Data Engineer, Mid

Booz Allen HamiltonWashington, DC

About The Position

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

  • 2+ years of experience with major data science languages such as Python and R
  • 2+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, or SQL
  • Experience with Large Language Models (LLMs) and Generative AI (GenAI)
  • Experience preparing data for use with AI or GenAI models
  • Experience with data analytics, data mining, statistical analysis, or AI and ML
  • TS/SCI clearance with a polygraph
  • Bachelor’s degree and 3+ years of experience in data engineering, or 7+ years of experience in data engineering in lieu of a degree

Nice To Haves

  • Experience streamlining existing workflows by integrating LLMs and GenAI
  • Experience conducting data architecture and ETL for the DoD or a federal agency
  • Experience evaluating AI and ML model performance
  • Experience with intelligence analysis

Responsibilities

  • Build advanced technology solutions
  • Implement data engineering activities
  • 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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service