Full-Stack Engineer (Graph Database & Real-Time Data Systems)

Role Description

We are seeking a Full-Stack Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment.

• Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data
• Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data
• Build and optimize web scraping and crawler infrastructure to support continuous data collection
• Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way
• Collaborate cross-functionally to translate product requirements into scalable technical solutions
• Write clean, maintainable, well-tested code across the stack
• Troubleshoot performance bottlenecks across data ingestion, storage, and visualization layers

Qualifications

• Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph, ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin)
• Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark)
• Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript
• Front-end development experience with React, Next.js, and TypeScript
• Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure
• Comfortable working in a high-growth, early-stage engineering environment with evolving priorities
• Must be authorized to work in the United States without sponsorship

Preferred Qualifications

• Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations
• Experience with social listening, social media data, or large-scale web data platforms
• Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow
• Prior experience at a seed-to-Series B startup
• Experience with AWS, GCP, Docker, or Kubernetes

Tools & Technology

• Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar)
• Streaming/data pipeline tools (Kafka, Spark, Flink, or similar)
• React, Next.js, TypeScript
• Python, Go, or Node.js
• Cloud infrastructure (AWS/GCP), Docker, Kubernetes