Data Engineer, Mid — GenAI & DoD (TS/SCI)

Booz Allen Hamilton; Washington (District of Columbia); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer, Mid to support mission-driven projects involving data engineering, AI/GenAI, and scalable data platforms. You will design and deploy pipelines, collaborate with analysts, developers, and data consumers, and help turn data into actionable insights for national security and other critical missions.

The role emphasizes building robust data architectures, integrating structured and unstructured sources, and ensuring data readiness for AI models within

Qualifications

• 2+ years of experience with Python and R.
• 2+ years of experience retrieving, merging, and analyzing data from APIs and databases using Python, R, or SQL.
• Experience with Large Language Models (LLMs) and Generative AI (GenAI).
• Experience preparing data for AI/GenAI models.
• Experience with data analytics, data mining, statistics or AI/ML.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree and 3+ years of data engineering, or 7+ years of data engineering in lieu of a degree.

Responsibilities

• Build and deploy data pipelines and platforms that organize disparate data for clients.
• Guide a multidisciplinary team of analysts, data engineers, and developers in a fast-paced environment.
• Manage assessment, design, building, and maintenance of scalable data platforms for clients.

Skills

Python

R

SQL

APIs

LLMs

GenAI

Data analytics

Statistical analysis

Security clearance

Education

Bachelor’s degree in data engineering or related field

7+ years of data engineering experience in lieu of a degree

Tools

Python

R

SQL

Job description

Booz Allen Hamilton is seeking a Data Engineer, Mid to support mission-driven projects involving data engineering, AI/GenAI, and scalable data platforms. You will design and deploy pipelines, collaborate with analysts, developers, and data consumers, and help turn data into actionable insights for national security and other critical missions.

The role emphasizes building robust data architectures, integrating structured and unstructured sources, and ensuring data readiness for AI models within