Hydrologic technicians work in the field and the lab to monitor the quantity, quality, and movement of surface water and groundwater. Daily duties include installing and maintaining stream gauges, measuring streamflow and water levels, collecting water samples, servicing data loggers and telemetry equipment, and entering and quality-checking data. Many work for federal agencies such as the U.S. Geological Survey, as well as state and local water authorities, engineering and environmental consulting firms, and utilities.
The work blends outdoor fieldwork with technical data management, often in remote locations and sometimes in difficult weather or flood conditions. The data technicians gather supports flood warnings, drought management, water rights administration, infrastructure design, and regulatory compliance. With experience, technicians can advance to senior technician, field supervisor, or hydrologist roles, especially with further education.
| Entry level | $38,000 |
| Median | $52,000 |
| Senior | $72,000 |
| Top 10% | $85,000 |
| Job growth | +3% |
| Professionals in the USA | 0.02 million |
| Typical hours/week | 40 hrs |
| Remote work share | 3% |
| Annual job openings | 2,000/yr |
| Demand | 3.3 / 10 (Low) |
AI and sensor technology are changing how hydrologic data is collected, processed, and analyzed, with remote telemetry, machine learning flow forecasting, and automated quality control becoming standard. However, the hands-on fieldwork that defines this career remains difficult to automate. Technicians increasingly act as data stewards and equipment specialists rather than just manual data collectors.
Automation exposure: Routine data entry, data validation and quality screening, basic hydrograph generation, and report formatting are being automated. Fixed-site monitoring is increasingly handled by telemetry and IoT sensors, and drones and satellite imagery can replace some manual surveying and streamflow estimation tasks.
The human edge: Technicians physically install, calibrate, and repair instruments in rugged, unpredictable environments such as floods, remote streams, and frozen lakes. They apply judgment when sensors produce questionable readings, adapt to changing field conditions, and ensure safety. Local site knowledge and hands-on troubleshooting cannot be replicated by AI.
Figures are estimates for exploration — verify current data with BLS.gov.