Minimum of 5 years of experience with a BS/BA, including 2 years of Sponsor experience
Hands-on experience with ETL pipelines and AI/ML data engineering
Proficiency in at least one programming language (Cypher, Python, Java)
Experience with Neo4j and Cypher query language
Demonstrated ability to clean, model, and visualize medium to large datasets
Familiarity with Docker and Kubernetes for software virtualization
Strong communication skills for diverse audiences
Responsibilities
Design, build, and optimize ETL pipelines for AI/ML projects
Clean, preprocess, analyze, and visualize datasets using modern methods
Build and optimize Neo4j graph database solutions
Develop software components in Cypher, Python, Java, or JavaScript
Maintain documentation for datasets, queries, and engineering decisions
Benefits
Competitive benefits package including medical, dental, and vision
Immediate 401k vesting
Generous PTO and flexible schedules
$500 annual technology allowance
Full Job Description
We are seeking a highly skilled Systems Engineering with strong Data Engineering experience to design, secure, and optimize mission-critical data solutions. This role blends system engineering, secure cloud architecture, advanced analytics, ETL/AIML data engineering, virtualization technologies, and modern development practices. The ideal candidate has experience operating in classified AWS environments, developing with Cypher/Python/Java, and working with graph technologies, while communicating complex concepts effectively to diverse stakeholders.
Key Responsibilities:
Design, build, and optimize ETL pipelines, including data flows supporting AI/ML/LLM projects and large-scale analytics.
Clean, preprocess, analyze, and visualize mediumtolarge 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.
Required Qualifications:
Active TS/SCI with polygraph
Minimum of 5 years with BS/BA including at least 2 years of Sponsor experience
Hands-on experience with ETL pipelines, data modeling, activity modeling, and AI/MLsupportive data engineering
Proficiency in at least one programming language (Cypher, Python, Java)
Experience with graphing database technologies (Neo4j and Cypher query language expertise preferred)
Demonstrated experience cleaning, modeling, and visualizing mediumtolarge datasets
Experience developing dashboards or system visualizations
Experience operating with modern software virtualization tools like Docker, Kubernetes
Understanding of cloud infrastructure in High security environments (classified)
Ability to clearly communicate complex technical concepts to both technical and nontechnical audiences
Customer-specific experience supporting mission systems or classified programs
Desired Qualifications
Exposure to AI/ML or LLM system engineering and data workflows
Familiarity with Agile development frameworks and cloudnative design patterns
Experience visualizing data in Tableau
RCT Systems offers:
Competitive benefits package (medical, dental, vision, life insurance)
