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

The Hire
Jessup, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 20K

Job location

Remote
Jessup, United States of America

Tech stack

Airflow
Amazon Web Services (AWS)
Cloud Computing
Complex Networks
Databases
Web Scraping
Data Infrastructure
ETL
Data Visualization
Query Languages
DevOps
Elasticsearch
Graph Database
Python
Neo4j
Node.js
Performance Tuning
Redis
Next.js
Data Streaming
TypeScript
Google Cloud Platform
Data Ingestion
React
Spark
Backend
Kubernetes
Apache Flink
Real Time Data
Kafka
Data Management
Front End Software Development
Data Pipelines
Docker
Data Generation

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, Description Leidos has an exciting opening for you, our next TS/SCI cleared DevOps Software Engineer working with a dynamic team to design, develop and deploy a state-of-the-art …
  • 13 hours ago

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 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

Benefits & conditions

We connect top talent with vetted employers, competitive pay, and real growth opportunities. Compensation Range: $160K - $200K, + $107,900-195,050 per year

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