Data Engineer for Mission-Driven AI/ML Pipelines

Booz Allen Hamilton; Fort Meade (MD); On-site; USD 78,000 - 176,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Disability insurance

Retirement plan

Job summary

Booz Allen Hamilton is seeking a Data Engineer to lead data pipeline design, validation, and governance on mission-driven projects for national security and intelligence clients. You will build scalable ETL workflows, develop schemas, and monitor data quality across diverse data sources with cloud-enabled platforms.

The role requires strong collaboration with AI/ML teams and cross‑functional engineers, and a TS/SCI clearance with polygraph, plus a STEM or related degree.

Qualifications

• 6+ years of experience as a data engineer.
• Experience validating or normalizing datasets and developing schemas.
• Experience implementing dashboards and metrics for data and pipeline monitoring.
• Experience building automated ETL workflows and pipelines for data processes.
• Knowledge of data governance practices.
• Ability to design, implement, and maintain data pipelines.
• Ability to monitor and improve pipeline performance in coordination with operations teams.

Responsibilities

• Oversee development and deployment of data pipelines and platforms.
• Collaborate with AI model engineers and cloud architects.
• Develop and maintain data models, schemas, and data quality checks.
• Monitor data flows for performance, reliability, and governance.

Skills

Data pipelines

ETL workflows

Data governance

Dashboards

Schema design

Cloud platforms

Python/SQL

Security clearance

Education

HS diploma or GED with 6+ years of data engineering experience

Bachelor’s degree with 4+ years of data engineering experience

Tools

AWS

Azure

SQL

Python

Apache Kafka

Job description

Booz Allen Hamilton is seeking a Data Engineer to lead data pipeline design, validation, and governance on mission-driven projects for national security and intelligence clients. You will build scalable ETL workflows, develop schemas, and monitor data quality across diverse data sources with cloud-enabled platforms.

The role requires strong collaboration with AI/ML teams and cross‑functional engineers, and a TS/SCI clearance with polygraph, plus a STEM or related degree.