Senior Graph Engineer

Lorven Technologies Inc.; Florida; On-site; USD 120,000 - 180,000; Full time

Job summary

Lorven Technologies Inc. seeks a Senior Graph Engineer to design scalable graph data models and knowledge graphs for complex business entities and relationships. You will drive production-grade graph database programs and contribute to advanced analytics and AI-driven applications.

You will lead architecture decisions, optimize performance, and mentor engineers while delivering large-scale graph solutions on AWS Neptune or Neo4j, with Python-based data processing and robust data pipelines.

Qualifications

• 12+ years of experience in data engineering or software engineering.
• At least 3 years hands-on graph engineering with large datasets.
• Delivered at least two large-scale graph database implementations in production.
• Experience with AWS Neptune or Neo4j.
• Proficiency in Python with AWS data services and scalable data processing.
• Strong understanding of graph modeling, query optimization, distributed systems, data quality, and production reliability.

Responsibilities

• Design and implement graph data models and knowledge graphs representing complex business entities, relationships, and domain concepts.
• Build, deploy, and optimize scalable, production-grade graph database solutions using AWS Neptune or Neo4j.
• Develop robust batch and streaming data pipelines to ingest, transform, validate, and maintain graph data.
• Write and optimize graph queries using Gremlin, Cypher, or SPARQL to enable relationship analysis, graph traversal, and business insights.
• Provide technical leadership through architecture decisions, engineering standards, performance optimization, and mentoring.

Skills

Graph engineering

Python

Distributed systems

Data quality

Production reliability

Tools

AWS Neptune

Neo4j

Gremlin

Cypher

SPARQL

Job description

We are seeking a Senior Graph Engineer with a proven track record of delivering large-scale, production-grade graph database implementations. The role will focus on building graph data models and knowledge graphs to uncover relationships, generate actionable insights, and support advanced analytics and AI-driven applications.

Key Responsibilities

- Design and implement graph data models and knowledge graphs representing complex business entities, relationships, and domain concepts.

- Build, deploy, and optimize scalable, production-grade graph database solutions using AWS Neptune or Neo4j.

- Develop robust batch and streaming data pipelines to ingest, transform, validate, and maintain graph data.

- Write and optimize graph queries using Gremlin, Cypher, or SPARQL to enable relationship analysis, graph traversal, and business insights.

- Provide technical leadership through architecture decisions, engineering standards, performance optimization, and mentoring.

Required Qualifications

- 12+ years of experience in data engineering or software engineering, including at least 3 years of hands-on graph engineering experience involving large datasets.

- Must have delivered at least two large-scale graph database implementations in production, with demonstrated ownership of architecture, implementation, performance, and operational readiness.

- Strong hands-on expertise in AWS Neptune or Neo4j; expertise in both is not required.

- Proficiency in Python with experience in AWS data services and scalable data processing.

- Strong understanding of graph modeling, query optimization, distributed systems, data quality, and production reliability.