Software Engineer - Connectors

About Neo4j

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.

Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it’s accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.

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.

The Team

In the Connectors team, we have six engineers. Our work enables Neo4j to connect with the data ecosystem, facilitating the movement of data from other systems into a graph for analysis and returning the results to various business systems.

We build on a vast variety of technological stacks, from building products on top of Apache Kafka, Apache Spark, and Apache Beam to integrating Neo4j into Google Dataflow Templates and Microsoft Fabric. We also build backend components for our Data Importer product, including deployment of those into our Kubernetes-based infrastructure. At times, we also need to build frontends for our customers to interact with what we build.

The Role

We are constantly building new or improving existing connectors for Neo4j, making our database accessible from a wider range of environments, including widely used big data and data warehouse products in the cloud and on-premise, while also helping improve the core database’s data ingestion capabilities with new features.

As a software engineer in the Connectors team, you’ll:

• Be part of designing and architecting connectors for the Neo4j database
• Build and maintain new and existing connectors for various technologies
• Design new streaming/data ingestion APIs to make Neo4j faster and easier to use for our customers
• When necessary, work across teams to enhance our core database features
• Occasionally, build front-ends for connectors or integrations that require user interaction
  
  

What You'll Bring To This Role

• You have 3+ years of experience developing production-level software
• You have experience designing multi-threaded systems and algorithms
• You have hands-on experience with backend programming languages, such as Kotlin, Java, or Go
• You ideally have professional experience developing software systems, either in cloud or on-premises, involving either of the following;
• Distributed event streaming platforms, such as Apache Kafka or similar products,
• Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives,
• Data warehouses in the cloud, such as AWS Redshift, GCP BigQuery, and Azure Synapse etc.
  

Nice-to-have

• Experience with graph databases such as Neo4j or other SQL/NoSQL databases
• Experience in frontend development, ideally with React and TypeScript
  
  

We encourage you to apply even if you don’t have experience across all of these areas, since the team will have a mix of different skills.