Data Engineer with Neo4j and Spanner Graph

Position: Data Engineer with Neo4j and Spanner Graph

Location: Remote

Duration: 5 Months with strong possibility of extension

Interviews: (3 Rounds): All the interviews within one week.

Description: We''re looking for a Data Engineer with strong graph database expertise to support migration, modeling, and analysis work involving Neo4j and Spanner Graph. This role also involves working with data agents and applying graph algorithms to solve relationship-based data problems.

Key Responsibilities:

• Design and implement graph data models in Neo4j and Spanner Graph
• Support migration or interoperability efforts between Neo4j and Spanner Graph
• Apply graph algorithms (e.g., shortest path, centrality, community detection, PageRank) to solve business and analytical problems
• Build and integrate data agents to support graph-based querying, analysis, or automation workflows
• Optimize graph queries for performance at scale (Cypher for Neo4j, GQL/SQL for Spanner Graph)
• Collaborate with data science/analytics teams to translate relationship-based problems into graph solutions
• Document graph schema design decisions and algorithm choices for maintainability

Required Skills & Experience:

• Hands-on experience with Neo4j (Cypher query language, graph data modeling)
• Experience with Spanner Graph or willingness/ability to quickly ramp up on Google Cloud Platform''s graph offering
• Strong understanding of graph algorithms and when to apply them (pathfinding, centrality, clustering, etc.)
• Experience building or integrating data agents (AI agents interacting with data systems)