Senior AI Data Engineer - TS Cleared & GenAI Lead

Amatriot Group, LLC

Chantilly (VA)

On-site

USD 135,000 - 150,000

Full time

2 days ago
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Job summary

Amatriot Group, LLC in Chantilly, VA is seeking a Senior AI Data Engineer to design data pipelines, build large relational databases, and enable high‑performance analytics across structured and semi‑structured data. You will help streamline processes, improve security, mentor junior teammates, and contribute to cross‑team standards.

This role supports advanced AI and GenAI features, complex data architectures, ETL, and multi-enclave environments in an enterprise setting.

Qualifications

  • Minimum 8 years of relevant experience in data engineering or related fields.
  • Experience with structured and semi-structured data and visualization tech.
  • Familiarity with high-performance computing and mixed-technology environments.
  • Experience improving data workflows, performance and security.
  • Strong analytical, communication, and collaboration skills.

Responsibilities

  • Develop data-processing workflows and analytics for desktop- and web-based visual analytics tools.
  • Support large-scale relational data analysis using visualization and HPC methods.
  • Build secure data-ingestion pipelines with open-source, COTS, and GOTS tech.
  • Design and optimize enterprise relational databases and security standards.
  • Integrate new data systems with existing warehouses and improve performance.
  • Mentor junior engineers and contribute to cross-team standards.

Skills

AI data engineering
Data pipelines
Relational databases
Secure data practices
Mentoring

Tools

TypeScript
React
Python
FastAPI
LanceDB
Lance Graph
PostgreSQL
Temporal.io
Docker
Kubernetes

Job description

Amatriot Group, LLC in Chantilly, VA is seeking a Senior AI Data Engineer to design data pipelines, build large relational databases, and enable high‑performance analytics across structured and semi‑structured data. You will help streamline processes, improve security, mentor junior teammates, and contribute to cross‑team standards.

This role supports advanced AI and GenAI features, complex data architectures, ETL, and multi-enclave environments in an enterprise setting.

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