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Neo4j

Databases

Neo4j is a graph database management system that stores data as nodes and relationships rather than rows and tables, making it well-suited for querying highly connected data. It's used by developers and data engineers for applications like fraud detection, recommendation engines, knowledge graphs, and network/IT infrastructure analysis. Its query language, Cypher, is designed specifically for expressing graph patterns and traversals.

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Neo4j in the job market

Last checked September 13, 2026

Open roles
11

on Career App right now

Employers
8

hiring for it

Median pay

not enough disclosed

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of these roles

Open roles requiring Neo4j (11)

PhD Student : Agentic AI : Knowledge Graphs, LLMs & Autonomous Query Reasoning F/M

SAP

Contract · Mougins Cedex, FR, 06254

This is a three-year PhD research position developing an enterprise AI system that combines knowledge graphs, large language models, and autonomous reasoning to power SAP's support and service capabilities. It suits researchers with strong NLP and machine learning backgrounds who want to bridge formal knowledge representation with generative AI in an industry setting.

Listed on SAP’s careers site · Apply there ↗

Graph Engineer (AI&Data)

Accenture

Full-time

This role involves designing and implementing knowledge graph solutions that connect enterprise data and support AI initiatives. It's suited for engineers with graph database expertise who want to work on semantic technologies and GenAI applications across Accenture's international client base.

Listed on Accenture’s careers site · Apply there ↗

Broadcom Inc.

R&D Principal Software Engineer

Broadcom Inc.

Full-time · USA-CA - Promontory E

A Principal Software Engineer role on the analytics team, designing and optimizing large-scale, distributed systems that process security telemetry and performance monitoring data for enterprise clients. Suited for someone with deep backend expertise who enjoys architecting cloud-native solutions and leading technical teams across microservices and polyglot data systems.

Listed on Broadcom Inc.’s careers site · Apply there ↗

Sr. Manager, Engineering - Semantic Data Modeling Framework (Hybrid)

CrowdStrike

Full-time · $160,000 – $250,000

CrowdStrike is seeking an engineering manager to lead development of an ontology-based semantic data modeling framework that standardizes how data flows across their cybersecurity platform. This role combines deep technical leadership with cross-organizational influence to drive adoption of a complex infrastructure system serving data teams, product engineers, and AI/ML specialists.

Listed on CrowdStrike’s careers site · Apply there ↗

Intuit

Staff Data Engineer - Credit Karma

Intuit

Full-time · Charlotte, NC · $188,500 – $274,000

This role builds the data infrastructure and frameworks that power Credit Karma's data platform, handling hundreds of terabytes daily across streaming pipelines, persistence layers, and real-time data serving. It suits engineers with deep experience in distributed systems, Kafka or Pub/Sub messaging, and cloud data platforms who want to shape developer experience across a large organization.

Listed on Intuit’s careers site · Apply there ↗

Senior Software Engineer, Ontology & Reasoning Systems (819)

Protegrity

Connecticut, New York · $237,600 – $266,700 · Remote

Design and build the ontology and reasoning layer for Protegrity's data security platform, formalizing complex domains into entities and rules that support deterministic machine reasoning with full traceability. This role suits engineers with strong foundations in logic, graph systems, and formal modeling who want to bridge LLM-powered data extraction with auditable, explainable reasoning.

Listed on Protegrity’s careers site · Apply there ↗

Apply for AI Engineer - Public Sector at Unstructured on their site

AI Engineer - Public Sector

Unstructured

Full-time · Remote

This role involves designing and shipping production-grade AI systems for government clients, splitting time between building RAG pipelines and agentic workflows in Python, researching new models and approaches, and collaborating on technical strategy. It suits engineers who thrive moving AI from research into scalable cloud deployments and can work autonomously in restricted environments.

Listed on Unstructured’s careers site · Apply there ↗

Staff Machine Learning Systems Engineer

Reddit

Full-time · Remote - United States · $230,000 – $322,000

Reddit seeks a Staff ML Systems Engineer to design and build the infrastructure that powers their recommendation and content discovery systems at massive scale. You'll architect MLOps platforms, optimize distributed training pipelines, and work with graph structures containing billions of nodes while collaborating with ML teams across the company.

Listed on Reddit’s careers site · Apply there ↗

AI Engineering / Agentic AI Engineering Manager

Accenture

This role involves leading the design and delivery of advanced AI solutions—from machine learning and generative AI to multi-agent systems—for enterprise clients, combining technical architecture decisions with team leadership and client engagement. The ideal candidate brings hands-on experience building production AI systems at scale, the ability to translate business problems into robust implementations, and a track record of managing technical teams through complex, end-to-end projects.

Listed on Accenture’s careers site · Apply there ↗

Intuit

Manager 2, Software Engineering

Intuit

San Diego, CA

This role leads a team of engineers building data infrastructure and AI-ready systems for Intuit's consumer finance products. It suits an engineering manager with deep data platform experience who can drive technical vision while scaling a high-performing team through a fast-paced, consumer-scale environment.

Listed on Intuit’s careers site · Apply there ↗

View all 11 on Jobs

Asked for alongside Neo4j

Measured from the 11 open roles that name Neo4j — not from a curated list.

Employers hiring for Neo4j

8 in total, most open roles first.

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.

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