Data Engineer

Booz Allen HamiltonMarine Corps Base Camp Lejeune, NC
$77,500 - $176,000Remote

About The Position

As a 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 workflows 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 analytic solutions for your clients.

Requirements

  • 3+ years of experience utilizing programming and querying languages, including Python, R, Scala, or SQL
  • 3+ years of experience developing and maintaining data applications for reporting and analytics
  • 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
  • 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Secret clearance
  • Bachelor’s degree

Nice To Haves

  • Experience with Maven Smart Systems tools such as Foundry
  • Experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
  • Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience working within a Combatant Command or other DoD organization
  • Experience with Agile engineering practices
  • CompTIA Security+ Certification

Responsibilities

  • Implement data engineering activities on mission-driven projects.
  • Deploy and develop pipelines and workflows that organize and make disparate data meaningful.
  • Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
  • Manage the assessment, design, building, and maintenance of analytic solutions for clients.

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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