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Senior Graph Engineer

Lorven Technologies, Inc.United States🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

Leverage your expertise in graph databases to design and implement cutting-edge knowledge graphs, driving AI-driven applications at Lorven Technologies. This hybrid role offers significant growth potential and the opportunity to lead impactful projects within a reputable company. If you have a passion for uncovering complex relationships within large datasets and a proven track record in graph engineering, this is an excellent opportunity to advance your career.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
19 hours ago

Job Description

Role: Senior Graph Engineer

Location: Florida & Remote

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.

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