Booz Allen Hamilton is seeking a Software Data Engineer to support their Defense customer in operations across the electromagnetic spectrum. The role involves maintaining ETL workflows, modernizing legacy applications, and designing solutions for data processing and storage.
Responsibilities:
- Support the planning, management, and execution of operations across the electromagnetic spectrum
- Maintain Extract, Transform, and Load (ETL) workflows that ingest, transform, and store mission data on edge systems that may operate without consistent connectivity
- Support the modernization of legacy Java applications and integration with AWS cloud-based infrastructure
- Lead the development of a DDIL-capable ETL pipeline for ingesting, transforming, and storing data on edge nodes with limited connectivity and constrained compute resources, including hardware integration and further improvements to operate on low SWaP hardware
- Design solutions that support local data processing and storage with eventual synchronization to cloud environments
- Use passion to master new tools and techniques and identify needed system improvements
- Help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies
- Ensure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements
Requirements:
- 4+ years of experience in software development with back-end and front-end programming languages, technologies, tools, or web development stacks, including Java, Spring, Rust, Python, React, and TypeScript
- Experience writing source code for new applications, or generating and enhancing code samples for existing applications
- Experience creating solutions to complex problems within a collaborative, cross-functional team to build scalable, secure, and maintainable system architectures
- Experience building and supporting cloud infrastructure in Amazon Web Services such as S3, Kubernetes, Helm, and Terraform
- Experience implementing integration points that write processed data to cloud object storage
- Experience developing ETL pipelines and distributed data processing systems
- Experience leading modernization and migration of legacy Java enterprise applications into containerized, cloud-hosted environments
- Knowledge of edge computing or disconnected environments
- Secret clearance
- Bachelor's degree or 8+ years of experience in software engineering in lieu of a degree
- Experience with Agile methodologies such as Scrum, extreme programming, software engineering, and product management
- Experience acquiring client requirements and resolving workflow problems through automation optimization
- Ability to work with automated testing tools to perform testing and maintenance