AI and Mission Data Pipelines 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

Job Number: R0250193

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.

You Have

• 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

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.