Software Engineer, Graph Systems & Data Visualization
- Role
- Fullstack
- Employment
- Contract
Open to US only · UTC-10…UTC-4. Set where you work from to check your eligibility.
No BS summary
Join Hire Hangar and work with fast-growing global companies while building a long-term career.
Core skills
Required skills
Optional skills
Join Hire Hangar and work with fast-growing global companies while building a long-term career.
Job Title| Software Engineer, Graph Systems & Data Visualization 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 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
We connect top talent with vetted employers, competitive pay, and real growth opportunities.
What you'll do
- 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
What they require
- 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: Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations
- Preferred: Experience with social listening, social media data, or large-scale web data platforms
- Preferred: Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow
- Preferred: Prior experience at a seed-to-Series B startup
- Preferred: Experience with AWS, GCP, Docker, or Kubernetes
Hire Hangar connects top talent with vetted employers, competitive pay, and growth opportunities.