Remote Data Engineer for Mission Analytics & AI

Booz Allen Hamilton; Arlington (TX); Hybrid; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton seeks a Data Engineer to build and maintain production data pipelines powering DoD analytics and AI missions. You will work across cloud and on‑prem environments to ensure secure, reliable data delivery.

You’ll collaborate with mission experts, architects, data scientists, and cybersecurity professionals to transform disparate data into trusted, reusable assets and contribute to production systems through coding, deployment, monitoring, and troubleshooting.

Qualifications

• 3+ years of experience building and operating production data pipelines for DoW/DoD missions.
• Proficient with Python and SQL to integrate data from enterprise databases, APIs, and operational systems.
• Experience building automated batch or streaming pipelines with data validation, failure recovery, and performance monitoring.
• Experience implementing cloud data infrastructure, including storage, data modeling, and query optimization.

Responsibilities

• Build and maintain data pipelines that acquire, transform, validate, and deliver data across cloud and on-premises environments.
• Collaborate with mission experts, architects, data scientists, and cybersecurity professionals to turn disparate operational data into trusted, reusable assets.
• Contribute directly to production systems through coding, integration, deployment, monitoring, and troubleshooting.

Skills

Python

SQL

Data pipelines

Cloud data infra

Secret clearance

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a technology field

Job description

Booz Allen Hamilton seeks a Data Engineer to build and maintain production data pipelines powering DoD analytics and AI missions. You will work across cloud and on‑prem environments to ensure secure, reliable data delivery.

You’ll collaborate with mission experts, architects, data scientists, and cybersecurity professionals to transform disparate data into trusted, reusable assets and contribute to production systems through coding, deployment, monitoring, and troubleshooting.