Graph Database / Backend Engineer

Position Type : Full-Time, Remote

Working Hours : U.S. Business Hours (CST)

About the Role

Our client builds advanced data intelligence systems that map complex ownership, legal, and property relationships using graph technology. Their platform relies heavily on Neo4j to structure, connect, and analyze highly relational data with precision, speed, and traceability.

We are seeking a Graph Database Engineer or Full-Stack Engineer with significant Neo4j and Cypher experience. The ideal candidate is strong on the backend, capable of owning the graph data model, optimizing complex queries, and building reliable ingestion and integration pipelines. This role is mission-critical in defining how data is modeled, computed, and delivered across people, properties, documents, transactions, and events.

Key Responsibilities

• Graph Data Modeling & Architecture : Design, refine, and maintain Neo4j graph schemas. Ensure data relationships are accurate, normalized, and high-performing. Implement schema updates aligned with product and technical priorities.
• Ownership, Lineage & Relationship Logic : Develop computation logic for ownership changes, temporal updates, and event transitions. Maintain data lineage, transfers, and history through optimized structures.
• Cypher Query Engineering : Build, optimize, and troubleshoot Cypher queries for traversal, lineage, analytics, and validation. Use PROFILE / EXPLAIN to diagnose performance issues and refactor queries. Create migration scripts and support large-scale graph operations
• Backend & Data Integration (Python or Full Stack) : Build backend services and ingestion pipelines (Python preferred; other backend languages acceptable if skilled in Neo4j integration). Integrate Neo4j with APIs, SQL / NoSQL sources, and analytical systems. Collaborate with engineering teams to onboard and structure new data sources
• Governance, QA & Data Reliability : Implement validation rules, constraints, QA checks, and auditability. Ensure schema compliance, reproducibility, and clean version control across graph changes

Required Skills & Experience

What You’ll Do

Key Performance Indicators (KPIs)

Interview Process

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