Data Engineer

Booz Allen Hamilton • Chantilly, VA

1d • Remote

About The Position

Booz Allen is seeking a Lead Data Engineer to architect, develop, and optimize scalable data pipelines and platforms that transform complex data into actionable insights. In this role, you will lead a team of data engineers to design modern, cloud-native solutions integrating structured and unstructured data across secure environments. You will serve as a technical and strategic leader, responsible for building and maintaining enterprise data infrastructure that powers analytics, reporting, and mission-critical decision-making. Collaborating with multidisciplinary teams, you will set engineering standards, ensure data quality, and drive innovation, enabling the organization to leverage data as a secure and strategic asset at scale. This position blends technical expertise with leadership responsibilities to deliver high-quality, reliable, and secure data solutions across cloud and distributed systems. Work with us to use data for good. Join us. The world can’t wait.

Requirements

• 5+ years of experience with building and maintaining data pipelines
• 5+ years of experience with ETL development in Java, and NiFi, Python, or Scala
• 3+ years of experience with SQL, PostgreSQL, or Kafka
• Experience with AWS services, including RDS and Aurora
• Ability to work independently and collaboratively in a team environment
• TS/SCI clearance with a polygraph
• Bachelor’s degree in a Computer Science or Engineering field
• Ability to obtain a Security+ Certification within 6 months of hire

Nice To Haves

• Experience with Kafka Connect, Kafka Streams, or other Kafka ecosystem tools
• Experience with NiFi for data flow automation
• Experience with Kubernetes, Helm, ArgoCD, or related orchestration tools
• Experience with monitoring tools, such as Grafana, Prometheus, or Elasticsearch
• Experience with real-time data and streaming architectures

Responsibilities

• Architect, develop, and optimize scalable data pipelines and platforms.
• Lead a team of data engineers to design modern, cloud-native solutions.
• Integrate structured and unstructured data across secure environments.
• Build and maintain enterprise data infrastructure.
• Set engineering standards, ensure data quality, and drive innovation.
• Leverage data as a secure and strategic asset at scale.

Benefits

• health, life, disability, financial, and retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care
• recognition awards program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees