AI Data Engineer (Senior)

Postgres
UNITED STATES
October 22, 2026
Full Time
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Job Description

Company: The Amatriot Group
Location: Chantilly, VA
Workplace Type: On-site
Employment Type: Full-time
Pay / Compensation: $150,000 – $170,000

About the Role

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 within secure, multi-enclave environments.

What You’ll Do / Key Responsibilities

  • Data Engineering and Analytics: Develop data-processing workflows and analytics for desktop- and web-based visual analytic tools using PostgreSQL and other technologies.
  • AI and GenAI Engineering: Support advanced AI, GenAI, and multi-model engineering capabilities including multi-model orchestration, Named Entity Recognition, and contextual entity extraction.
  • Data Architecture and ETL: Support vector, graph, and multi-database orchestration while developing, scheduling, and optimizing automated ETL pipelines.
  • Enterprise Infrastructure: Support air-gapped, hybrid, and on-premises operational environments utilizing Kubernetes, container orchestration, and locally hosted GPU servers.
  • Application Development and Integration: Support UI, backend, and middleware engineering using modern technologies such as TypeScript, React, Python, FastAPI, PostgreSQL, and Docker.
  • Technical Leadership: Mentor junior team members and contribute to cross-team engineering standards and technical best practices.

Requirements & Qualifications

  • Education: Bachelor’s degree [Required].
  • Security Clearance: Active TS or higher [Required].
  • Experience: Minimum 8 years of relevant experience in data engineering, database design, or related fields [Required].
  • Core Skills: Strong relational database design skills, strong SQL skills, and strong ETL/ELT processing skills [Required].
  • Technical Background: Experience working with structured and semi-structured data and visualization technologies [Required].

Preferred / Bonus Qualifications (if applicable)

  • 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.

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