Data Engineer: Build Secure, Scalable Pipelines

Booz Allen Hamilton; Fayetteville (NC); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen is seeking a Data Engineer to design, build, and maintain scalable data pipelines and catalogs. You will work on mission-driven projects, collaborating with analysts, developers, and data consumers to organize disparate data sources for impactful insights.

Required: ETL/ELT, batch and streaming pipelines, data catalog, Python and SQL, cross-functional teamwork, and TS/SCI clearance. Travel up to 25% CONUS; international deployments up to 90 days may be needed.

Qualifications

• Experience developing and maintaining ETL and ELT processes from various sources, ensuring data quality and consistency across systems
• Experience building data pipelines for batch and streaming workflows
• Experience building and managing a data catalog, including integrating APIs and securing access using OAuth2
• Experience with programming languages such as Python and SQL, for processing, scripting, automation, and optimization
• Experience creating solutions within a collaborative, cross-functional team environment
• Ability to deploy internationally for up to 90 days
• Ability to travel CONUS up to 25% of the time
• TS/SCI clearance
• HS diploma or GED

Responsibilities

• Develop and maintain ETL/ELT processes across multiple sources to ensure data quality and consistency
• Build data pipelines for batch and streaming workloads
• Create and manage a data catalog, integrate APIs, and secure access with OAuth2
• Collaborate with cross-functional teams to design and implement data solutions
• Deploy internationally for up to 90 days and travel CONUS up to 25% as required

Skills

ETL/ELT development

Data pipeline design

OAuth2 API integration

Python

SQL

Cross-functional teamwork

Security clearance TS/SCI

Education

HS diploma or GED

Bachelor's degree

Tools

Palantir Foundry

AWS

Microsoft Azure

Google Cloud

Docker

Kubernetes

CI/CD

Job description

Booz Allen is seeking a Data Engineer to design, build, and maintain scalable data pipelines and catalogs. You will work on mission-driven projects, collaborating with analysts, developers, and data consumers to organize disparate data sources for impactful insights.

Required: ETL/ELT, batch and streaming pipelines, data catalog, Python and SQL, cross-functional teamwork, and TS/SCI clearance. Travel up to 25% CONUS; international deployments up to 90 days may be needed.