Full-Time

Software Engineers

Connectors

Posted on 3/4/2024

Neo4j

Neo4j

501-1,000 employees

Graph data science software and services

Data & Analytics
Consulting
AI & Machine Learning

Mid

London, UK

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Data Structures & Algorithms
Java
Data Analysis
Requirements
  • 3+ years of experience developing production level software
  • Experience designing multi-threaded systems and algorithms
  • Proficiency in at least one C-style programming language
  • Willingness to learn Java
  • Professional experience with distributed event streaming platforms or data processing and analytics platforms
  • Experience with data warehouses in the cloud
Responsibilities
  • Designing and architecting future connectors for the Neo4j database
  • Building and maintaining new connectors for various technologies
  • Designing new streaming/data ingestion APIs
  • Working across teams to enhance core database features

Neo4j specializes in graph data science, providing tools that enable data scientists to analyze relationships within connected data. Its main product is software designed to help users explore and analyze complex data relationships, which is particularly beneficial in sectors like finance, healthcare, and social media. This software enhances the accuracy of machine learning models and supports contextual AI, allowing for improved predictions based on existing data. Neo4j differentiates itself from competitors by focusing specifically on graph data science and offering consulting and training services alongside its software, ensuring clients can effectively utilize its tools. The company's goal is to empower organizations to gain valuable insights from their data by understanding the connections between data points.

Company Stage

Late Stage VC

Total Funding

$614.2M

Headquarters

San Mateo, California

Founded

2007

Growth & Insights
Headcount

6 month growth

1%

1 year growth

10%

2 year growth

12%
Simplify Jobs

Simplify's Take

What believers are saying

  • Neo4j's collaboration with Microsoft advances GenAI and data solutions.
  • Growing demand for graph databases in fraud detection boosts Neo4j's market potential.
  • Neo4j's new Aura console with GenAI co-pilot enhances data management capabilities.

What critics are saying

  • Increased competition from TigerGraph and Amazon Neptune in the graph database market.
  • Challenges in scaling operations as Neo4j prepares for a US IPO.
  • Dependence on partnerships like Microsoft, which may not yield expected results.

What makes Neo4j unique

  • Neo4j specializes in graph data science, enhancing AI and ML model accuracy.
  • The platform offers both fully managed cloud service and self-hosted options.
  • Neo4j's software excels in analyzing complex data relationships across various industries.

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