Data Engineer with Amazon Neptune and Gremlin or SPARQL Exp

HUMAC INC.; Chicago (IL); Hybrid; USD 120,000 - 160,000; Full time

Job summary

HUMAC INC in Chicago, IL is seeking a Data Engineer with hands-on experience designing production-grade graph solutions using Amazon Neptune. The role is hybrid and based in Chicago, with potential in-person interview for client rounds.

The candidate should have 10+ years of data engineering experience, with strong skills in SPARQL/Gremlin, ETL pipelines, and graph databases. Proficiency in Python or JVM languages and AWS services is desirable.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Architecture, or related field.
• Hands-on experience with Amazon Neptune, graph databases, and production-scale deployments.
• Proficiency with graph query languages Gremlin and SPARQL.
• Strong programming skills in Python or JVM languages (Java/Scala).
• Cloud infrastructure experience with AWS services such as S3, RDS, ECS.

Responsibilities

• Design, implement, and manage production-grade graph data solutions using Amazon Neptune.
• Develop and maintain ETL pipelines for large-scale data processing.
• Work with Gremlin/SPARQL for graph querying and analytics.
• Develop backend APIs in Python or JVM environments and optimize performance.

Skills

Amazon Neptune

Gremlin

SPARQL

ETL Pipelines

Data Engineering

GraphRAG

Python

Backend API Development

Education

Bachelor's or Master's degree in Computer Science, Data Science, Information Architecture, or related field

Tools

Python

Java

Scala

AWS

Job description

Data Engineer with Amazon Neptune and Gremlin or SPARQL Exp

Chicago, IL (Hybrid)

Exp: 10+ Years (Less than 10 Years is not considered.

Preferred Locals. There may be In-Person Interview for client round.

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

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

Thanks..

Kumar P

IT Analyst, Humac Inc

Phoenix, AZ 85027

Email id: