emberos
Neo4j Engineer / Applied Data Scientist
emberos, Los Angeles, California, United States, 90079
Job Overview
We’re looking for a computer scientist or back-end engineer with deep experience in Neo4j and graph-based systems to help extend and operationalize our data intelligence infrastructure. You’ll work on projects that connect cross-customer insights, detect emerging patterns, and power recommendation and readiness tools for AI-driven decision-making. Workplace Type
Remote Job Type
Contract, with the potential for an extension and/or full-time employment Contract Length
5 weeks to start Contract Start Date
The week of October 20, 2025 Responsibilities
Extend and optimize the Neo4j schema to support complex relational data (tiers, metrics, classifications, event nodes, etc.) Develop ingestion and classification pipelines that automatically tag and route new data inputs Create and maintain APIs for analytics, reporting, and system integrations (HubSpot, Jira, Slack) Build and test logic for automated alerts, recommendations, and system responses Collaborate with AI and product teams to ensure data models align with real-world use cases Example Tasks
Postgres Fact Tables: Create daily partitioned tables for tiered metrics and results API Endpoints: Implement /tiers/:tier/metrics , /events/:id , /fixpacks/:id/effects with RBAC Ingestion Classification Logic: Implement prompt classifier (BOS/CDS/IES) in pipeline Qualifications
3+ years of hands-on experience with Neo4j (Cypher queries, schema design, performance optimization) Bachelor’s or Master’s in Computer Science, Data Science, or related field Strong understanding of data modelling, graph traversal, and API development Experience with Postgres, RESTful APIs, and Python or Node.js Familiarity with automation and workflow tools (e.g., Slack, Jira, HubSpot) Bonus
Experience with AI systems or knowledge representation frameworks Understanding of data lineage, observability, and automated governance
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We’re looking for a computer scientist or back-end engineer with deep experience in Neo4j and graph-based systems to help extend and operationalize our data intelligence infrastructure. You’ll work on projects that connect cross-customer insights, detect emerging patterns, and power recommendation and readiness tools for AI-driven decision-making. Workplace Type
Remote Job Type
Contract, with the potential for an extension and/or full-time employment Contract Length
5 weeks to start Contract Start Date
The week of October 20, 2025 Responsibilities
Extend and optimize the Neo4j schema to support complex relational data (tiers, metrics, classifications, event nodes, etc.) Develop ingestion and classification pipelines that automatically tag and route new data inputs Create and maintain APIs for analytics, reporting, and system integrations (HubSpot, Jira, Slack) Build and test logic for automated alerts, recommendations, and system responses Collaborate with AI and product teams to ensure data models align with real-world use cases Example Tasks
Postgres Fact Tables: Create daily partitioned tables for tiered metrics and results API Endpoints: Implement /tiers/:tier/metrics , /events/:id , /fixpacks/:id/effects with RBAC Ingestion Classification Logic: Implement prompt classifier (BOS/CDS/IES) in pipeline Qualifications
3+ years of hands-on experience with Neo4j (Cypher queries, schema design, performance optimization) Bachelor’s or Master’s in Computer Science, Data Science, or related field Strong understanding of data modelling, graph traversal, and API development Experience with Postgres, RESTful APIs, and Python or Node.js Familiarity with automation and workflow tools (e.g., Slack, Jira, HubSpot) Bonus
Experience with AI systems or knowledge representation frameworks Understanding of data lineage, observability, and automated governance
#J-18808-Ljbffr