Point72 / Cubist
Data Engineer, Knowledge Graph
$200K–$300K
New York, NY +1 · Full-time · Posted Aug 12, 2026
- Location
- New York, NY
North America - Experience
- 3+ years in knowledge graph engineering, graph database development, or related work.
About the job
Build and advance a financial knowledge graph platform that connects companies, industries, and economic insights to support investment research and decision-making.
What you'll do
- Design financial knowledge graph architecture and data models for complex relationships.
- Build graph pipelines for data ingestion, transformation, knowledge extraction, and analytics.
- Set development and maintenance practices and encourage adoption of graph solutions across Market Intelligence.
What they ask for
- 3+ years of experience in knowledge graph engineering, graph database development, or related work.
- Expertise in graph data modeling, ontology design, and semantic technologies; hands-on experience with at least one major graph database.
- Advanced programming skills in Python or another high-level language, plus experience integrating diverse data sources into unified knowledge graphs.
- Experience leading technical teams, mentoring engineers, hiring specialized talent, and implementing change management for technical initiatives.
Nice to have
- Experience with Neo4j, TigerGraph, or Amazon Neptune.
- Demonstrated ability to work effectively with challenging stakeholders.
Pay
$200,000-$300,000 USD base salary
Tools
Neo4j, TigerGraph, Amazon Neptune, Python
Model-written summary · the original posting is authoritative