Knowledge Graph Engineer

🔥 29 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 21 days.
• No salary listed.

Apply Now

Find Similar Remote Jobs

Virtusa

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

💰 $108M Post-IPO Equity - Virtusa on 2017-05

Consulting • Enterprise • Artificial Intelligence

Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.

📋 Description

• 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, including GraphRAG and vector + graph hybrid search • Implement data quality checks, entity resolution, and graph lineage monitoring

🎯 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 • 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume