Data Engineer
About The Position
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 with ETL development using NiFi, Python, or Java
- Experience with SQL, PostgreSQL, or Kafka
- Knowledge of AWS services, including S3, 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 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 Geospatial Services and implementation of OGC web standards including WMS and WFS
- Experience with Docker image creation and container lifecycle management
- Experience with Kubernetes, Helm, ArgoCD, or related orchestration tools
- Experience monitoring tools2, such as Grafana, Prometheus, or Elasticsearch and Kibana
- Experience with real-time data and streaming architectures
- Experience implementing Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) to restrict sensitive data visibility
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.
- Drive innovation in data utilization.
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
