{"schemaVersion":"jobsearcher.job.v1","id":"5c72ad56cedc56c6b7c82ebe","url":"https://jobsearcher.com/jobs/5c72ad56cedc56c6b7c82ebe","canonicalUrl":"https://jobsearcher.com/jobs/5c72ad56cedc56c6b7c82ebe","title":"Remote 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.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 layersRequired 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 sponsorshipPreferred 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 KubernetesTools & 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, KubernetesWe connect top talent with vetted employers, competitive pay, and real growth opportunities.","company":"Hire Hangar","rawCompany":"hire hangar","city":"Baton Rouge","state":"LA","isRemote":true,"isActive":false,"createdAt":"2026-07-07T00:00:50.633Z","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":"Remote 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.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 layersRequired 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 sponsorshipPreferred 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 KubernetesTools & 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, KubernetesWe connect top talent with vetted employers, competitive pay, and real growth opportunities.","datePosted":"2026-07-07T00:00:50.633Z","dateModified":"2026-07-07T00:00:50.633Z","hiringOrganization":{"@type":"Organization","name":"Hire Hangar","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Baton Rouge","addressRegion":"LA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5c72ad56cedc56c6b7c82ebe"},"url":"https://jobsearcher.com/jobs/5c72ad56cedc56c6b7c82ebe"}}