Full-Stack Engineer (Graph Database & Real-Time Data Systems)
New
H
Hire HangarSocial Listening
Remote (US Only), US Time Zones (EST–PST)Contract
Salary160,000 - 200,000 USD per year
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Job Details
- Required Skills
- PythonKafkaTypeScriptGoNext.jsReact
Requirements
- 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
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
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