{"schemaVersion":"jobsearcher.job.v1","id":"11bbe5d5e5bf4c892b0a22ff","url":"https://jobsearcher.com/jobs/11bbe5d5e5bf4c892b0a22ff","canonicalUrl":"https://jobsearcher.com/jobs/11bbe5d5e5bf4c892b0a22ff","title":"Data Engineer","description":"Job Title| Data EngineerLocation | 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 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, Kubernetes","company":"Hire Hangar","rawCompany":"hire hangar","city":"Laurel","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-07-11T11:50:54.856Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Data Engineer","description":"Job Title| Data EngineerLocation | 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 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, Kubernetes","datePosted":"2026-07-11T11:50:54.856Z","dateModified":"2026-07-11T11:50:54.856Z","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":"11bbe5d5e5bf4c892b0a22ff"},"url":"https://jobsearcher.com/jobs/11bbe5d5e5bf4c892b0a22ff"}}