Remote Data Engineer: Mission Analytics & Secure Pipelines

Booz Allen; Arlington (VA); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton in Arlington, VA seeks a Mid Data Engineer to design and maintain data pipelines across cloud and on‑prem environments for DoD analytics and AI missions.

You will collaborate with engineers, data scientists, and cybersecurity professionals to turn diverse data into trusted assets, implementing validation, monitoring, and performance optimization to support mission-ready data infrastructure.

Qualifications

• 3+ years of data engineering experience building production data pipelines for DoW/DoD missions.
• Proficiency with Python and SQL to integrate data from 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.
• Secret clearance.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a technology field.

Responsibilities

• Build and maintain data pipelines across cloud and on‑prem environments.
• Collaborate with mission experts, architects, data scientists, and cybersecurity professionals to deliver trusted data assets.
• Write production-grade code with monitoring and troubleshooting to support analytics and AI applications.
• Turn disparate operational data into actionable, reusable data products.

Skills

Python

SQL

Data pipelines

Batch processing

Streaming pipelines

Cloud data infra

Data modeling

Query optimization

Education

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

Job description

Booz Allen Hamilton in Arlington, VA seeks a Mid Data Engineer to design and maintain data pipelines across cloud and on‑prem environments for DoD analytics and AI missions.

You will collaborate with engineers, data scientists, and cybersecurity professionals to turn diverse data into trusted assets, implementing validation, monitoring, and performance optimization to support mission-ready data infrastructure.