Graph Database Engineer

Job Title:- Graph Database Engineer

Location:- Charlotte NC - Onsite

Job Type:- Contract

JD:-

Job description:

We are seeking a Graph Database Engineer with strong hands on experience in Neo4j to design and deliver graph based fraud detection solutions. The role focuses on modeling complex relationships across transactions customers accounts devices and merchants to uncover hidden fraud patterns and networks.

You will work closely with fraud analysts data engineers and data scientists to enable both real time and investigative fraud use cases.

Key Responsibilities

Design and implement Neo4j graph data models for fraud and risk analytics

Develop optimize and maintain Cypher queries for deep relationship traversal and pattern detection

Support fraud use cases such as entity resolution fraud rings collusion analysis and network exploration

Build and maintain data ingestion pipelines from RDBMS data lakes files and streaming sources

Perform query tuning indexing and schema optimization for performance and scalability

Integrate Neo4j with applications and services using drivers APIs or microservices

Collaborate with fraud analytics and engineering teams to translate requirements into graph solutions

Assist in production support troubleshooting and monitoring of graph platforms

Contribute to documentation best practices and platform improvements

Required Skills & Qualifications

4 to 8 years of overall IT experience

Strong hands on experience with Neo4j Graph Database

Solid expertise in Cypher query language

Good understanding of graph data modeling and graph concepts

Experience working on fraud AML risk or financial analytics use cases

Proficiency in Python and/or Java

Experience with ETL/ELT pipelines and data integration

Familiarity with performance tuning indexing and constraints in Neo4j

Strong analytical problem solving and communication skills