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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 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.

Compensation Range: $160K - $200K

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Data Engineer