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Full Stack Engineer

Job summary

Elkridge
Software Developer

Work model

Fully remote
Only US
2 days ago
Job description

**Job Title|**Full-Stack Engineer (Graph Database & Real-Time Data Systems)

**Location |**Remote (US Only)

**Time Zone |**US Time Zones (EST--PST)

Role Overview:

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.

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:

  • 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