Graph Database Engineer

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 focused on providing niche technical services. They are a team of experienced cybersecurity professionals with a track record of success in the Federal, Commercial, and Academic workspaces. 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 like 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 maintain 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

5+ 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

None

Preferred Qualifications

Engineering experience with AWS systems

Experience with Neo4j database

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 DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. About UsNorthern Virginia-based Precision Solutions is an expert in staffing solutions for companies of any size that open the door to new opportunities and seek outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each individual client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company. Equal Opportunity Employer StatementPrecision 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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