Senior Graph Database / GraphRAG Engineer

We are looking for an experienced Senior Graph Database / GraphRAG Engineer with 10+ years of software and data engineering experience and strong hands-on expertise with Amazon Neptune, SPARQL, graph databases, data engineering/ETL pipelines, and GraphRAG . The ideal candidate will have experience designing and managing production-scale graph database solutions, developing graph-based data pipelines, and integrating graph technologies with modern AI/Generative AI solutions.

<.>Job Description Senior Graph Database / GraphRAG Engineer

Job Title: Senior Graph Database / GraphRAG Engineer
Location: Chicago, IL 60606
Duration: 6 Months Contract
Work Setup: Hybrid
Experience: 10+ Years

Job Summary

We are looking for an experienced Senior Graph Database / GraphRAG Engineer with 10+ years of software and data engineering experience and strong hands-on expertise with Amazon Neptune, SPARQL, graph databases, data engineering/ETL pipelines, and GraphRAG.

The ideal candidate will have experience designing and managing production-scale graph database solutions, developing graph-based data pipelines, and integrating graph technologies with modern AI/Generative AI solutions.

Must-Have Skills

• Extensive hands-on experience with Amazon Neptune Graph Database
• Strong expertise in SPARQL
• Experience with Gremlin and graph query languages
• Strong background in Data Engineering and ETL Pipelines
• Hands-on experience designing and implementing GraphRAG solutions
• Advanced programming experience in Python, Java, or Scala
• Strong experience with AWS cloud services
• Experience with production-scale data and graph architectures
• Strong understanding of graph data modeling and graph database design

Key Responsibilities

• Design, develop, and manage production-scale Amazon Neptune graph database environments.
• Develop graph data models and implement efficient graph queries using SPARQL and/or Gremlin.
• Build and maintain scalable data engineering and ETL pipelines to ingest, transform, and load data into graph databases.
• Design and implement GraphRAG architectures integrating graph databases with AI/LLM-based applications.
• Develop backend services and data processing applications using Python, Java, or Scala.
• Integrate graph data with enterprise data sources and downstream applications.
• Optimize graph queries, database performance, data ingestion, and overall system scalability.
• Develop APIs and services for accessing graph-based data where required.
• Collaborate with data engineers, software engineers, architects, and AI/ML teams.
• Implement data quality, validation, monitoring, and troubleshooting processes.
• Support deployment and operation of graph and data engineering solutions in AWS environments.

Nice-to-Have Skills

• Experience with Generative AI / GenAI integration
• Experience integrating LLMs with GraphRAG
• Python backend/API development using frameworks such as FastAPI or Flask
• Experience with AWS S3, Amazon RDS, Amazon ECS
• Experience with vector databases, embeddings, or semantic search
• Knowledge of prompt engineering and LLM application development
• Experience with Docker/Kubernetes
• Experience with CI/CD and infrastructure automation

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Information Architecture, or a related technical field.

Required Experience

• 10+ years of overall software/data engineering experience.
• Strong hands-on experience with Amazon Neptune and SPARQL.
• Proven experience building ETL/data pipelines.
• Hands-on experience with GraphRAG and graph-based solutions.
• Strong production programming experience in Python, Java, or Scala.
• Strong AWS/cloud infrastructure experience.