Remote Platform & Data Engineer — End-to-End Data Apps

Bah; Honolulu (HI); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen is seeking a Platform and Data Engineer to design and implement data pipelines and analytics platforms for mission-driven projects, including DoD initiatives. You will guide a multi-disciplinary team and develop solutions from data ingestion to interactive dashboards, ensuring production-grade code and robust data practices.

You will collaborate with clients to define questions, explore data-rich environments, and deliver scalable, end-to-end data applications that turn disparate data

Qualifications

• You have 3+ years of experience in software development, data science, or data engineering.
• You have 2+ years using Python for data work with libraries like NumPy, pandas, matplotlib, and PySpark.
• You have 1+ years building analytics dashboards or interactive GUI apps.
• You have 1+ years of customer-facing technical communication with non-technical audiences.
• You can break down complex problems into technical solutions from customer requirements.
• You routinely follow SDLC best practices.
• You are detail oriented and proactive.
• You can articulate development risks.
• You hold Secret clearance.

Responsibilities

• Build data pipelines and analytics platforms for clients.
• Collaborate with analysts, developers, and data consumers in agile environments.
• Develop data applications from back-end engineering to front-end dashboards.
• Engage with customers to understand questions and translate to technical solutions.

Skills

Software development

Python

Data visualization

Customer communication

Problem solving

SDLC

Attention to detail

Risk articulation

Security clearance

Education

Bachelor's degree in STEM

Master's degree in STEM

Job description

Booz Allen is seeking a Platform and Data Engineer to design and implement data pipelines and analytics platforms for mission-driven projects, including DoD initiatives. You will guide a multi-disciplinary team and develop solutions from data ingestion to interactive dashboards, ensuring production-grade code and robust data practices.

You will collaborate with clients to define questions, explore data-rich environments, and deliver scalable, end-to-end data applications that turn disparate data