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Neo4j Developer

This Data Engineer role will be responsible for designing, implementing, and optimizing graph-based solutions using Neo4j. You will work closely with data scientists, software engineers, and other stakeholders to create scalable, high-performance graph database architectures. This role requires a combination of strong development skills and strategic thinking to integrate Neo4j solutions that meet business needs.

Key Responsibilities:

  • Design, develop, and maintain Neo4j graph database models and architectures.
  • Collaborate with stakeholders to understand data needs and implement efficient graph-based solutions.
  • Optimize existing Neo4j database performance, including tuning queries and graph structure.
  • Develop custom Cypher queries and implement procedures for various data manipulation tasks.
  • Integrate Neo4j solutions with existing enterprise systems.
  • Provide guidance and technical leadership on graph database best practices.
  • Develop documentation for system architecture, design, and operational processes.
  • Stay updated with the latest Neo4j updates and graph database technologies.

Required Skills and Qualifications:

  • 3+ years of experience in Neo4j development and architecture.
  • Strong knowledge of graph theory and its application in data solutions.
  • Expertise in Cypher query language and graph data modeling.
  • Experience with performance tuning of Neo4j databases.
  • Proficiency in programming languages like Java, Python, or JavaScript.
  • Hands-on experience with cloud platforms and Neo4j cloud deployments is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.
  • Experience in other graph databases or NoSQL technologies.

Preferred Qualifications:

  • Neo4j Certified Professional certification.
  • Familiarity with integration frameworks (e.g., APIs, REST, or Kafka).
  • Background in building enterprise-level solutions involving large datasets.
  • Knowledge of data visualization tools for graph data (e.g., Neo4j Bloom, Process Tempo).



U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state, or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

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