> Markdown version of [/jobs/ext/4009652-neo4j-developer](https://www.wearedevelopers.com/jobs/ext/4009652-neo4j-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Neo4j Developer - **Company:** Macpower Digital Assets Edge LLC - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, Data Analysis, Cloudera Impala, Databases, Information Engineering, Database Queries, Graph Database, Python (Programming Language), Machine Learning, Microsoft SQL Server, Neo4j, Systems Development Life Cycle, Standard Sql, Data Ingestion, Apache Spark, Information Technology, Apache Kafka, Stream Processing - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/d3285f42-b76a-4361-9647-5146af21d4b8/neoj-developer ## About the Role * Minimum 3 years of experience in Money Movement or Trade Monitoring (AML, Fraud, Surveillance) within Wealth Management / Financial Services. * 8 years of overall IT experience, including 3 years at Architect / Senior Developer level with Neo4j. * Strong expertise in Neo4j Graph Database, including: + Cypher queries + Graph Data Science + Data ingestion + Query performance tuning (indexes, modeling, optimization techniques) + Reviewing and recommending Neo4j infrastructure and configuration for optimal performance and resilience Technical Skills: * Python Programming: + Batch data engineering with Apache Spark to populate Neo4j and generate downstream feeds for Data Science. + Real-time service integration with Kafka to process events and persist in Neo4j. + Stream processing for ML model feature derivation. * Analytics & AI/ML: Strong experience in solving complex graph problems using advanced analytics and machine learning. * SQL Expertise: Strong SQL skills to query databases such as SQL Server and Impala. Additional Skills * Experience across all phases of SDLC: requirements analysis, data analysis, modeling, development, testing, and deployment. * Excellent verbal and written communication skills. * Strong interpersonal skills with a professional approach. * Analytical mindset and problem-solving abilities. * Ability to quickly learn new techniques and technologies.