Booz Allen Hamilton-posted 9 days ago
Full-time • Mid Level
Chantilly, VA
1-10 employees

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.

  • 5+ years of experience in Spark development
  • 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
  • 5+ years of experience with big data and building ETL pipelines to efficiently process petabyte scale data
  • Experience with modeling complex data structures of varied formats
  • Experience with distributed data and computing tools including Spark, AWS or Kafka
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
  • TS/SCI clearance with a polygraph
  • Bachelor’s degree
  • Experience with Python, SQL, or Java
  • Experience with UNIX / Linux, including basic commands and Shell scripting
  • Experience with cloud infrastructure
  • Experience with NoSQL implementation such as Cassandra
  • Experience with relational database implementation such as Postgres
  • Experience with Agile engineering practices
  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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