Full-Stack Engineer, Graph Database, Real-Time Data Systems

Hire Hangar Global

Full-Stack Engineer developing a graph-database-backed social listening platform. Collaborating on real-time data ingestion and visualization for high-volume social and web data.

Posted 7/13/2026contractRemote • Maryland • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in designing and maintaining backend services with graph databases and real-time data ingestion pipelines. Demonstrates strong front-end development skills with React and TypeScript, alongside the ability to troubleshoot performance issues across data layers.

Highest-signal resume keywords

Graph Database ExperienceReal-Time Data InfrastructureBackend Development in PythonFront-End Development with ReactData Pipeline and ETL Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Graph DatabasesGraph Query LanguagesReal-Time Data IngestionBackend Programming LanguagesFront-End DevelopmentData PipelinesETL ProcessesWeb ScrapingPerformance OptimizationClean Code Practices

Soft Skills

CollaborationAdaptability

Tools & Technologies

Neo4jKafkaKinesisFlinkSparkReactNext.jsTypeScript

Industry Keywords

High-Throughput DataSocial DataWeb DataCrawlersEarly-Stage Engineering

Tech Stack

Tools & technologies

ETLGoJavaScriptKafkaNeo4jNext.jsNode.jsPythonReactSparkTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Highly competitive, transparent compensation
Commitment to rewarding performance and results
No hidden figures in salary range