Consulting Engineer

Neo4j; San Mateo (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Neo4j is seeking a Consulting Engineer to work with enterprise customers, designing graph-powered solutions and guiding deployments from inception to roll-out. You will partner with customer engineering teams and Neo4j experts, shaping data models and best practices for graph data, analytics, and AI-powered architectures.

You will help customers adopt modern data architectures, deliver production-ready implementations, and collaborate with cross-functional teams to ensure successful outcomes.

Qualifications

• 3+ years of experience designing and developing enterprise-class applications
• Experience with data modelling and designing data structures for complex applications
• Experience deploying applications on Linux, Docker, or Kubernetes
• Strong written and verbal communication skills for customer engagements
• Willingness to travel to client sites as needed.

Responsibilities

• Lead and contribute to Neo4j implementations across the full project lifecycle from design to production roll-out
• Provide hands-on guidance and technical leadership for Neo4j engagements
• Design graph data models that represent complex relationships and support high-performance analytics
• Architect and build solutions that meet functional and non-functional requirements using Neo4j
• Collaborate with customer AI and data teams to integrate Neo4j into LangChain or similar frameworks
• Mentor customer teams on Neo4j best practices and graph development techniques
• Contribute to proposals, SOWs, and technical recommendations for customer programs
• Travel may be required based on engagement needs

Skills

Java

JavaScript

Python

Go

C#

Data modeling

Graph databases

Linux

APIs

Education

Bachelor's degree in Computer Science / IT / related field

Master's degree is a plus

Tools

Docker

Kubernetes

Git

Job description

About Neo4j

Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.

Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.

Our Vision

At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.

Job Title: Consulting Engineer

Role Overview

As a Consulting Engineer at Neo4j, you will work closely with enterprise customers to implement graph-powered solutions, contributing to all phases of the Neo4j implementation within their projects, from inception to roll-out. Partnering with customer engineering teams and Neo4j Principal/Senior Consulting Engineers, you will design graph data models, and help deliver successful Neo4j implementations from initial design through to production deployment. You will act as a trusted technical advisor during consulting engagements, working hands-on with Neo4j technology while helping customers adopt best practices for graph data modeling, application development, and modern AI-powered data architectures. You will also help customers solve complex data and analytics challenges by applying graph technology to deliver practical, production-ready solutions.

Key Responsibilities

• Work closely with customer engineering teams to lead and contribute to Neo4j implementations across the full project lifecycle, from initial design through to production roll-out
• Act as the technical subject matter expert on consulting engagements, providing hands-on guidance and technical leadership for succeeding with Neo4j technology
• Design and implement graph data models that represent complex relationships and support high-performance querying and analytics
• Architect and build solutions that meet both functional and non-functional requirements using Neo4j
• Support modern data and AI architectures by structuring graph data to enable advanced analytics, search, and emerging AI patterns such as RAG
• Collaborate with customer AI and data teams to integrate Neo4j into modern orchestration frameworks such as LangChain or LlamaIndex
• Provide guidance to customers on best practices for Data Engineering, focusing on optimizing data ingestion patterns into Neo4j.
• Develop solution architectures that address the technical requirements of customer projects
• Translate complex technical concepts into clear guidance for customer engineers and stakeholders
• Contribute to solution proposals, level of effort assessments, SOWs and technical recommendations for customer engineering and leadership teams
• Train and mentor customer teams on Neo4j best practices and graph development techniques
• Work collaboratively with Neo4j sales, sales engineering and support teams to ensure successful customer outcomes
• Travel may be required depending on customer engagement needs

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree is a plus).
• 3+ years of experience designing and developing enterprise-class applications, with a focus on data-driven or analytics-focused systems
• Strong experience in data modelling and designing data structures for complex applications, with familiarity across relational, NoSQL, or graph databases
• Experience designing scalable software architectures and working within modern application development environments
• Practical experience data engineering and structuring and optimizing data for modern search, analytics, or AI-driven applications
• Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, Go, or C#
• Experience deploying applications on modern platforms such as Linux, Docker, or Kubernetes
• Familiarity with source control and development workflows using tools such as Git
• Strong problem-solving skills with the ability to work independently as well as collaboratively within a team
• Excellent written and verbal communication skills, with the ability to clearly explain technical concepts in customer settings
• Confidence presenting technical solutions and building strong customer relationships
• Ability to work independently in a remote, cross-functional organization
• Curiosity and enthusiasm for learning new technologies and development approaches
• Willingness to travel to client sites as needed.

Bonus Points

• 2+ years working in a consultative capacity in a Professional Services organisation
• Industry experience in Financial Services, Life Sciences, Manufacturing, Technology
• Experience working with graph databases such as Neo4j, TigerGraph, JanusGraph, or similar technologies
• Familiarity with Snowflake or Databricks, and NoSQL/Relational providers such as MongoDB, Couchbase, or Teradata.
• Experience in data science related projects and packages e.g. SciLearn, Keras, TensorFlow etc
• Experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform