AI Engineer, Mission Data Pipelines

Booz Allen Hamilton

. Design and build scalable data pipelines integrating files, APIs, services, databases, and other mission data sources .

Posted 9/23/2026full-timeReston • Virginia • United StatesSeniorLead💰 $77,600 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data pipelines, integrating diverse data sources, and developing adaptable source readers and metadata-enrichment capabilities. Proficient in applying AI and machine learning techniques to enhance data processing and user access, with a strong focus on geospatial intelligence data management.

Highest-signal resume keywords

Data EngineeringNode.js Application DevelopmentGeospatial Intelligence Data ManagementAI and Machine Learning ApplicationOracle Database Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignMetadata-Enrichment DevelopmentEvent-Driven Pipeline ImplementationData Extraction and NormalizationData Quality AssuranceGeospatial Data ProcessingAI IntegrationWorkflow OrchestrationData CatalogingSystem Migration

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

Oracle DatabaseOracle AI Database 26aiOracle ExadataOCI Autonomous AI Database ServiceAWSData Quality PlatformsLineage Tools

Certifications & Qualifications

Active TS/SCI Clearance

Industry Keywords

Data EngineeringCloud ArchitectureGeospatial IntelligenceData QualityCompliance Requirements

Tech Stack

Tools & technologies

AWSCloudJavaScriptNode.jsOracleTypeScript

About the role

Key responsibilities & impact

Design and build scalable data pipelines integrating 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 adapting 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 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
Collaborate with data engineers, database specialists, AI developers, cloud architects, security professionals, and mission stakeholders
Build reliable, scalable capabilities ready for operational use

Requirements

What you’ll need

8+ years of experience in data engineering, software engineering, or cloud architecture
Experience designing and building resilient, scalable data pipelines integrating 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, 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
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, 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
Strong communication and collaboration skills

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards for exceptional performance and superior demonstration of values