Full-Stack Engineer (Graph Database & Real-Time Data Systems)

The Hire

North Laurel, MD, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$160,000.0 - $200,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Airflow Amazon Web Services Complex Networks Databases Web Scraping Data Infrastructure Extract Transform Load (ETL) Data Visualization Query Languages Elasticsearch Graph Database Python (Programming Language)

+20 more

Neo4j Node.Js Performance Tuning Redis Next.js Data Streaming TypeScript Google Cloud Data Ingestion ReactJS Apache Spark Backend Kubernetes Apache Flink Real Time Data Apache Kafka Data Management Front End Software Development Data Pipelines Docker

Job description

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., * 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

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
Must be authorized to work in the United States without sponsorship, * 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