Data Engineer, Lead

Booz Allen HamiltonChantilly, VA
11d

About The Position

Data Engineer, Lead The Opportunity: 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, strategic asset at scale. This po sit ion 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 NiFi, Java, Python, SQL, 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
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor’s degree in Computer Science or Engineering
  • Ability to obtain 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 tools2, such as Grafana, Pro met heus, or Elasticsearch
  • Experience with real-time data and streaming architectures

Benefits

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