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Key statistics

The identity block — every fact is canon, none is generated.

3 of 8

Track

Individual contributor

Family rungs priced

P1 · P2 · P3 · P4 · P5 · P6

49-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Performs skilled maintenance and repair of engine room and plant equipment to ensure safe, continuous facility operation. At the Mid-Level Professional (P3) level, the role owns features or a sub-system end-to-end, adapts existing approaches, and drives project / team outcomes. Mentors juniors informally.

What this level does

Own maintenance activities for a technical specialty or a full equipment type, planning day-to-day work independently and coordinating repair execution with operations to identify proper work scope
Apply formal reliability methodologies — Root Cause Analysis, Reliability-Centered Maintenance, and TPM — to eliminate recurring failures and maximize plant capacity while minimizing cost
Schedule and coordinate major overhauls and inspections against other operating activities, evaluating identifiable factors to sequence work with least production impact
Coordinate project activities for equipment upgrades and preventive maintenance program improvements, networking with senior reliability and operations professionals
Analyze CMMS failure and downtime data to identify equipment reliability trends and recommend PM interval and spare-parts adjustments

Knowledge applied: Applies formal reliability methodologies (RCA, RCM, TPM) and CMMS data analysis across a technical specialty or full equipment type.
Complexity & problem solving: Evaluates identifiable factors to eliminate recurring failures and sequence overhauls independently.
Collaboration & interaction: Networks with senior reliability and operations professionals; coordinates project activities.
Typical experience: 5+ years, or engineering degree with reliability exposure.

Skills at this level

Reliability/Maintenance Methodologies: — Applies maintenance systems used by high-performing plants — Root Cause Analysis, Reliability-Centered Maintenance, and TPM — to eliminate recurring failures, maximize plant capacity, and minimize cost.
Interpreting Technical Schematics: — Reads and interprets equipment schematics and drawings alongside diagnostic tool output to locate and diagnose mechanical and electrical faults in plant and mining equipment.
Multi-Craft Maintenance: — Performs work spanning two or more crafts — pipe fitting, HVAC maintenance, insulating, welding, machining, carpentry, and electrical/mechanical repair — including installing, aligning, and balancing new equipment.
Mechanical and Pneumatic Systems: — Maintains, troubleshoots, and repairs the mechanical and pneumatic systems that drive plant equipment, restoring them to OEM operating standards.
Preventive and Predictive Maintenance: — Plans and performs routine equipment monitoring, lubrication, and service, and schedules inspections and overhauls per process standards to ensure reliability and uptime.
CMMS Recordkeeping: — Uses a Computerized Maintenance Management System (e.g., Ellipse) to record work orders, log service and lubrication history, withdraw inventory, and analyze failure and downtime data for reliability decisions.
Breakdown Response and Troubleshooting: — Responds to production-loss breakdowns, troubleshooting and repairing failures quickly and accurately while observing safety precautions to keep line downtime minimal and prevent recurrence.
Boiler and HRSG Fleet Reliability: — Coordinates repairs, combustion tuning, and performance across fleet-wide equipment such as coal- and gas-fired boilers, Heat Recovery Steam Generators, and balance-of-plant systems.
Spare Parts and Maintenance Standardization: — Standardizes maintenance procedures and spare-parts strategies across equipment classes to make reliability outcomes repeatable and cost-effective across the site or fleet.
Maintenance Project Leadership: — Leads and coordinates multiple engineering maintenance projects, developing and improving techniques and procedures and serving as prime technical contact for contracts and vendors.
Safety Focus: — Observes and enforces all safety protocols during troubleshooting, repair, and equipment installation, treating safe work practice as a precondition of every maintenance task.

Model-authored from 22 retrieved sources, then adversarially reviewed by an independent judge panel and held to a minimum-evidence floor before publication. Distinct from corpus-extracted content, which is labelled as such.

Pay across the ladder

Plant Maintenance (Energy/Mining) — median with , by . Real canon data.

National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).

Pay figures are modeled estimates from our market equation — level-differentiated, with honest-wide bands. They refresh as new leveling evidence lands; treat per-role dollars as directional.

Demand — is the field growing, or just turning over?

SOC 49-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+8.9%Industrial Machinery Mechanics · United States

387,630 → 421,940 jobs

45,700 openings / year, split into:

growth 7,078

replacement / exits 38,622

Growth — new jobs (15%)Exits — backfill (85%)

15% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +16.1%
Growth share of hiring: 15%
Exit / retention pressure moderate: 85%
Openings / year: 45,700

Two quantities, kept apart: observed = employment growth differenced from two BLS OEWS vintages (what already happened); projected = BLS Employment Projections 2024–34, openings decomposed into growth + exits (growth derived from projected employment change). Neither is a pay figure.

Where this role sits — growth vs. pay

level P3 held

Demand axis is projected growth (not raw openings — that just measures churn). A curated, de-duplicated set of recognizable occupations held at this level; this role is highlighted.

Where it pays — by metro

OEWS metro median

San Jose-Sunnyvale-Santa Clara, CA$142k

San Francisco-Oakland-Fremont, CA$127k

Washington-Arlington-Alexandria, DC-VA-MD-WV$118k

Boulder, CO$116k

Seattle-Tacoma-Bellevue, WA$116k

Boston-Cambridge-Newton, MA-NH$111k

Lexington Park, MD$108k

Trenton-Princeton, NJ$108k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $85k; the demand-cube initiative will add growth-by-metro.

