Data Engineer — Build Scalable Pipelines for Impact

Booz Allen Hamilton; Norfolk (VA); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to help build and deploy data pipelines and platforms that organize both structured and unstructured data for mission-driven projects. You’ll work with a multidisciplinary team in an agile environment to transform data into actionable insights for clients such as fraud detection, cancer research, and national intelligence.

Ideal candidates bring 2+ years in data engineering, strong Python skills, and experience creating scalable data stores and

Qualifications

• 2+ years of experience within data engineering, data science, or pipeline development.
• Experience with Python programming.
• Experience developing scalable data stores for business analysis.
• Experience building scalable data pipelines or ETL/ELT workflows for analytics.
• Experience collaborating in cross-functional teams.
• Ability to convert data into usable formats and help scale data platforms.
• Secret clearance and a Bachelor's degree.

Responsibilities

• Develop and deploy data pipelines and platforms for clients.
• Collaborate with analysts, data engineers, developers, and data consumers.
• Sharpen skills in analytical exploration and data examination.
• Support design, development, and maintenance of scalable data platforms.

Skills

Python

Secret clearance

Data pipelines

ETL/ELT

Cross-functional teamwork

Scripting

Education

Bachelor’s degree

Master’s degree (nice to have)

Tools

AWS EMR

Redshift

SageMaker

Databricks

Machine learning service

Job description

Booz Allen Hamilton is seeking a Data Engineer to help build and deploy data pipelines and platforms that organize both structured and unstructured data for mission-driven projects. You’ll work with a multidisciplinary team in an agile environment to transform data into actionable insights for clients such as fraud detection, cancer research, and national intelligence.

Ideal candidates bring 2+ years in data engineering, strong Python skills, and experience creating scalable data stores and