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# AI and Mission Data Pipelines Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Reston, VA, United States
- **Experience:** Expert
- **Salary:** $77,600 - $176,000
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Computing Security, Cloud Engineering, Databases, Information Engineering, Data Mining, Oracle Exadata, Geospatial Intelligence, JSON, Machine Learning, Metadata, Metadata Repositories, Node.Js, Oracle Databases, Oracle (Applications), Software Engineering, Spatial Data Infrastructures, Data Streaming, Workflow Management Systems, Retrieval-Augmented Generation, Build Management, Data Management, Oracle Cloud Infrastructure, Data Pipelines, Raster Graphics
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-and-mission-data-pipelines-engineer-reston-va--2269d460-4e68-4cb2-81d4-54239910e778

## About the Role

Artificial Intelligence (AI), Data Management, Data Management, Oracle, Artificial Intelligence (AI), Cataloguing, Spatial Data, Software Engineering, Metadata, Cloud Computing, * 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 If You Have:

 * 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

## Description

AI and Mission Data Pipelines Engineer

The Opportunity:

Mission data is only as useful as the pipelines that make it available. 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.

What You'll Work On:

 * 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.