Skip to content
Singulariki

Water/Wastewater Engineers vs Civil Engineers

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Water/Wastewater Engineers and Civil Engineers on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Water/Wastewater Engineers Civil Engineers
Median pay · BLS OEWS
$99,590
$99,590
Employment · BLS OEWS
355,410
355,410
AI exposure (percentile) · task overlap, not automation
69th pct
69th pct

At a glance

Dimension Water/Wastewater Engineers Civil Engineers
Median pay $99,590 $99,590
Employment 355,410 355,410
Employment outlook (2024–34) · BLS projection About average (+5.0%) About average (+5.0%)
Annual openings · BLS projection 23,600 23,600
Typical education · O*NET Most of these occupations require a four-year bachelor's degree, but some do not. Most of these occupations require a four-year bachelor's degree, but some do not.
AI exposure · published exposure studies High · 69th pct High · 69th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 57th pct · 30% of tasks 57th pct · 30% of tasks
Observed AI use · Anthropic Economic Index — Augmentation-leaning (35.8%)
Mostly remote-capable · Dingel–Neiman Yes Yes

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Engineering and Technology, Design, English Language, Mathematics, Reading Comprehension, Writing, Critical Thinking, Judgment and Decision Making, Oral Comprehension, Written Comprehension, Oral Expression, Written Expression, Deductive Reasoning, Inductive Reasoning, Information Ordering, Active Listening, Mathematics, Complex Problem Solving, Systems Analysis, Fluency of Ideas, Problem Sensitivity, Mathematical Reasoning, Building and Construction, Speaking, Time Management, Category Flexibility, Number Facility, Visualization, Near Vision, Administration and Management, Physics, Science, Customer and Personal Service, Speech Clarity.

Specific to Water/Wastewater Engineers

  • Systems Evaluation
  • Monitoring
  • Originality
  • Mechanical
  • Chemistry
  • Law and Government

Specific to Civil Engineers

  • Operations Analysis
  • Flexibility of Closure
  • Perceptual Speed
  • Far Vision
  • Speech Recognition
  • Active Learning

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Computer aided design CAD software , Geographic information system , Spreadsheet software , Office suite software , Presentation software , Operating system software , Data base user interface and query software , Electronic mail software , Project management software , Word processing software , Enterprise resource planning ERP software , Analytical or scientific software , Map creation software .

Specific to Water/Wastewater Engineers

Specific to Civil Engineers

Full profiles

This page is a summary. See the complete source-backed profile for Water/Wastewater Engineers or Civil Engineers — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Water/Wastewater Engineers vs Civil Engineers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/water-wastewater-engineers-vs-civil-engineers

APA

Singulariki. (2026). Water/Wastewater Engineers vs Civil Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/water-wastewater-engineers-vs-civil-engineers

BibTeX 
@misc{singulariki-water-wastewater-engineers-vs-civil-engineers,
  title  = {Water/Wastewater Engineers vs Civil Engineers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/water-wastewater-engineers-vs-civil-engineers}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.