Overview In this role you will help build and deploy data-driven solutions for mission-driven projects, turning diverse data into actionable insights. You'll work with a multidisciplinary team to design scalable workflows, pipelines, and platforms, ensuring alignment with current architecture and future needs. You'll tackle complex problems and drive system improvements using cutting-edge techniques and tools. This position offers the chance to influence critical projects and collaborate across functions in a fast-paced, agile environment. A strong hook is the opportunity to apply advanced data capabilities to solve real-world challenges at Booz Allen.
Compensation / Benefits- health benefits
- life and disability benefits
- retirement benefits
- tuition assistance
- paid leave
- work-life programs
Responsibilities- develop and deploy data workflows, pipelines, and platforms
- build and optimize data engineering solutions
- collaborate with analysts, data scientists, engineers, and data consumers
- identify and implement system improvements
- ensure alignment with current architecture and future functionality
Key requirements- 4+ years of experience with python, SQL, ETL, and data pipelines
- experience with containers or container orchestration (Kubernetes)
- experience with data engineering concepts and implementations
- experience writing source code for new applications or improving code samples
- ability to solve complex problems in cross-functional teams
- TS/SCI clearance with polygraph
- Bachelor's degree
- collaborative
- cross-functional teamwork
- effective communication
- Spark (nice to have)
- containerization/Kubernetes
- ELK or OpenSearch
