AI Data Engineer (Senior)

Amatriot Group•Chantilly, VA

7d•Onsite

About The Position

The AI Data Engineer (Senior) supports advanced visual analytic applications by building data pipelines, designing large relational databases, and enabling high-performance analysis across structured and semi-structured data. This role helps streamline processes, improve system performance, strengthen secure data practices, mentor junior team members, and contribute to cross-team technical standards. The position also supports advanced AI and GenAI capabilities, complex data architecture and ETL, enterprise infrastructure, cross-domain environments, and application development and integration across secure, multi-enclave environments.

Requirements

Active TS or higher Security Clearance
Bachelor’s degree
Minimum 8 years of relevant experience
8+ years of experience in data engineering, database design, or related fields
Experience working with structured and semi-structured data and visualization technologies
Familiarity with high-performance computing and mixed-technology environments
Experience improving data workflows, performance, and security
Strong relational database design skills
Strong SQL skills
Strong ETL/ELT processing skills
Strong analytical, communication, and collaboration skills

Nice To Haves

Experience supporting federal or secure, multi-enclave environments
Background with advanced visualization platforms or high-volume data processing
Knowledge of data modeling, data warehousing, and performance tuning

Responsibilities

Develop data-processing workflows and analytics for desktop- and web-based visual analytic tools.
Support large-scale relational data analysis using visualization and high-performance computing.
Build secure data-ingestion pipelines using open-source, COTS, and GOTS technologies.
Design and optimize enterprise relational databases and establish standards for operations and security.
Integrate new data systems with existing data warehouses and improve performance and functionality.
Contribute to system optimization, secure posture improvements, and cross-team technical standards.
Support advanced AI, GenAI, and multi-model engineering capabilities.
Implement multi-model and multi-modality orchestration across reasoning, perception, memory, and tool-execution components.
Support temporal, spatial, geographic, quantitative, and computer-vision AI implementations.
Implement Named Entity Recognition, contextual entity extraction, and entity resolution.
Support multi-step retrieval and structured-output generation.
Perform complex data parsing and streamlined ingestion.
Support deep source citation and traceable analytic outputs.
Support vector, graph, and multi-database orchestration.
Develop, schedule, and optimize automated ETL pipelines.
Implement Attribute-Based Access Control at the data layer.
Support provenance and end-to-end data lineage tracking.
Perform schema-aligned ingestion and normalization of diverse structured and unstructured data.
Support air-gapped, hybrid, and on-premises operational environments.
Support container orchestration and distributed systems management using Kubernetes.
Support locally hosted GPU servers and hyperconverged nodes.
Support multi-tenant Cross-Domain Solutions.
Support UI, backend, and middleware engineering using technologies such as TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.
Integrate reasoning components, retrieval systems, databases, and AI/GenAI services.
Apply modern programming languages and frameworks to application development and integration.
Mentor junior team members.
Contribute to cross-team engineering standards and technical best practices.
Support improvements to system performance, security, and overall platform functionality.