> Markdown version of [/jobs/ext/3732206-lead-graph-data-engineer-neo4j](https://www.wearedevelopers.com/jobs/ext/3732206-lead-graph-data-engineer-neo4j). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Graph Data Engineer Neo4j

- **Company:** Acunor Infotech
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Cloud Computing, Cloud Engineering, Computer Programming, Data as a Services, Data Architecture, Information Engineering, Data Systems, Distributed Computing Environment, Graph Database, Information Retrieval, Python (Programming Language), Neo4j, Query Optimization, Search Technologies, Semantic Web, SPARQL, Data Streaming, Systems Integration, Data Ingestion, Large Language Models, Apache Spark, Infrastructure as Code (IaC), Kubernetes, Infrastructure Automation Frameworks, AWS Data Analytics, Apache Kafka, Graph RAG, Data Pipelines
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/238b8413-2cdc-430f-aaf0-79c722a486e5

## About the Role

* Bachelor's degree with 12 15 years of experience in Data Engineering, including at least 3 years of hands-on production graph engineering experience.
 * Strong hands-on expertise with AWS Neptune or Neo4j in production environments.
 * Experience designing graph models, ontologies, and graph-based data architectures.
 * Proficiency in at least one graph query language: Cypher, Gremlin, or SPARQL.
 * Strong programming skills in Python or Java.
 * Practical experience with AWS cloud infrastructure and data services.
 * Experience with at least one of the following: Apache Spark, Apache Kafka, or Apache Airflow.
 * Experience implementing Infrastructure as Code (IaC).
 * Understanding of AI/LLM integration with graph databases, particularly GraphRAG and semantic search.
 * Ability to provide technical guidance, mentor engineers, and establish engineering standards.

Preferred Qualifications

 * Experience with RDF, OWL, and semantic web technologies.
 * Knowledge of graph algorithms and graph analytics.
 * Exposure to LangChain or similar LLM orchestration frameworks.
 * Experience with vector databases and hybrid graph-vector retrieval architectures.
 * AWS or Neo4j certifications.

## Description

We are seeking an experienced Lead Graph Data Engineer with strong expertise in graph databases, data engineering, and cloud-native architectures.

The ideal candidate will have hands-on experience designing and deploying production-grade graph solutions using AWS Neptune or Neo4j, building scalable data pipelines, and integrating knowledge graphs with AI/LLM applications.

This role requires strong technical ownership, expertise in graph modeling and query optimization, and the ability to establish engineering standards while mentoring team members., * Design and implement graph data models, knowledge graphs, and ontologies for complex business datasets.

 * Build, deploy, optimize, and maintain production-grade graph databases using AWS Neptune or Neo4j.
 * Develop scalable batch and streaming data pipelines for graph data ingestion and transformation.
 * Write, optimize, and troubleshoot graph queries using Cypher, Gremlin, or SPARQL.
 * Integrate knowledge graphs with Large Language Models (LLMs) to support GraphRAG and semantic search applications.
 * Leverage AWS data services to build reliable, scalable graph data solutions.
 * Develop and maintain data engineering components using Python or Java.
 * Work with distributed processing and orchestration technologies such as Apache Spark, Kafka, or Airflow.
 * Implement infrastructure automation using Infrastructure as Code (IaC) practices.
 * Establish graph engineering standards, promote best practices, and mentor engineers.