What changes across the ladder

Level-distinction canon isn't available for the adjacent levels of this profile yet.

Level differentiators

What separates P3 (P3 — Mid-Level Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Features or a sub-system end-to-end
Autonomy: Works independently on standard work; reviewed on the non-standard
Complexity: Diverse problems; adapts existing approaches
Impact: Project / team outcomes
Decision rights: Owns implementation decisions for own scope
Leadership: Mentors juniors informally

Full level-by-level matrix (side by side across the ladder) lives on the Ladder drill-down — not here.

Promotion

The next rung from P3 is P4.

Performance criteria for this profile render in the assessment kit →

People also watch

Nearest coordinate neighbors — same , same level. Each row's (confident / review / no match) comes from its — computed, not curated.

Profile	Key	Median	Δ structural
Chief Plant Maintenance Officer	jf_plant_maintenance_energy_mining::E3	$352,063†	confident0.06
Plant Maintenance Manager	jf_plant_maintenance_energy_mining::M3	$120,351†	confident0.06
Senior Plant Maintenance Technician	jf_plant_maintenance_energy_mining::S3	$49,566†	confident0.06
Plant Maintenance Engineer	jf_plant_maintenance_energy_mining::P2	$72,357†	confident0.06

†National-base pricing — this family's function differential is pending review, so the dollar level is not function-adjusted.

Capability cluster

O*NET 49-9041

Core to this role. Click any element with an ⓘ for its O*NET definition. A job-specific capability model (SkillFrame) will sharpen this and add worked examples.

The Job Swatch

P3

jf_plant_maintenance_energy_mining::P3

Plant Maintenance Engineer

Plant Maintenance (Energy/Mining)

The swatch is JobFrame's core primitive: a hueset deterministically by the role's superfunction, the profileKey as its color code, the level ladder, and a content fingerprint. Two swatches that look alike are alike.

Because every role carries computable coordinates, similarity, leveling, and pricing become measurable instead of arguable— the whole point of "Pantone for jobs."

Structural

structural@1

Where it sits— position in the work taxonomy + level (weighted Gower, level > function > focus).

Track: P
Superfunction: industrial_energy_operations
Function: plant_operations
Family: plant_maintenance_energy_mining
Universal level: 3 / 8

Content

content@2

What it's about— a fingerprint over the role's tasks & capabilities.

Two roles can sit far apart structurally yet be close in content — that gap is itself a signal.

3-state matching

How any two swatches compare — a real distance in coordinate space, resolved to a calibrated verdict (never a fake "94% match").

Mining Processing Plant · P3review0.17

Nuclear Power Plant · P3review0.17

Plant Operations (Energy/Mining) · P3review0.17

Power Plant Management · P3review0.17

Refinery · P3review0.17

Renewables Plant · P3review0.17

Editions — frozen & versioned

structural@1live

Released 2026-06-17

content@2live

Released 2026-07-28

pay@2live

Released 2026-07-02

semantic@1live

Released 2026-07-02

Coordinates belong to a frozen, versioned edition — a coordinate computed today still means the same thing next quarter. Re-fitting issues a new edition, so comparisons are never silently redefined.

How to read this profile

Every number here is traceable — to a named source, a stated method, and an as-of date — and each value is labeled by how we know it: observed from data, computed by a model, projected forward, or governed canon. Nothing is a black box, and nothing is invented to fill a gap.

Where every number comes from

What	Source & method	Edition	State
Median pay + range	JobFrame pay equation (function base × family multiplier × level × focus differential)	pay@2	computed
Pay across the ladder	Same equation applied at each universal level	pay@2	computed
Demand — growth & openings	BLS Employment Projections; openings decomposed into growth + exits	EP 2024–34	projected
Pay by metro	BLS OEWS metropolitan medians	OEWS 2024	observed
Level distinctions	JobFrame universal-level canon (scope · autonomy · complexity · impact · decision rights · leadership)	canon	canon
Capability cluster	O*NET Knowledge / Skills / Abilities	O*NET 49-9041	computed
Coordinates	JobFrame coordinate system — structural (weighted Gower) + content fingerprint	structural@1 · content@2 · pay@2 · semantic@1	computed
Related roles	Nearest neighbors in the structural coordinate space	structural@1	computed

The principles behind the numbers

Ranges, not false precision

Pay is P10 · median · P90, never a single misleading number.

Three honest states, never a fake %

Role matches resolve to confident / review / no-match — a calibrated verdict, not a made-up percentage.

Provenance on every value

Each number carries whether it's observed, computed, projected, or canon — so you always know how much to lean on it.

Gaps shown as gaps

When a figure isn't available at the grain you need, we say so — we don't fabricate a number to fill the cell.

Frozen, versioned editions

Pay and coordinate editions are pinned, so a comparison you make today still means the same thing next quarter.

Privacy by min-N

Any aggregate over people is suppressed below a minimum count, so no individual is identifiable.

Freshness

As of2026-07-30Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)