Remote Mission-Driven Data Engineer: AI/ML Pipelines

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

Job summary

Booz Allen Hamilton seeks a Data Engineer to design, build, and deploy data pipelines and platforms that organize structured and unstructured data for mission‑driven projects, from fraud detection to national security.

In an agile, multidisciplinary team, you will apply data analytics, ML, and visualization with Python, R, Tableau or Power BI, own end‑to‑end data flows, and mentor stakeholders on data usage; a TS/SCI clearance and a STEM degree are required.

Qualifications

• 3+ years of experience in data analytics, data mining, statistical analysis, or AI/ML.
• 3+ years of Python and/or R experience.
• 3+ years of retrieving, merging, and analyzing data from APIs and databases.
• Experience applying quantitative methods (modeling, forecasting, optimization).
• Experience with data visualization tools (Tableau/Power BI).
• Ability to work independently with minimal oversight; travel up to 20%.
• TS/SCI clearance; Bachelor's degree in STEM.

Responsibilities

• Design, build, and deploy data pipelines and platforms for structured and unstructured data.
• Collaborate with analysts, engineers, and data consumers in an agile environment.
• Apply data analytics, ML, and quantitative methods to support client missions.
• Support assessment, design, development, and maintenance of scalable data solutions.
• Advise stakeholders on data usage and data quality.

Skills

Data analytics

Python

R

APIs & databases

Statistical analysis

Data visualization

Tableau

Power BI

Independent work

Travel readiness

Education

Bachelor's degree in STEM

Tools

Palantir Foundry

War Data Platform

Job description

Booz Allen Hamilton seeks a Data Engineer to design, build, and deploy data pipelines and platforms that organize structured and unstructured data for mission‑driven projects, from fraud detection to national security.

In an agile, multidisciplinary team, you will apply data analytics, ML, and visualization with Python, R, Tableau or Power BI, own end‑to‑end data flows, and mentor stakeholders on data usage; a TS/SCI clearance and a STEM degree are required.