Air quality monitoring systems measure pollutants (PM2.5, PM10, NO2, O3, CO) via sensors, transmit data wirelessly, and visualize/alert on exceedances. Requires hardware integration (Arduino, Pi, IoT devices), environmental science basics, and data pipelines. Used in: smart city platforms, industrial compliance, health apps, research networks. Career path: IoT engineer → environmental data specialist → sustainability architect. Growing field: 2026 demand driven by ESG reporting, regulatory compliance (EPA, EU directives), and health-conscious cities.
Air quality monitoring is the measurement and tracking of airborne pollutants: particulate matter (PM2.5, PM10), gases (NO2, O3, CO), and other indicators. Systems integrate sensors, wireless transmission, data storage, and visualization to provide real-time or near-real-time air quality intelligence. Applications: smart cities (public health warnings), industrial sites (EPA/EU compliance), research networks (atmospheric science), and consumer apps (personal exposure alerts). Data is typically stored in time-series databases (InfluxDB) and visualized in dashboards (Grafana, custom web apps).
| Region | Junior | Mid | Senior |
|---|---|---|---|
| USA | $70k | $115k | $170k |
| UK | £45k | £75k | £120k |
| EU | €50k | €85k | €135k |
| CANADA | C$75k | C$125k | C$185k |
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