Data Engineer, Mission Analytics — Secret Clearance

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

Benefits offered by this job

Health benefits

Retirement plan

Tuition assistance

Work-life programs

Job summary

Booz Allen Hamilton in Arlington, VA is seeking a Data Engineer to build and operate production data pipelines powering DoD analytics and AI missions. You will design secure, scalable data infrastructures that connect authoritative sources and deliver trusted data for analysts and models.

The role requires 3+ years of data engineering, Python and SQL proficiency, cloud experience, and a Secret clearance. You will collaborate across cross-functional teams to productionize data, monitor quality,

Qualifications

• 3+ years of data engineering experience building production pipelines.
• Proficient in Python and SQL for data integration from enterprise sources.
• Experience with cloud data infrastructure, storage, modeling, and query optimization.
• Active Secret clearance required.

Responsibilities

• Build and operate production data pipelines across DoD missions.
• Transform, validate, and deliver data from cloud and on-premises sources.
• Collaborate with mission experts, architects, data scientists, and cybersecurity professionals.

Skills

Python

SQL

Data integration

Data quality

Security clearance

Education

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

Tools

Cloud platforms (AWS/Azure/GCP)

Data modeling

Batch/Streaming pipelines

Change data capture

Data catalogs / lineage

Job description

Booz Allen Hamilton in Arlington, VA is seeking a Data Engineer to build and operate production data pipelines powering DoD analytics and AI missions. You will design secure, scalable data infrastructures that connect authoritative sources and deliver trusted data for analysts and models.

The role requires 3+ years of data engineering, Python and SQL proficiency, cloud experience, and a Secret clearance. You will collaborate across cross-functional teams to productionize data, monitor quality,