Data Engineer

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 Streaming/data pipeline tools (Kafka, Spark, Flink, or similar) React, Next.js, TypeScript Python, Go, or Node.js #J-18808-Ljbffr Hire Hangar