Data Engineer, Mid

Booz Allen Hamilton•Usa, DC

3d•Remote

About The Position

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. 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

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

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.