Neo4J

Job Title: Neo4j Developer / Data Engineer Location: New York, NY (Hybrid – 3 days onsite per week) Rate: DOE Experience Level: Senior (8+ years total, 5+ years in Neo4j) Position Overview: We are seeking a highly skilled Neo4j Developer with strong expertise in graph database technologies and data analytics to join our dynamic team in New York. The ideal candidate will have deep hands-on experience designing, optimizing, and deploying Neo4j-based solutions, with a focus on performance tuning, Cypher query optimization, and leveraging Neo4j’s built-in algorithms. This hybrid role requires collaboration with both technical and business teams, particularly in the Fraud and AML (Anti-Money Laundering) domains, to build scalable, data-driven solutions that uncover patterns and insights from complex data relationships. Key Responsibilities: • Design, develop, and maintain Neo4j graph database models and structures. • Write and optimize Cypher queries and apply out-of-the-box Neo4j algorithms to solve complex business problems. • Perform query performance tuning and implement optimization strategies (e.g., indexing, data modeling improvements). • Participate in all phases of the Software Development Life Cycle (SDLC)—from business requirements and data analysis to architecture, development, testing, and deployment. • Collaborate closely with Fraud, AML, and compliance teams to translate business needs into technical solutions. • Conduct data analysis and build data-driven insights to support business decisions. • Provide documentation, best practices, and recommendations for ongoing graph data management and governance. • Communicate effectively with cross-functional teams and stakeholders in a hybrid work environment. Required Qualifications: • 8+ years of overall IT experience with 5+ years in Neo4j Graph Database. • Deep expertise in Cypher query language and Neo4j’s native algorithms. • Proven experience in query optimization and performance tuning. • Strong background in data architecture, data modeling, and analytics. • Hands-on experience working with Fraud Detection, AML, or similar analytical business domains. • Strong understanding of SDLC processes and agile methodologies. • Excellent communication, interpersonal, and presentation skills. Preferred Skills: • Experience integrating Neo4j with other data platforms or visualization tools. • Familiarity with Python, Spark, or other data processing frameworks. • Exposure to cloud platforms (AWS, Azure, or GCP) for Neo4j deployments.