Systems Engineer - Onsite, Chantilly, VA

BluePath Labs•Chantilly, VA

2d•Onsite

About The Position

BluePath Labs is seeking a Systems Engineer with strong data engineering experience to design, secure, and optimize mission-critical data solutions. The role combines systems engineering, secure cloud architecture, advanced analytics, ETL and AI/ML data engineering, virtualization technologies, and modern development practices. The ideal candidate has experience operating in classified AWS environments, developing with Cypher, Python, or Java, and working with graph technologies. The role also requires communicating complex concepts effectively to technical and nontechnical stakeholders. U.S. citizenship and an active TS/SCI clearance with a relevant polygraph are required. The position is based onsite in Chantilly, Virginia, and pays $135,000–$175,000 annually.

Requirements

U.S. citizenship.
Active TS/SCI clearance with a relevant polygraph.
At least 5 years of experience with a bachelor's degree, including at least 2 years of Sponsor experience.
Hands-on experience with ETL pipelines, data modeling, activity modeling, and AI/ML-supportive data engineering.
Proficiency in at least one programming language: Cypher, Python, or Java.
Experience with graph database technologies; Neo4j and Cypher query language expertise preferred.
Demonstrated experience cleaning, modeling, and visualizing medium to large datasets.
Experience developing dashboards or system visualizations.
Experience with modern software virtualization tools such as Docker and Kubernetes.
Understanding of cloud infrastructure in classified, high-security environments.
Ability to clearly communicate complex technical concepts to technical and nontechnical audiences.
Customer-specific experience supporting mission systems or classified programs.

Nice To Haves

Exposure to AI/ML or LLM system engineering and data workflows.
Familiarity with Agile development frameworks and cloud-native design patterns.
Experience visualizing data in Tableau.

Responsibilities

Design, build, and optimize ETL pipelines, including data flows for AI/ML/LLM projects and large-scale analytics.
Clean, preprocess, analyze, and visualize medium to large datasets using modern analytic and statistical methods.
Build and optimize Neo4j graph database solutions, including schema design, relationship modeling, and efficient Cypher query development.
Develop software components in Cypher, Python, Java, or JavaScript, following secure development practices.
Maintain documentation for datasets, queries, security artifacts, engineering decisions, and developed software components.