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Graph Database Engineer

Precision Solutions

Today
Top Secret/SCI
Mid Level Career (5+ yrs experience)
$150,000 and above
No Traveling
IT - Database
Washington, DC (On-Site/Office)

Graph Database Engineer
Hybrid | Nebraska Avenue Campus, D.C. | 50% Onsite
Active TS/SCI Clearance Required

Summary
Our client is an employee- and service-disabled veteran-owned small business specializing in providing niche technical services. They are a team of experienced cybersecurity professionals with a proven track record of success in federal, Commercial, and academic settings. Additionally, our client designs, builds, operates, and secures scalable cloud and IT infrastructures to meet their customers’ near-term needs and fulfill their long-term requirements.

Responsibilities
Our client is seeking a Graph Database Engineer to join their team! This role is ideal for a data engineering professional with a passion for cutting-edge technologies, such as vector databases and large language models (LLMs). You’ll play a key role in designing and optimizing graph-based solutions, building scalable pipelines, and supporting Retrieval-Augmented Generation (RAG) initiatives in an AWS environment.

Design, implement, and maintain ETL pipelines tailored to graph-based data structures
Develop and optimize graph database queries using Cypher, SPARQL, or GQL
Build and sustain ontologies and knowledge graphs for scalable data modeling
Integrate vector databases and implement similarity search techniques supporting GraphRAG and RAG workflows
Collaborate with data scientists and engineers to integrate machine learning models with graph databases
Apply Large Language Models (LLMs) to meet functional and business use cases
Ensure data quality, consistency, and security across all engineered solutions
Communicate with stakeholders to understand business requirements and deliver graph-driven solutions

Requirements
6+ years of hands-on experience in data engineering
3+ years of experience working with graph databases
Proficiency in Python and PySpark
Advanced knowledge of Cypher, SPARQL, or GQL querying languages
Strong expertise in designing and optimizing ETL processes for graph data
Experience creating ontologies and presenting data for GraphRAG-based solutions
Solid understanding of similarity search and RAG implementations using vector databases
Experience working with Large Language Models (LLMs)
Excellent written and verbal communication skills

Education/Certification Requirements
A bachelor's degree from an accredited university is required

Preferred Qualifications
Engineering experience with AWS systems
Experience with Neo4j databases preferred

Clearance Requirements
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; an active TS/SCI clearance is required.

Other Duties
Please note that this job description is not intended to be a comprehensive listing of all activities, duties, or responsibilities required of the employee in this role. Duties, responsibilities, and activities are subject to change at any time, with or without notice.

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About Us
Northern Virginia-based Precision Solutions is an expert in staffing solutions for companies of all sizes, opening doors to new opportunities and seeking outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company.

Equal Opportunity Employer Statement
Precision Solutions is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
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Job Category
IT - Database
Clearance Level
Top Secret/SCI