Graph Database Engineer

Precision Solutions • Washington, DC

277d

About The Position

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. 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.

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

Nice To Haves

• Engineering experience with AWS systems
• Experience with Neo4j database

Responsibilities

• 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

What This Job Offers

• Industry: Professional, Scientific, and Technical Services