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Planet

Data Visualization Engineer

San Francisco, CAFrom $112.7kfull-timemidAdded today

About this role

Planet seeks a Data Visualization Engineer to create compelling visual narratives around satellite imagery and geospatial data for marketing audiences. You'll combine technical expertise in remote sensing, cartography, and design tools to make Planet's Earth observation platform accessible and impactful to customers and prospects.

What you'll do

  • Develop visual stories showcasing Planet's imagery products and novel applications by combining datasets creatively
  • Collaborate with marketing teams to create graphics and content that educate customers on data-driven solutions
  • Review and provide technical feedback on marketing deliverables including animations, videos, datasheets, and presentations for accuracy
  • Prepare and distribute imagery to press, think tanks, and analysts under tight deadlines
  • Establish and promote data visualization and cartographic best practices across the organization

What they're looking for

  • Geospatial and remote sensing data analysis
  • QGIS, ArcGIS, GDAL, and geospatial software
  • Python programming for geospatial analysis and API integration
  • Adobe Creative Suite (Photoshop, Illustrator)
  • Cartographic and data visualization best practices
  • Vector and raster data manipulation
  • API interaction and cloud-based platform familiarity
  • Technical communication to non-technical audiences

Benefits

  • Comprehensive Medical, Dental, and Vision coverage
  • Health Savings Account with company contribution
  • Generous Paid Time Off plus holidays
  • Hybrid work arrangement with 3 days per week in San Francisco office
  • Global remote work environment
  • Access to cutting-edge satellite imagery and Earth observation data
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Planet

Planet builds and operates Earth-imaging satellites and the cloud-native platforms that process satellite imagery data. The company is hiring software engineers for platform operations and backend compute systems, as well as hardware engineers (opto-mechanical and electrical) to design satellite payloads and subsystems.

View all jobs at Planet

Likely interview questions

  • Tell us about a project where you visualized complex geospatial data for a non-technical audience—what approach did you take?
  • How would you approach learning a new remote sensing dataset or API to create compelling marketing content?
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