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Key statistics

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

1 of 8

Track

Individual contributor

Family rungs priced

P1 · P2 · P3 · P4 · P5 · P6

51-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Entry-level professional who supports the monitoring and optimization of refinery processing units under guidance from experienced engineers. At the Entry-Level Professional (P1) level, the role owns own tasks within a defined component, routine problems with known solutions, and drives own deliverables. None — building the craft.

What this level does

Perform field work under supervision — take samples and readings of process streams, gather oil samples for the onsite lab, and operate unit consoles for assigned equipment
Monitor assigned areas for abnormal conditions (leaks, unusual noise, off-target readings) and report to senior operators following procedures
Follow LOTO procedures and standard operating procedures when isolating equipment or supporting field tasks
Watch DCS/PLC HMI gauges and displays to keep pressure, temperature, level, and flow within alarm limits, escalating deviations rather than intervening independently

Knowledge applied: Applies basic knowledge of refinery equipment, sampling, and LOTO to routine field and console tasks; relies on detailed instruction and standard procedures.
Complexity & problem solving: Handles routine problems with standard answers — recognizes an out-of-range reading and reports it rather than diagnosing cause.
Collaboration & interaction: Works within a stable shift crew, taking direction from senior operators; interactions are internal and task-focused.
Typical experience: 0–1 years; entry/developmental, often via a process-technology program or trade credential.

Skills at this level

Operations Monitoring: — Watches gauges, dials, and DCS display screens to confirm process equipment is running and to detect off-target pressure, temperature, level, and flow before they breach alarm limits.
DCS/PLC Control-System Operation: — Safely and efficiently operates refinery process units through a DCS/PLC control-room interface — making setpoint changes, managing control modes, and acknowledging alarms.
Advanced Process Control Management: — Configures and operates cascade, ratio, and split-range control loops and tunes them within the unit's operating envelope to hold product on spec.
Unit Transition Execution: — Carries out start-up, shutdown, and unit transitions — cool-down, heat-up, line-up, decoking/regeneration, and feed switchovers — following approved sequences.
Process Unit Knowledge: — Applies working knowledge of refinery unit operations including distillation, cracking, reforming, blending, and treating to run and adjust the process.
Product Quality Validation: — Confirms product quality using on-line analyzers and lab results and adjusts cut points, reflux, reboiler duty, and hydrogen rates to bring streams into specification.
Emergency Response & Shutdown Handling: — Coordinates trip logic, ESD actions, depressurization, and flare routing during upsets and issues safe recovery steps for the unit.
Lockout/Tagout (LOTO) & Field Safety: — Follows LOTO isolation and field safety procedures when sampling, isolating equipment, or supporting maintenance to prevent uncontrolled energy release.
Process Troubleshooting: — Diagnoses process upsets and yield gaps by evaluating feed quality, heat balance, catalyst condition, and equipment behavior, then selects corrective actions.
Crude-Slate Optimization: — Uses refinery optimization tools to adjust crude slates and unit operation in response to system, supply, or market fluctuations to maximize refinery contribution.
Mechanical Aptitude: — Applies knowledge of pumps, valves, exchangers, and related machines and tools — their uses, and basic maintenance needs — to operate and safely isolate field equipment.
Continuous Improvement: — Applies structured continuous-improvement approaches to refine operating workflows and procedures for better output, quality, and reliability.
Shift Supervision & Coordination: — Directs and coordinates the activities of production and operating workers across a shift, resolving operating conflicts and leading recovery efforts.

Model-authored from 15 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

Refinery — 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 51-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

-13.6%Petroleum Pump System Operators, Refinery Operators, and Gaugers · United States

40,370 → 34,860 jobs

3,200 openings / year, split into:

replacement / exits 3,298

Growth — new jobs (-3%)Exits — backfill (100%)

This occupation is projected to contract — every opening is replacing someone leaving, not net new demand.

Projected growth 2024–34 contracting: -2.8%
Growth share of hiring: -3%
Exit / retention pressure high: 100%
Openings / year: 3,200

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 P1 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$106k

San Francisco-Oakland-Fremont, CA$95k

Washington-Arlington-Alexandria, DC-VA-MD-WV$88k

Boulder, CO$87k

Seattle-Tacoma-Bellevue, WA$87k

Boston-Cambridge-Newton, MA-NH$83k

Lexington Park, MD$81k

Trenton-Princeton, NJ$81k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $64k; 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 P1 (P1 — Entry-Level Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Own tasks within a defined component
Autonomy: Close supervision; work reviewed frequently
Complexity: Routine problems with known solutions
Impact: Own deliverables
Decision rights: Few independent decisions; escalates the rest
Leadership: None — building the craft

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

Promotion

The next rung from P1 is P2.

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
VP of Refinery Operations	jf_refinery::E1	$169,459†	confident0.06
Refinery Supervisor	jf_refinery::M1	$85,619†	confident0.06
Refinery Support Technician	jf_refinery::S1	$37,323†	confident0.06
Refinery Process Engineer	jf_refinery::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 51-8093

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

P1

jf_refinery::P1

Refinery Process Engineer

Refinery

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: refinery
Universal level: 1 / 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 · P1review0.17

Nuclear Power Plant · P1review0.17

Plant Maintenance (Energy/Mining) · P1review0.17

Plant Operations (Energy/Mining) · P1review0.17

Power Plant Management · P1review0.17

Renewables Plant · P1review0.17

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 51-8093	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)