Graph Database Developer (Contractor)
Duration: 12 Months
Location: Remote within the USA (Texas Preferred)
Visa - NO H1B, opt cpt
Interview Timeline: Interviews scheduled by mid next week — Immediate submissions preferred.
Job Description
Accenture is seeking an experienced Graph Database Developer to design, develop, and maintain enterprise-scale graph database platforms. The ideal candidate will have strong expertise in Neo4j, Cypher, scalable data pipelines, and API development, along with experience integrating graph technologies into modern cloud-native environments.
Key Responsibilities
Architecture & Graph Modeling
- Design and architect scalable graph database schemas optimized for high-performance traversal and querying.
- Develop and maintain efficient graph data models for enterprise applications and knowledge graph use cases.
Data Engineering & Hydration
- Build and manage scalable ETL/ELT pipelines to hydrate graph databases from multiple upstream data sources.
- Ensure data integrity, consistency, and performance across large-scale graph environments.
API Development & Integrations
- Develop RESTful APIs, GraphQL endpoints, and A2A integration services to support orchestration workflows.
- Collaborate with cross-functional teams to integrate graph platforms with enterprise systems and AI-driven applications.
Deployment, Testing & Operations
- Develop, test, deploy, and support production-grade graph platforms.
- Ensure platform scalability, security, reliability, and high availability in cloud-native environments.
Required Skills & Qualifications
- Strong hands-on experience with Neo4j and Cypher Query Language.
- Experience designing and scaling graph database solutions in production environments.
- Proven expertise in ETL/ELT pipeline development for large-scale data hydration.
- Strong backend development skills in Python, Java, or Node.js.
- Experience building REST APIs and GraphQL services.
- Familiarity with A2A protocols and agent-based integration patterns.
- Strong understanding of data governance, data security, and enterprise data standards.
- Experience with Google Cloud Spanner is highly preferred.
Preferred Skills
- Experience with Neo4j Graph Data Science (GDS).
- Knowledge of ontology design and advanced knowledge graph architectures.
- Familiarity with event streaming technologies such as Apache Kafka.
- Experience with LLM/RAG integrations leveraging graph-based contextual retrieval.
- Hands-on experience with cloud-native deployments on AWS, Azure, or Google Cloud Platform.
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