Data Engineer

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Job Title: Data Engineer

Location | 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 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...