Senior Systems Engineer - Secure Cloud & Data AI (TS/SCI)

BluePath Labs (8(a) & SDVOSB)

Chantilly (VA)

On-site

USD 135,000 - 175,000

Full time

3 days ago
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Benefits offered by this job

Healthcare
FSA
401(k) with company match
Paid time off
12 holidays per year

Job summary

BluePath Labs in Chantilly, VA is seeking a Systems Engineer with strong Data Engineering to design, secure, and optimize mission-critical data solutions. This role combines ETL/AI/ML data engineering, secure cloud architecture, and Neo4j graph databases with Cypher, Python, and Java development in a classified AWS environment. U.S.

citizenship and an active TS/SCI with polygraph are required. Candidates should have BS/BA with at least 5 years of Sponsor experience, hands-on ETL, data modeling,

Qualifications

  • BS/BA required with sponsor experience
  • Active TS/SCI clearance with polygraph required
  • 5+ years of sponsor experience or equivalent
  • Experience with ETL pipelines, data modeling, and AI/ML data engineering

Responsibilities

  • Design, build, and optimize ETL pipelines for AI/ML projects
  • Analyze and visualize medium to large datasets
  • Develop Neo4j graph database schemas and Cypher queries
  • Develop software components in Cypher, Python, Java, or JavaScript
  • Maintain documentation for datasets, queries, security artifacts, engineering decisions

Skills

Data engineering
ETL pipelines
Python
Cypher
Java
Neo4j
Docker
Kubernetes
Security clearance TS/SCI
U.S. citizenship

Education

Bachelor’s degree

Tools

Neo4j
Cypher
JavaScript

Job description

BluePath Labs in Chantilly, VA is seeking a Systems Engineer with strong Data Engineering to design, secure, and optimize mission-critical data solutions. This role combines ETL/AI/ML data engineering, secure cloud architecture, and Neo4j graph databases with Cypher, Python, and Java development in a classified AWS environment. U.S.

citizenship and an active TS/SCI with polygraph are required. Candidates should have BS/BA with at least 5 years of Sponsor experience, hands-on ETL, data modeling,

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