Outdoor Field Data Technician — Fiber/Utility Data Collector

Osmose Utilities Services, Inc.; Virginia (IL); On-site; USD 34,000 - 39,000; Full time

Benefits offered by this job

Production bonuses

Vacation Days

Paid Holidays

401k with company match

Critical Illness Plan

Accident Insurance Plan

Hospital Indemnity Plan

Job summary

Osmose Utilities Services, Inc. is seeking Field Data Technicians for outdoor data collection in the Ohio area. The role involves hiking between spans, collecting detailed field data, and supporting fiber optic construction projects.

Training is provided, and workers travel overnight 1–2 weeks at a time with weekends at home. We offer a structured outdoor role with a focus on safety, professional conduct, and data quality.

Qualifications

• Outdoor field data collection experience is preferred.
• Ability to read GPS maps and work with basic technical data.
• Strong written and verbal communication; professional in the field.

Responsibilities

• Work outdoors collecting field data to support engineering and design of fiber optic facilities.
• Submit organized data including maps, field notes and images for each project.
• Operate and maintain field equipment (tablet, camera, measuring tools, PPE).
• Represent Osmose and customers in the field with professionalism.
• Communicate daily with project management and work safely with minimal supervision.
• Travel overnight 1–2 weeks typical; some longer assignments may occur.

Skills

Outdoor work experience

GPS/map reading

Communication skills

Independent work

Physical stamina

Education

High school diploma or equivalent

Job description

Osmose Utilities Services, Inc. is seeking Field Data Technicians for outdoor data collection in the Ohio area. The role involves hiking between spans, collecting detailed field data, and supporting fiber optic construction projects.

Training is provided, and workers travel overnight 1–2 weeks at a time with weekends at home. We offer a structured outdoor role with a focus on safety, professional conduct, and data quality.