Data Engineer — Mission-Critical Data Pipelines

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

Job summary

Booz Allen Hamilton is seeking a Data Engineer to build and deploy pipelines that organize disparate data sources for mission-driven projects. You will develop scalable data platforms and collaborate with a cross-functional team to deliver analytics-ready data for business insights.

Applicants should have 2+ years in Python, ETL/ELT workflows, and experience with scalable data stores. A Bachelor’s degree is required; Master’s is a plus.

Qualifications

• 2+ years of experience with Python and data engineering
• Experience developing scalable data stores and pipelines for business analytics
• Experience with ETL/ELT workflows for reporting and analytics
• Experience collaborating within cross-functional teams
• Ability to develop scripts and programs to transform data for scalable platforms

Responsibilities

• Develop and deploy data pipelines and platforms to organize disparate data sources
• Support assessment, design, development, and maintenance of scalable data platforms
• Work with analysts, data engineers, developers and data consumers in agile environments

Skills

Python

Data pipelines

ETL/ELT

Collaboration

Scripting

Education

Bachelor’s degree

Master’s degree

Tools

AWS EMR

Redshift

SageMaker

Databricks

Terraform

CloudFormation

NVIDIA CUDA

Job description

Booz Allen Hamilton is seeking a Data Engineer to build and deploy pipelines that organize disparate data sources for mission-driven projects. You will develop scalable data platforms and collaborate with a cross-functional team to deliver analytics-ready data for business insights.

Applicants should have 2+ years in Python, ETL/ELT workflows, and experience with scalable data stores. A Bachelor’s degree is required; Master’s is a plus.