Data Flow Engineer: Build Mission-Critical Data Pipelines

Booz Allen Hamilton; Fort Meade (MD); On-site; USD 87,000 - 198,000; Full time

Job summary

Booz Allen Hamilton in Fort Meade, MD is seeking a Data Flow Engineer to design, build and implement mission-critical data pipelines. You will work with a small, agile team to translate requirements into production-ready software that emphasizes clean code, APIs, analytics, and scalable infrastructure.

You will apply modern architectures and open-source tools, contribute across the stack, and ensure solutions meet current and future needs.

Qualifications

• Experience designing, modifying, developing, writing, and implementing software applications.
• Proficient in back-end and front-end languages to build complete solutions.
• Experience creating and enhancing code samples for existing apps.
• Experience with data flows, data infrastructure, and data pipelines.
• Must have TS/SCI clearance with polygraph.

Responsibilities

• Design, build, and implement solutions for mission dataflows based on guidance from the team.
• Develop software from concept to production-ready system in an agile environment.
• Apply modern architectural approaches and open-source frameworks to solve client challenges.
• Code and deliver solutions that fit the current architecture and plan for future enhancements.

Skills

Software design

Web development

Full-stack coding

Code samples

Cross-functional teamwork

Data pipelines

TS/SCI clearance

Education requirement

Education

HS diploma or GED with 6+ years experience

Bachelor's degree with 4+ years experience

Tools

AWS

Docker

Go programming

Job description

Booz Allen Hamilton in Fort Meade, MD is seeking a Data Flow Engineer to design, build and implement mission-critical data pipelines. You will work with a small, agile team to translate requirements into production-ready software that emphasizes clean code, APIs, analytics, and scalable infrastructure.

You will apply modern architectures and open-source tools, contribute across the stack, and ensure solutions meet current and future needs.