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Chief Data Engineer in McLean, VA at Booz Allen Hamilton Inc.

Date Posted: 12/12/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    McLean, VA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    12/12/2018

Job Description

Job Number: R0040201

Chief Data Engineer

Key Role:
Work as the data chief engineer, including leading and working alongside teams of architects, engineers, and analysts that are turning complex data sets into useful information that enables defense and intelligence analysts to accelerate “Data to Decision” in today’s highly complex and dynamic threat environment. We have an opportunity for you to use your leadership and analytical expertise to improve the defense and intelligence communities. You’ll work closely with our clients to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. As the chief engineer, you’ll have an opportunity to mentor teammates, develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn disparate data into meaningful answers that help military leaders make informed decisions. You’ll architect and engineer capabilities that provide our clients with a deep understanding of their data, what it means in the context of their mission, and how to inform decision makers that drive Warfighter operations. Join us as we apply artificial intelligence to support the mission of our warfighters.
 

Basic Qualifications:
-10+ years of experience in data engineering and architecture with structured or unstructured multi-intelligence disparate data and sources
-6+ years of experience with Big Data architectures, technologies, processing, and computation, including one or more of the following: Accumulo, Spark, Storm, Kafka, or MapReduce
-5+ years of experience with designing novel data analytic methods and workflows, including full data pipelines from raw data through analysis results
-4+ years of experience with architecting, designing, and building defense or intelligence mission systems 
-3+ years of experience with applying data engineering support to machine learning systems and techniques
-Experience with programming languages, including Java, Go, Python, R, or C++
-Experience with using a machine learning framework, including TensorFlow, Caffe, Keras, and SparkML
-Ability to leverage a wide variety of data science capabilities and languages and exhibit flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations
-Ability to obtain a security clearance
-BA or BS degree in a Science, Technology, Engineering, or Mathematics field
 

Additional Qualifications:
-Experience in working with high performance computing (HPC)
-Ability to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks
-Active Secret clearance 
 

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 

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