Sensor Data Engineer — Weather Pipelines, Unlimited PTO

WindBorne Systems

Redwood City (CA)

On-site

USD 100,000 - 200,000

Full time

2 days ago
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Benefits offered by this job

401(k)
Health insurance
Stock options
Unlimited PTO
Office snacks

Job summary

WindBorne Systems is hiring a Sensor Data Engineer to own the software turning raw measurements from a global balloon constellation into weather data. You will manage a pipeline processing temperature, humidity, pressure, position, and wind data across hundreds of balloons with a focus on data quality.

The role requires strong Python and data-analysis skills, knowledge of databases and Linux systems, and the ability to work across hardware and software teams.

Qualifications

  • Must have strong intuition for sensors, physics or statistics.
  • Able to communicate clearly about complex technical systems.
  • Strong Python and data-analysis skills; willing to learn databases, Linux systems and production services.
  • High agency; comfortable owning systems end-to-end with minimal oversight.

Responsibilities

  • Own software that turns raw balloon measurements into weather observations in customer-facing databases.
  • Develop sensor processing and quality-control algorithms for temperature, pressure, humidity, wind, etc.
  • Investigate pipeline failures, data loss and quality issues.
  • Improve architecture and scalability of sensor-processing systems as the constellation grows.

Skills

Sensor intuition
Strong communication
End-to-end ownership
Data analysis

Tools

Python
PostgreSQL
Linux

Job description

WindBorne Systems is hiring a Sensor Data Engineer to own the software turning raw measurements from a global balloon constellation into weather data. You will manage a pipeline processing temperature, humidity, pressure, position, and wind data across hundreds of balloons with a focus on data quality.

The role requires strong Python and data-analysis skills, knowledge of databases and Linux systems, and the ability to work across hardware and software teams.

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