Senior Data Engineer: GenAI & Secure Pipelines, TS

Amatriot Group, LLC

Chantilly (VA)

On-site

USD 140,000 - 170,000

Full time

2 days ago
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Job summary

Amatriot Group, LLC in Chantilly, VA seeks a Senior Data Engineer to build secure data pipelines, optimize large relational databases, and enable high-performance analytics of structured and semi-structured data. The role supports AI/GenAI workflows, multi-database architectures, and cross-domain integration while mentoring junior engineers.

The position demands strong SQL/ETL skills, experience with data security and performance tuning, and a TS-level clearance.

Qualifications

  • Minimum 8 years of experience in data engineering, database design, or related fields.
  • Experience working with structured and semi-structured data and visualization technologies.
  • Experience improving data workflows, performance, and security.

Responsibilities

  • Develop data processing workflows and analytics supporting desktop and web-based visual analytic tools.
  • Support large-scale relational data analysis using visualization technologies and high-performance computing.
  • Improve data workflows, system performance, and analytical efficiency.
  • Support processing of structured, semi-structured, and unstructured data.
  • Build secure data ingestion pipelines and integrate data sources with data warehouses.
  • Design and optimize enterprise relational databases and implement data security standards.
  • Design, create, and optimize automated ETL pipelines and multi-database architectures.
  • Support AI/GenAI data engineering capabilities and cross-domain integration.
  • Mentor junior team members and promote cross-team data standards.

Skills

8+ years experience
Structured data
Semi-structured data
Visualization technologies
Analytical skills
Communication skills

Tools

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

Job description

Amatriot Group, LLC in Chantilly, VA seeks a Senior Data Engineer to build secure data pipelines, optimize large relational databases, and enable high-performance analytics of structured and semi-structured data. The role supports AI/GenAI workflows, multi-database architectures, and cross-domain integration while mentoring junior engineers.

The position demands strong SQL/ETL skills, experience with data security and performance tuning, and a TS-level clearance.

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