Precision Solutions-posted 7 months ago
Washington, DC
Professional, Scientific, and Technical Services

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.

  • 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
  • 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
  • Engineering experience with AWS systems
  • Experience with Neo4j database
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