Data Engineer: Build Scalable Pipelines for Impact

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

Job summary

Booz Allen Hamilton in Alexandria, Virginia is seeking a Data Engineer to design and deploy scalable data pipelines that turn structured and unstructured data into actionable insights for missions ranging from fraud detection to national security.

You will join a multidisciplinary team and help build platforms that support analytics, ML, and real‑time data processing, with a focus on collaboration, reliability, and security clearances.

Qualifications

• 2+ years of experience using programming languages including C++, Java, or Python.
• 2+ years of experience developing and maintaining scalable data stores that supply big data for business analysis.
• Experience creating software for retrieving, parsing and processing structured and unstructured data.
• Experience with developing scalable ETL and ELT workflows for reporting and analytics.
• Experience creating solutions within a collaborative, cross‑functional team environment.
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.
• Secret clearance is required.
• Bachelor’s degree in a relevant field.

Skills

C++

Java

Python

Big data stores

ETL/ELT workflows

Cross-functional teamwork

Data scripting

Security clearance

Education

Bachelor's degree

Job description

Booz Allen Hamilton in Alexandria, Virginia is seeking a Data Engineer to design and deploy scalable data pipelines that turn structured and unstructured data into actionable insights for missions ranging from fraud detection to national security.

You will join a multidisciplinary team and help build platforms that support analytics, ML, and real‑time data processing, with a focus on collaboration, reliability, and security clearances.