AI-Powered Mission Data Pipeline Engineer

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

Job summary

Booz Allen Hamilton is seeking an AI and Mission Data Pipelines Engineer in Reston, VA, to design scalable pipelines that ingest diverse mission data, including geospatial formats, while ensuring provenance, security, and quality. You will build event-driven processes and Node.js apps connected to Oracle Database.

Requires 8+ years in data or software engineering, TS/SCI clearance, and a strong track record in data pipelines and AI-enabled ingestion and cataloging workflows.

Qualifications

• 8+ years in data or software engineering or cloud architecture.
• Experience building resilient, scalable data pipelines that integrate multiple sources.
• Experience developing adaptable source readers and metadata enrichment for provenance, lineage, security attributes, data quality, and context.
• Experience designing and implementing event-driven or workflow-based data pipelines.
• Experience working with geospatial intelligence data, preserving spatial metadata and coordinate-system information.
• Experience applying AI or machine learning to data extraction, enrichment, classification, cataloging, discovery, or user access (RAG/MCP).
• Experience developing Node.js applications and dashboards connected to Oracle Database.
• Active TS/SCI clearance; willingness to take a polygraph exam.
• Bachelor’s degree.

Responsibilities

• Design scalable data pipelines that integrate files, APIs, services, databases, and other mission data sources.
• Develop workflows for data extraction, normalization, enrichment, validation, cataloging, routing, and ingestion.
• Build flexible source readers that adapt to evolving data formats, schemas, metadata structures, APIs, and services.
• Develop metadata-enrichment capabilities capturing provenance, lineage, security attributes, quality indicators, and mission context.
• Design event-driven pipelines coordinating processing and cataloging across data types and sources.
• Develop pipeline capabilities for geospatial intelligence data while preserving spatial metadata and coordinate-system information.
• Apply AI, RAG, MCP to improve data extraction, enrichment, classification, cataloging, discovery, and user access.
• Develop Node.js applications, dashboards, and service integrations connected to Oracle Database.

Skills

Data engineering

Software engineering

Cloud architecture

Data pipelines

Geospatial data

Node.js

Oracle Database

AI/ML in data

Clearance TS/SCI

Bachelor’s degree

Education

Bachelor’s degree

Tools

Oracle Database

OCI

Job description

Booz Allen Hamilton is seeking an AI and Mission Data Pipelines Engineer in Reston, VA, to design scalable pipelines that ingest diverse mission data, including geospatial formats, while ensuring provenance, security, and quality. You will build event-driven processes and Node.js apps connected to Oracle Database.

Requires 8+ years in data or software engineering, TS/SCI clearance, and a strong track record in data pipelines and AI-enabled ingestion and cataloging workflows.