Graph Developer

Qode; Pennsylvania; Hybrid; USD 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Lead Graph Developer to architect and implement innovative graph data solutions. This role involves leading the development of large-scale graph models and collaborating with cross-functional teams. The ideal candidate should have extensive experience with graph databases like Neo4j and Amazon Neptune as well as proven leadership abilities.

Qualifications

• Over 10 years of experience in software development or data engineering.
• 3+ years of hands-on experience with graph database technologies.
• Proficient in one or more graph query languages like Cypher or Gremlin.

Responsibilities

• Lead the architecture and implementation of graph-based data solutions.
• Collaborate with teams to define graph use cases and optimize queries.
• Mentor junior developers and document architectural decisions.

Skills

Graph database technologies

Data modeling

Cloud services

Problem-solving

Communication

Leadership

Job description

Job Title: Lead Graph Developer

Location: Pittsburgh, PA/ Cleveland, OH (Hybrid)

Employment Type: Full-Time

Job Summary:

We are seeking an experienced Lead Graph Developer to architect, design, and implement cutting-edge graph-based data solutions. In this role, you will lead the development of large-scale graph data models, integrate graph databases with enterprise systems, and build graph-powered applications to support complex querying, analytics, and recommendation use cases.

You will collaborate with data scientists, software engineers, and business stakeholders to deliver performant and scalable graph solutions using technologies like Neo4j, Amazon Neptune, TigerGraph, or RDF triple stores.

Key Responsibilities:

• Lead the architecture, design, and implementation of graph-based data solutions.
• Model complex relationships using Labeled Property Graphs (LPG) or RDF/OWL depending on use case.
• Develop and optimize queries using Cypher, Gremlin, SPARQL, or similar graph query languages.
• Collaborate with engineering teams to integrate graph databases with APIs, microservices, or existing data platforms.
• Work closely with stakeholders to define graph use cases (e.g., recommendation engines, fraud detection, knowledge graphs).
• Implement data ingestion pipelines to load, transform, and maintain graph datasets.
• Ensure scalability, performance, and security best practices in graph solutions.
• Mentor junior developers and promote best practices in graph modeling and query design.
• Contribute to proof-of-concepts and evaluate new tools and frameworks in the graph space.
• Document architecture, design decisions, and graph schemas for reusability and governance.

Required Skills & Qualifications:

• 10+ years of experience in software development or data engineering roles.
• 3+ years of hands-on experience with graph database technologies (Neo4j, Amazon Neptune, TigerGraph, Stardog, etc.).
• Proficient in one or more graph query languages: Cypher, Gremlin, SPARQL.
• Strong knowledge of data modeling, schema design, and semantic technologies (RDF/OWL a plus).
• Experience with Python, Java, or Scala for integration and data pipeline development.
• Familiarity with data integration tools, ETL pipelines, and APIs for graph ingestion.
• Strong understanding of cloud services (AWS, GCP, or Azure), especially managed graph solutions.
• Experience working in Agile development teams and version-controlled environments (Git, CI/CD).
• Excellent problem-solving, communication, and leadership skills.

Preferred Qualifications:

• Experience with knowledge graphs, entity resolution, or ontology design.
• Familiarity with machine learning or graph-based AI use cases.
• Prior experience with graph visualization tools (Bloom, Gephi, Linkurious).
• Certifications in Neo4j, AWS Neptune, or relevant cloud/graph platforms.

Technologies / Tools:

• Graph Databases: Neo4j, Amazon Neptune, TigerGraph, JanusGraph
• Languages: Cypher, Gremlin, SPARQL, Python, Java, Scala
• Cloud Platforms: AWS (Lambda, S3, Glue), GCP, Azure
• DevOps: Git, Jenkins, Docker, Kubernetes
• Visualization: Neo4j Bloom, Gephi, GraphXR