Cyber Data Engineer

Booz Allen Hamilton
Job Overview

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 artificial 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 useful 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 use your analytical skills to improve strategic innovation for the federal government. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help federal health organizations make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the federal government.
Empower change with us

You Have:

2+ years of experience with developing data-centric software systems to support data engineering tasks
Experience with designing, developing, and deploying capabilities to support cyber operations
Experience with common programming languages, including Python, Scala, Java, and R
Experience with extraction, transformation, and load (ETL) operations, methods, and tools
Experience with Agile methodology
Top Secret clearance
HS diploma or GED

Nice If You Have:

Experience with developing and maintaining CI/CD pipelines leveraging automation tools, including Jenkins
Experience with leveraging emerging technologies to improve automation and integration for development teams
Experience with developing data pipelines to support the deployment of machine learning and artificial intelligence capabilities
Experience with designing, developing, and deploying machine learning capabilities
Experience with Git technologies
TS/SCI clearance
MA or MS degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret 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 Splunk
a chance to change the world with the Data Science Bowl-the world’s premier data science for social 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 technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house 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 characteristics-to fearlessly drive change.Cyber Data Engineer 1

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