Weather Data Visualization Architect

Socket.dev

Atlanta (GA)

On-site

USD 120,000 - 160,000

Full time

10 days ago
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Job summary

The Weather Channel is seeking a Weather Product Engineer to architect high-performance data pipelines and immersive weather visualizations for a global audience. You will transform diverse meteorological datasets into actionable, storytelling graphics across media platforms.

Ideal candidates bring a meteorology/science or CS background, 5+ years in consumer products, and hands-on skills in Python, JavaScript, HTML, XML, and VBA, plus AI model experience.

Qualifications

  • Bachelor’s degree or equivalent in a relevant field.
  • Strong foundations in modern product development processes.
  • Proficiency in Python, JavaScript, HTML, XML, VBA.
  • Experience using AI models to accelerate product innovation.
  • 5+ years in developing consumer-facing products.

Responsibilities

  • Architect high-performance data pipelines integrating diverse weather datasets.
  • Drive weather automation to build smarter product workflows.
  • Harvest and transform weather data for core visualization systems.
  • Own product lifecycle from inception to on-air release.
  • Produce documentation for data management and releases.
  • Utilize GIS to weave georeferenced data into stories.
  • Develop first-to-market graphical toolsets for storytelling.
  • Collaborate to troubleshoot weather graphic production systems.

Skills

Python
JavaScript
HTML
XML
VBA
AI model experience
5+ years experience
Cyber security
Weather visualization
GIS data handling
Team collaboration

Education

Bachelor's degree in Meteorology, Atmospheric Science, Computer Science

Tools

Photoshop
AfterEffects
Unreal Engine
3D modeling

Job description

The Weather Channel is seeking a Weather Product Engineer to architect high-performance data pipelines and immersive weather visualizations for a global audience. You will transform diverse meteorological datasets into actionable, storytelling graphics across media platforms.

Ideal candidates bring a meteorology/science or CS background, 5+ years in consumer products, and hands-on skills in Python, JavaScript, HTML, XML, and VBA, plus AI model experience.

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