Data Engineer

Booz Allen Hamilton • Chantilly, VA

2d • Remote

About The Position

Data Engineer The Opportunity: Booz Allen is seeking a 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

• Experience building and maintaining data pipelines
• Experience using NiFi, Python, or Scala
• Experience with SQL, PostgreSQL, or Kafka
• Experience with database development
• Ability to work independently and collaboratively in a team environment
• Ability to obtain a TS/SCI clearance with a polygraph
• Bachelor’s degree in a Computer Science or Engineering field
• Ability to obtain Security+ Certification within 6 months of hire

Nice To Haves

• Experience with Kafka ecosystem tools such as Kafka Connect or Kafka Streams
• Experience with NiFi for data flow automation
• Experience with orchestration tools such as Kubernetes, Helm, or ArgoCD
• 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.
• Transform complex data into actionable insights.
• 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.
• Drive innovation in data solutions.

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