Special Missions Data Engineer

Booz Allen HamiltonVirginia Beach, VA
$77,500 - $176,000Remote

About The Position

As a data engineer, you know that organizing 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 data to impact important missions, from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you’ll help build advanced technology solutions and 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 data for good. Join us. The world can’t wait.

Requirements

  • Experience developing and maintaining ETL and ELT processes from various sources, ensuring data quality and consistency across systems
  • Experience building data pipelines for batch and streaming workflows
  • Experience with software development, including API development, managing databases, and developing software architecture for containerization tools such as Docker or Kubernetes
  • Experience with programming languages such as Python and SQL, for processing, scripting, automation, and optimization
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to travel internationally up to 25% of the time
  • Ability to travel CONUS up to 25% of the time
  • TS/SCI clearance
  • HS diploma or GED

Nice To Haves

  • Experience with Palantir Foundry
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
  • Experience with Docker and Kubernetes
  • Experience implementing CI/CD best practices
  • Knowledge of artificial intelligence principles and practices
  • Bachelor's degree

Responsibilities

  • Deploy and develop pipelines and platforms 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 scalable platforms 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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