Cybersecurity AI Data Engineer

The Challenge:

Serve as part of Booz Allen Hamilton’s data science consulting practice and work on transformative engagements for clients in the public and private sector and across industries, helping clients build a full range of Cybersecurity and data science capabilities. Work closely with our clients and our data scientists to acquire, transform, and construct features to feed into our modelling approach to create an impact. You’ll guide our clients through data science solutions to transform their businesses and enhance performance across industries.

We are looking for a data engineer with full stack experience who will be responsible for assessing complex new data sources and quickly turn these new data sources into business insights. This is a hybrid of client-facing and technical role, working on problem sets using state of the art technology, whilst also being able to communicate complex ideas to non-technical audiences. You’ll help develop and support data pipelines to source, acquire, ingest, and process data from multiple sources and systems into Big Data platforms. You’ll maintain and enhance data infrastructure and analytical solutions. You’ll have the opportunity to collaborate with data scientists to map data to hypotheses and prepare data advanced analytical models. You’ll help review and analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value. We are looking for a data engineer who shares a passion for tackling complex problem and experience building robust data analytics solutions. You’ll get to experience a steep learning curve and work in a dynamic start–up environment with multicultural, cross–functional teams to harness data and provide real-world impact to our clients.

Empower change with us.

Build Your Career:

Rewarding work, fun challenges, and a ton of investment in our people—that’s Booz Allen Cyber. When you join Booz Allen, we’ll help you develop the career you want.

Competitions — From programming competitions at our PyNights (Python competition and learning events) to competing in CTFs, we’ve got plenty of chances for you to show off your skills.

Paid Research — Have an innovative idea to explore or hypothesis to test? You can participate in challenges via our crowdsourcing platform, the Garage, and other programs to be awarded dedicated time and/or funding to advance your skills.

Cyber University — CyberU has more than 5000 instructor-led and self-paced Cyber courses, a free online library that you can access from just about anywhere—including your phone—and certification exam prep guides that include practical assessments to prepare you for your exam.

Academic Partnerships — In addition to our tuition reimbursement benefit, we’ve partnered with University of Maryland University College to offer two graduate certificate programs in Cybersecurity—fully funded without a tuition cap.

Maker/Hackerspaces — Race drones, print 3D gadgets, drink coffee from our Wi-Fi coffee maker, and get hands-on training on tools and tech from in-house experts in our dedicated maker and hackerspaces.

You Have:

-4+ years of experience as a data engineer or software engineer

-Experience in all stages of artificial intelligence (AI) and extract, transform, load (ETL) life cycle, including deploying, maintaining, and monitoring machine learning models at scale

-Experience with Big Data technologies, including Hadoop and Spark eco-system

-Experience with infrastructure automation tools, including Kubernetes, Mesos, Terraform, Ansible, and container applications, such as Docker and Rocket

-Experience with development in Python, Java, or Scala

-Experience with DevOps techniques to build continuous integration (CI) solutions using Jenkins, Travis, Git, Gradle, and Maven

-Experience with MySQL, Mariadb, MongoDB, and Redis

-BA or BS degree or BE degree in CS or Computer Engineering

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.

#LI-AH1, CJ1

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