Water/Wastewater Engineers vs Petroleum Engineers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Water/Wastewater Engineers and Petroleum 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.”
At a glance
| Dimension | Water/Wastewater Engineers | Petroleum Engineers |
|---|---|---|
| Median pay | $99,590 | $141,280 |
| Employment | 355,410 | 18,970 |
| Employment outlook (2024–34) · BLS projection | About average (+5.0%) | About average (+1.3%) |
| Annual openings · BLS projection | 23,600 | 1,200 |
| 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 · 68th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 57th pct · 30% of tasks | 55th pct · 29% of tasks |
| Observed AI use · Anthropic Economic Index | — | — |
| 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, 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, Systems Evaluation, Fluency of Ideas, Problem Sensitivity, Mathematical Reasoning, Speaking, Time Management, Category Flexibility, Visualization, Near Vision, Monitoring, Originality, Administration and Management, Physics, Science, Chemistry, Speech Clarity.
Specific to Water/Wastewater Engineers
- Design
- English Language
- Building and Construction
- Number Facility
- Mechanical
- Customer and Personal Service
- Law and Government
Specific to Petroleum Engineers
- Active Learning
- Social Perceptiveness
- Coordination
- Computers and Electronics
- Speech Recognition
- Economics and Accounting
- Administrative
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 , 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 , Object or component oriented development software , Enterprise resource planning ERP software , Analytical or scientific software .
Specific to Water/Wastewater Engineers
Specific to Petroleum Engineers
Full profiles
This page is a summary. See the complete source-backed profile for Water/Wastewater Engineers or Petroleum 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.
- Water/Wastewater Engineers vs Water Resource Specialists
- Water/Wastewater Engineers vs Environmental Engineers
- Water/Wastewater Engineers vs Civil Engineers
- Water/Wastewater Engineers vs Brownfield Redevelopment Specialists and Site Managers
- Water/Wastewater Engineers vs Energy Engineers, Except Wind and Solar
- Water/Wastewater Engineers vs Environmental Science and Protection Technicians, Including Health
- Water/Wastewater Engineers vs Chemical Engineers
- Water/Wastewater Engineers vs Wind Energy Engineers
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Water/Wastewater Engineers vs Petroleum 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-petroleum-engineers
Singulariki. (2026). Water/Wastewater Engineers vs Petroleum Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/water-wastewater-engineers-vs-petroleum-engineers
@misc{singulariki-water-wastewater-engineers-vs-petroleum-engineers,
title = {Water/Wastewater Engineers vs Petroleum 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-petroleum-engineers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.