Knowledge Graph Engineer

Virtusa Corporation; United States; Teletrabalho; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Virtusa Corporation is seeking a Knowledge Graph Engineer for a remote US-position to build, optimize, and scale graph data infrastructure and ingestion pipelines using Neo4j. The role focuses on designing production graph architectures and advanced Cypher queries.

You will integrate graphs with AI/ML workflows, implement data quality checks, and collaborate across teams to ensure scalable, reliable graph solutions in cloud environments.

Qualificações

• 3+ years of hands-on experience designing and operating graph databases, with a strong preference for Neo4j (Aura / Enterprise).
• Expert-level proficiency in Cypher and a solid understanding of graph data modeling (Labeled Property Graphs vs. RDF).
• Strong Python and SQL skills for data transformation, entity linking, and pipeline automation.
• Experience integrating graph databases with modern cloud data platforms (e.g., Databricks, AWS, Azure) or LLM frameworks (LangChain, LlamaIndex).
• Familiarity with semantic modeling concepts and ontology-driven schemas is a strong plus.

Responsabilidades

• Design, implement, and maintain production knowledge graph architectures using Neo4j.
• Build automated ETL/ELT ingestion pipelines to map relational, semi-structured, and unstructured data into scalable graph schemas.
• Write high-performance Cypher queries and optimize graph indexing, traversal speeds, and memory usage.
• Integrate knowledge graphs with downstream AI/ML workflows and agentic systems (GraphRAG, vector + graph hybrid search).
• Implement data quality checks, entity resolution, and graph lineage monitoring.

Conhecimentos

Neo4j

Cypher

Graph modeling

Python

SQL

Cloud platforms

LangChain

LlamaIndex

Ontology concepts

Data pipelines

Ferramentas

Databricks

AWS

Azure

Descrição da oferta de emprego

This is a remote position.

We are seeking a Knowledge Graph Engineer to build, optimize, and scale our graph data infrastructure and ingestion pipelines.

Key Responsibilities:

• Design, implement, and maintain production knowledge graph architectures using Neo4j.

• Build automated ETL/ELT ingestion pipelines to map relational, semi-structured, and unstructured data into scalable graph schemas.

• Write high-performance Cypher queries and optimize graph indexing, traversal speeds, and memory usage.

• Integrate knowledge graphs with downstream AI/ML workflows and agentic systems (GraphRAG, vector + graph hybrid search).

• Implement data quality checks, entity resolution, and graph lineage monitoring.

Work Schedule: During the onboarding phase, working hours may be adjusted to overlap with US hours until 7:00 PM at the latest.

Requirements

• 3+ years of hands-on experience designing and operating graph databases, with a strong preference for Neo4j (Aura / Enterprise).

• Expert-level proficiency in Cypher and a solid understanding of graph data modeling (Labeled Property Graphs vs. RDF).

• Strong Python and SQL skills for data transformation, entity linking, and pipeline automation.

• Experience integrating graph databases with modern cloud data platforms (e.g., Databricks, AWS, Azure) or LLM frameworks (LangChain, LlamaIndex).

• Familiarity with semantic modeling concepts and ontology-driven schemas is a strong plus.