Software Engineer

Join Hire Hangar and work with fast\-growing global companies while building a long\-term, remote career. **Job Title: Software Engineer, Graph Systems \& Data Visualization** Location \| Remote (US Only) Time Zone \| US Time Zones (EST–PST) **Role Overview:** We are seeking a Software 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