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ConstructionGrowingBright Outlook

Rock Splitter, Quarry

Operational-level

Also known as: Driller, Quarry Chop Saw Operator, Quarry Driller, Quarry Plug and Feather Driller

ConstructionBachelor's Degree

Job Description

Separate blocks of rough dimension stone from quarry mass using jackhammers, wedges, or chop saws.
Quarry OperationsDimension Stone ProductionRock MechanicsMining TechnologyConstructionEngineeringSkilled TradesBuildingSkilled Trade

Skills employers are looking for in 2027

Software and technologies flagged by O*NET as Hot or In-Demand for this role.

Job Outlook 2025-2035

Bright Outlook

O*NET flags this career as a Bright Outlook occupation: grows rapidly over the next decade.

Projected growth

+5.8%

US average: +3.5%

Job openings

400

per year (US)

Jobs today

3,500

in 2025 → 3,700 (2035)

Typical entry education

No formal educational credential

Source: U.S. Bureau of Labor Statistics, Employment Projections; O*NET Bright Outlook.

Work Environment

How this work is typically performed, based on O*NET work context data.

Email & digital communication
Low
Working in a team
High
Contact with others
Moderate
Freedom to make decisions
Moderate
Time pressure
Moderate
Time spent sitting
Low
Working outdoors
High
Indoor, climate-controlled
Low
Dealing with customers
Low
Level of competition
Low

Source: O*NET Work Context (v31.0)

Future Perspective

Growing Job Market

This field is experiencing expansion with increasing job opportunities and career advancement potential. Market demand is rising, with new positions being created.

Career ladder

Often before this role

  • Quarry Laborer
  • Construction Helper
  • Mining Support Worker

Where it can lead

  • Quarry Supervisor
  • Heavy Equipment Operator (Quarry)
  • Blaster/Powderman

Impact of AI on this Job

AI will likely bring advancements in predictive maintenance for quarry equipment and optimize extraction patterns, potentially increasing efficiency and safety. While fully autonomous rock splitting remains challenging due to the variability of natural stone, AI-powered sensors could guide precision cutting. Human expertise in material assessment and complex decision-making will remain crucial for dimension stone extraction.