Data Engineer, Mid

Booz Allen HamiltonMclean, VA
15d$62,000 - $141,000

About The Position

The Opportunity: Ever-expanding te chn ology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use big data for good. Join us. The world can’t wait.

Requirements

  • Experience with SQL, Java, or Python and Spark
  • Experience in working with highly structured data
  • Ability to manipulate data across different tables
  • Knowledge of different data types and the different sources of data
  • Knowledge of modeling and how to make that data usable for meeting mission requirements
  • TS/SCI clearance with a polygraph
  • Bachelor's degree

Nice To Haves

  • Experience with advanced data modeling, including entity resolution

Responsibilities

  • implement data engineering activities
  • deploy and develop pipelines and platforms that organize and make disparate data meaningful
  • manage the assessment, design, building, and maintenance of scalable platforms

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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