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Graph Database / Graph RAG Engineer

StratEdge It consulting INCChicago, IL🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to innovate at the intersection of graph databases and AI, building cutting-edge data platforms with a competitive hourly rate. You'll thrive here if you have extensive experience with Amazon Neptune, SPARQL, and data engineering, and are eager to contribute to groundbreaking Graph RAG pipelines. Apply now to leverage your skills in a dynamic consulting environment!

Quick Overview

Salary
$43/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Chicago, IL, United States
Posted
Yesterday
ScalaAWSETLJavaPython

Job Description

Job Title: Graph Database / Graph RAG Engineer

Work Location: Chicago, IL 60606

Rate: $43/hr w2 or $50/hr c2c

Client: INFOSYS

Position: 2

Contract duration: 6

Target Start Date: 01 Oct 2026

hybrid work set-up

Job Details

Must have skills

Amazon Neptune Graph Database, SPARQL

Data Engineering / ETL Pipelines

Graph RAG

Nice to Have Skills

Gen AI integration, Python Backend API Development

Job Description

Education Bachelors or Masters degree in Computer Science, Data Science, Information Architecture, or a related field.

Graph Databases Extensive hands on experience designing and managing production scale instances of Amazon Neptune.

Graph languages, specifically Gremlin or SPARQL.

Programming Advanced production coding in Python or JVM environments Java, Scala.

Cloud Infrastructure Strong proficiency with AWS Services e.g., AWS S3, Amazon RDS, Amazon ECS

Minimum years of experience

>10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute

Should be able to build data platform

Stakeholder Client Communication

Integrate knowledge graphs into Graph RAG pipelines to enhance contextual grounding and minimize AI hallucinations. Partner with AI teams to implement hybrid search architectures combining graph traversals with vector databases.

Interview Process (Is face to face required?)

No

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