> Markdown version of [/jobs/ext/1188939-full-stack-engineer-graph-database-real-time-data-systems](https://www.wearedevelopers.com/jobs/ext/1188939-full-stack-engineer-graph-database-real-time-data-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full-Stack Engineer (Graph Database & Real-Time Data Systems) - **Company:** The Hire - **Location:** Annapolis Junction, MD, United States (Remote available) - **Salary:** $16,000.0 - $20,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Cloud Computing, Complex Networks, Databases, Web Scraping, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Query Languages, DevOps, Elasticsearch, Graph Database, Python (Programming Language), Neo4j, Node.Js, Performance Tuning, Redis, Next.js, Data Streaming, TypeScript, Google Cloud, Data Ingestion, ReactJS, Apache Spark, Backend, Kubernetes, Apache Flink, Real Time Data, Apache Kafka, Data Management, Front End Software Development, Data Pipelines, Docker, Data Generation - **Published:** July 5, 2026 - **Apply:** https://www.careerjet.com/job/us5d0c34a19c87564aef684b45d61e664c/eaa ## About the Role 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 ## Description 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., 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, Description Leidos has an exciting opening for you, our next TS/SCI cleared DevOps Software Engineer working with a dynamic team to design, develop and deploy a state-of-the-art … + 13 hours ago + ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Graphs and RAGs Everywhere... 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