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

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Job Title: Full-Stack Engineer (Graph Database & Real-Time Data Systems) Location | Remote (US Only) Time Zone | US Time Zones (EST–PST) Role Overview: 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. Key Responsibilities: 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 Required 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 We connect top talent with vetted employers, competitive pay, and real growth opportunities. Compensation Range: $160K - $200K