Mission-Driven Data Engineer: Build Scalable Pipelines

Booz Allen Hamilton; O'Fallon (IL); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to help our clients convert disparate data into meaningful insights, supporting missions from fraud detection to cancer research. You will build and operate pipelines and platforms, collaborate with analysts, developers, and data consumers in a fast-paced, agile environment, and contribute to scalable data solutions across projects.

The role emphasizes hands-on data engineering, cloud experience, and a proactive mindset to turn data into actionable

Qualifications

• 2+ years of Python experience.
• 2+ years building scalable data stores for analytics.
• Experience with C++, Java, or Linux.
• Experience creating software to retrieve, parse, and process data.
• Experience developing scalable ETL or ELT workflows.
• Ability to work in cross-functional teams.
• Ability to develop scripts to convert data for scaling and operation.
• Requires TS/SCI clearance.
• Bachelor’s degree.

Skills

Python

data stores

programming languages

data mining

ETL/ELT

cross-functional teamwork

scripting

TS/SCI clearance

Bachelor’s degree

Education

Bachelor’s degree

Tools

Python

C++

Java

Linux

Job description

Booz Allen Hamilton is seeking a Data Engineer to help our clients convert disparate data into meaningful insights, supporting missions from fraud detection to cancer research. You will build and operate pipelines and platforms, collaborate with analysts, developers, and data consumers in a fast-paced, agile environment, and contribute to scalable data solutions across projects.

The role emphasizes hands-on data engineering, cloud experience, and a proactive mindset to turn data into actionable