Consulting Engineer

2 days ago

Remote, United StatesMid Level

Responsibilities

Lead and contribute to Neo4j implementations across the full project lifecycle, from initial design through production rollout.
Serve as a technical subject matter expert and trusted advisor during customer consulting engagements.
Design graph data models and scalable solution architectures for complex applications and high-performance querying.
Build solutions using Neo4j and structure graph data for analytics, search, RAG, and modern AI architectures.
Integrate Neo4j with orchestration frameworks such as LangChain and LlamaIndex.
Advise customers on data engineering and optimize data ingestion patterns into Neo4j.
Develop solution architectures, technical recommendations, proposals, level-of-effort assessments, and statements of work.
Explain complex technical concepts, train customer teams, and mentor them on Neo4j and graph development best practices.
Collaborate with customer teams and Neo4j sales, sales engineering, and support teams to deliver successful outcomes.
Travel to client sites as needed.

Bachelor's degree in Computer Science, Information Technology, or a related field; a master's degree is a plus.
At least 3 years of experience designing and developing enterprise-class applications, particularly data-driven or analytics-focused systems.
Strong data modeling experience across relational, NoSQL, or graph databases.
Experience designing scalable software architectures and working in modern application development environments.
Practical data engineering experience structuring and optimizing data for search, analytics, or AI-driven applications.
Hands-on competence in at least one of Java, JavaScript, Python, Go, or C#.
Experience deploying applications on Linux, Docker, or Kubernetes.
Familiarity with Git and source control and development workflows.
At least 2 years of consultative experience in a professional services organization is a bonus.
Experience with Neo4j, TigerGraph, JanusGraph, Snowflake, Databricks, MongoDB, Couchbase, Teradata, SciLearn, Keras, TensorFlow, AWS, Azure, or Google Cloud is advantageous.
Industry experience in financial services, life sciences, manufacturing, or technology is a bonus.
Strong problem-solving, written and verbal communication, presentation, customer relationship, independent-working, and collaboration skills.
Willingness to learn new technologies and approaches and travel to client sites as needed.

Remote, cross-functional work environment.
Travel may be required depending on customer engagement needs.
Opportunity to work with enterprise customers and shape graph, data, and AI solutions.
Inclusive, diverse, and equitable workplace focused on collaboration, innovation, relationships, and customer success.

1,001-5,000 employees