Acunor

Role: Lead Graph Data Engineer – AWS Neptune / Neo4j / GraphRAG
Location:
Remote – USA
Employment Type:
Contract
Experience:
12+
We are looking for an experienced
Lead Graph Data Engineer
to design and deliver production-grade graph database solutions, scalable data pipelines, and AI-powered knowledge graph applications.
Key Responsibilities
<ul>
<li>Design and implement graph data models, knowledge graphs, and ontologies.</li>
<li>Build and optimize production graph databases using
AWS Neptune or Neo4j
.</li>
<li>Develop scalable batch and streaming data pipelines.</li>
<li>Write and optimize graph queries using
Cypher, Gremlin, or SPARQL
.</li>
<li>Integrate knowledge graphs with LLMs for
GraphRAG and semantic search
.</li>
<li>Build data engineering solutions using Python/Java and AWS services.</li>
<li>Work with Spark, Kafka, or Airflow for data processing and orchestration.</li>
<li>Implement Infrastructure as Code (IaC) and establish graph engineering best practices.</li>
<li>Mentor engineers and provide technical leadership.</li>
</ul>
Must-Have Skills
<ul>
<li>12–15 years
of Data Engineering experience, including 3+ years of production graph engineering.</li>
<li>Hands-on experience with
AWS Neptune or Neo4j
.</li>
<li>Graph modeling, knowledge graphs, and ontologies.</li>
<li>Proficiency in
Cypher, Gremlin, or SPARQL
.</li>
<li>Strong Python or Java programming skills.</li>
<li>AWS cloud infrastructure and data services.</li>
<li>Experience with
Apache Spark, Kafka, or Airflow
.</li>
<li>Infrastructure as Code (IaC).</li>
<li>Knowledge of LLM integration,
GraphRAG, and semantic search
.</li>
<li>Technical leadership and mentoring experience.</li>
</ul>

Lead Graph Data Engineer – AWS Neptune / Neo4j / GraphRAG

Lead Graph Data Engineer – AWS Neptune / Neo4j / GraphRAG

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