{"schemaVersion":"jobsearcher.job.v1","id":"e1544c6918adc412d66acfe0","url":"https://jobsearcher.com/jobs/e1544c6918adc412d66acfe0","canonicalUrl":"https://jobsearcher.com/jobs/e1544c6918adc412d66acfe0","title":"Full-Stack Engineer (Graph Database & Real-Time Data Systems)","description":"Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.\nJob Title: Full-Stack Engineer (Graph Database & Real-Time Data Systems)\nLocation | Remote (US Only)\nTime Zone | US Time Zones (EST–PST)\nRole Overview:\nWe 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.\nKey Responsibilities:\n\nDesign, build, and maintain backend services that interface with graph databases to model and query complex relationship data\nDevelop and maintain real-time data ingestion pipelines handling high-throughput social and web data\nBuild and optimize web scraping and crawler infrastructure to support continuous data collection\nDevelop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way\nCollaborate cross-functionally to translate product requirements into scalable technical solutions\nWrite clean, maintainable, well-tested code across the stack\nTroubleshoot performance bottlenecks across data ingestion, storage, and visualization layers\nRequired Qualifications:\n\nHands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph,ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin)\nExperience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark)\nStrong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript\nFront-end development experience with React, Next.js, and TypeScript\nExperience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure\nComfortable working in a high-growth, early-stage engineering environment with evolving priorities\nMust be authorized to work in the United States without sponsorship\nPreferred Qualifications:\n\nExperience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations\nExperience with social listening, social media data, or large-scale web data platforms\nFamiliarity with Elasticsearch, OpenSearch, Redis, or Airflow\nPrior experience at a seed-to-Series B startup\nExperience with AWS, GCP, Docker, or Kubernetes\nTools & Technology:\n\nGraph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar)\nStreaming/data pipeline tools (Kafka, Spark, Flink, or similar)\nReact, Next.js, TypeScript\nPython, Go, or Node.js\nCloud infrastructure (AWS/GCP), Docker, Kubernetes\n\nWe connect top talent with vetted employers, competitive pay, and real growth opportunities.\nCompensation Range: $160K - $200K","company":"Hire Hangar","rawCompany":"hire hangar","city":"Laurel","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-07-27T13:54:33.693Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full-Stack Engineer (Graph Database & Real-Time Data Systems)","description":"Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.\nJob Title: Full-Stack Engineer (Graph Database & Real-Time Data Systems)\nLocation | Remote (US Only)\nTime Zone | US Time Zones (EST–PST)\nRole Overview:\nWe 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.\nKey Responsibilities:\n\nDesign, build, and maintain backend services that interface with graph databases to model and query complex relationship data\nDevelop and maintain real-time data ingestion pipelines handling high-throughput social and web data\nBuild and optimize web scraping and crawler infrastructure to support continuous data collection\nDevelop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way\nCollaborate cross-functionally to translate product requirements into scalable technical solutions\nWrite clean, maintainable, well-tested code across the stack\nTroubleshoot performance bottlenecks across data ingestion, storage, and visualization layers\nRequired Qualifications:\n\nHands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph,ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin)\nExperience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark)\nStrong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript\nFront-end development experience with React, Next.js, and TypeScript\nExperience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure\nComfortable working in a high-growth, early-stage engineering environment with evolving priorities\nMust be authorized to work in the United States without sponsorship\nPreferred Qualifications:\n\nExperience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations\nExperience with social listening, social media data, or large-scale web data platforms\nFamiliarity with Elasticsearch, OpenSearch, Redis, or Airflow\nPrior experience at a seed-to-Series B startup\nExperience with AWS, GCP, Docker, or Kubernetes\nTools & Technology:\n\nGraph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar)\nStreaming/data pipeline tools (Kafka, Spark, Flink, or similar)\nReact, Next.js, TypeScript\nPython, Go, or Node.js\nCloud infrastructure (AWS/GCP), Docker, Kubernetes\n\nWe connect top talent with vetted employers, competitive pay, and real growth opportunities.\nCompensation Range: $160K - $200K","datePosted":"2026-07-27T13:54:33.693Z","dateModified":"2026-07-27T13:54:33.693Z","hiringOrganization":{"@type":"Organization","name":"Hire Hangar","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Laurel","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e1544c6918adc412d66acfe0"},"url":"https://jobsearcher.com/jobs/e1544c6918adc412d66acfe0"}}