Full-Stack Data Platform Engineer

Booz Allen Hamilton; Pearl City (HI); Presencial; USD 62.000 - 141.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement plan

Paid leave

Descripción de la vacante

Booz Allen Hamilton is seeking a data engineer to design and deploy scalable data pipelines and platforms across mission-driven projects. You will work with analysts, developers, and data consumers to turn disparate data into actionable insights in fast-paced, agile environments.

Ideal candidates have Python-based data work experience, build analytics dashboards, and can communicate technical solutions to non-technical stakeholders. DoD context and security clearances are relevant to this role.

Formación

• 3+ years of software development, data engineering, or data science with enterprise impact.
• 2+ years Python data work using NumPy, pandas, matplotlib, PySpark.
• 1+ year building analytics dashboards or interactive web apps.
• Experience communicating technical solutions to non-technical stakeholders.
• Adherence to SDLC practices and ability to manage tasks independently.

Responsabilidades

• Design, build, and maintain scalable data pipelines and platforms.
• Collaborate with analysts, developers, and data users on mission-critical projects.
• Develop analytics systems in classified environments and summarize findings.
• Guide front-end and back-end development for data applications from end to end.

Conocimientos

Python

NumPy

pandas

matplotlib

PySpark

data visualization

React

Typescript

Angular

SDLC best practices

stakeholder communication

Educación

Bachelor's degree in STEM

Master's degree in STEM (nice to have)

Herramientas

Databricks

War Data Platform

Palantir Foundry

Maven Smart Systems

Microsoft Power Platform

Descripción del empleo

Booz Allen Hamilton is seeking a data engineer to design and deploy scalable data pipelines and platforms across mission-driven projects. You will work with analysts, developers, and data consumers to turn disparate data into actionable insights in fast-paced, agile environments.

Ideal candidates have Python-based data work experience, build analytics dashboards, and can communicate technical solutions to non-technical stakeholders. DoD context and security clearances are relevant to this role.