Lead Consultant | Big Data - NoSQL | Graph Databases

Expedite Talent Solutions; Chicago (IL); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Expedite Talent Solutions is seeking a Lead Graph Developer to design and manage production graph databases in a hybrid Chicago-based setting. You will architect ontologies, implement Neptune databases, and drive graph data strategies across teams.

The role requires extensive experience with graph technologies, SPARQL/Gremlin, Python or JVM, and strong AWS skills. Candidates should be eligible for visa-independent work arrangements.

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Architecture, or related field.
• Graph databases: extensive hands-on experience with Amazon Neptune.
• Graph languages: Gremlin or SPARQL.
• Programming: advanced Python or JVM (Java/Scala) production coding.
• Cloud: strong AWS proficiency (S3, RDS, ECS).

Responsibilities

• Design enterprise ontologies, taxonomies, and graph schemas reflecting complex business structures.
• Architect, configure, and scale Amazon Neptune databases to handle billions of relationships.
• Integrate knowledge graphs into GraphRAG pipelines to enhance grounding and support hybrid search with vector databases.

Skills

Amazon Neptune Graph Database

SPARQL

Data Engineering

ETL Pipelines

GraphRAG

Education

Bachelor's/Master's in CS/DS/Information Architecture

Job description

Description: Job Title: Lead Graph Developer

Work Location: ChicagoIL60606

Vendor Rate: ***

Contract duration: 6

Target Start Date: 29 Jul 2026

Does this position require Visa independent candidates only? Yes

hybrid work set-up

Job Details:

Must Have Skills

• Amazon Neptune Graph Database, SPARQL


• Data Engineering / ETL Pipelines


• GraphRAG

Nice to have skills

• Gen AI integration, Python Backend API Development

Detailed 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

• Design enterprise ontologies, taxonomies, and graph schemas that reflect complex business structures.


• Architect, configure, and scale Amazon Neptune database environments to handle billions of relationships.


• Integrate knowledge graphs into GraphRAG 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

Any additional information you would like to share about the project specs/ nature of work

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