AI and Mission Data Pipelines Engineer

Booz Allen Hamilton•Springfield, VA

1d•$77,600 - $176,000•Onsite

About The Position

As an Oracle AI Data Pipeline Engineer, you’ll help connect disparate data sources, preserve important context and quality, and deliver trusted data for applications, analysts, and AI-enabled workflows. In this role, you’ll work across data engineering, geospatial data, cloud technologies, databases, and AI. You’ll help move data from source to insight by building resilient pipelines, adaptable source readers, metadata-enrichment capabilities, event-driven processing, cataloging workflows, and secure ingestion services. You’ll collaborate with data engineers, database specialists, AI developers, cloud architects, security professionals, and mission stakeholders to solve complex data challenges and build capabilities that are reliable, scalable, and ready for operational use. If you’re excited about making mission data more accessible, usable, and valuable, we invite you to join us.

Requirements

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

Nice To Haves

Experience with Oracle AI Database 26ai, Oracle Exadata, or OCI Autonomous AI Database Service on Exadata
Experience enabling AI use cases with Oracle vector data types, RAG, and MCP
Experience designing multi-model Oracle Database solutions using relational, spatial, JSON, including JSON Relational Duality, and graph data types
Experience with data catalogs, workflow orchestration, event streaming, data quality platforms, and lineage tools
Experience migrating systems or data pipelines from AWS or on-premises environments into OCI
Experience with Authority to Operate processes, security documentation, or compliance requirements
Knowledge of OCI and secure cloud-native data pipeline deployment patterns
Possession of strong communication and collaboration skills

Responsibilities

Design and build 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 that capture provenance, lineage, security attributes, quality indicators, and mission context.
Design event-driven pipelines that coordinate processing and cataloging across multiple data types and sources.
Develop pipeline capabilities for geospatial intelligence data, including raster and vector data, while preserving spatial metadata, coordinate-system information, quality indicators, and access controls.
Apply AI, RAG, MCP, and agentic capabilities to improve data extraction, enrichment, classification, cataloging, discovery, and user access.
Develop Node.js applications, dashboards, and service integrations connected to Oracle Database.