Precision Solutions
Graph Database Engineer
Hybrid | Nebraska Avenue Campus, D.C. | 50% Onsite Active TS/SCI Clearance Required 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 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. 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 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 A bachelor's degree from an accredited university is required Engineering experience with AWS systems preferred Experience with Neo4j databases preferred 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. 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. 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.
Hybrid | Nebraska Avenue Campus, D.C. | 50% Onsite Active TS/SCI Clearance Required 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 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. 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 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 A bachelor's degree from an accredited university is required Engineering experience with AWS systems preferred Experience with Neo4j databases preferred 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. 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. 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.