Data Engineer — Mission‑Critical Data Pipelines

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

Job summary

Booz Allen Hamilton seeks a Data Engineer to help build pipelines and platforms that organize structured and unstructured data for mission-driven projects in fraud detection, cancer research, and national intelligence.

You’ll work with analysts, data engineers, and developers to deliver scalable data solutions, employing ETL/ELT workflows and modern data stores in a fast-paced, agile environment.

Qualifications

• 2+ years of experience with programming languages C++, Java, or Python.
• 2+ years of experience developing and maintaining scalable data stores for big data.
• 1+ years with Git or Atlassian tools.
• Experience with ETL/ELT workflows for reporting and analytics.
• Knowledge of SQL or GraphQL databases.

Responsibilities

• Build and deploy data pipelines and platforms to organize disparate data sources.
• Collaborate with analysts, data engineers, and developers in an agile environment.
• Develop, document, and maintain scalable data platforms for clients.
• Support data assessment, design, development, and maintenance activities.

Skills

C++

Java

Python

Data stores

Git / Atlassian

ETL/ELT

SQL/GraphQL

Scripting

Education

Bachelor’s degree

Master’s degree

Certifications (Security+ / CISSP)

Tools

AWS EMR

Redshift

SageMaker

Databricks

SQL Data Warehouse

Apache Spark

NVIDIA CUDA

Terraform

CloudFormation

Job description

Booz Allen Hamilton seeks a Data Engineer to help build pipelines and platforms that organize structured and unstructured data for mission-driven projects in fraud detection, cancer research, and national intelligence.

You’ll work with analysts, data engineers, and developers to deliver scalable data solutions, employing ETL/ELT workflows and modern data stores in a fast-paced, agile environment.