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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 · P7

19-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Entry-level engineer supporting geothermal resource development and power generation projects under close guidance. 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

Conduct field studies and surveys to collect geological data on geothermal prospects under structured supervision from senior staff
Analyze geological samples to determine their properties and log observations for the exploration record
Create and maintain geological maps and charts documenting surface geology of prospect areas
Assist with geophysical surveys and initial data interpretation as part of a 2-3 person field team
Prepare sections of reports and presentations to communicate field findings to the project geologist

Knowledge applied: Applies foundational earth-sciences and geothermal-systems knowledge from a bachelor's or master's degree to routine field data collection and sample analysis under detailed instruction.
Complexity & problem solving: Handles routine geological logging and mapping tasks with standard answers; escalates anything ambiguous to the project geologist.
Collaboration & interaction: Works within a small 2-3 person field team, maintaining stable internal relationships with senior geologists who direct the work.
Typical experience: 0-1 years; new graduate or intern with a relevant earth-sciences degree.

Skills at this level

Geothermal Conceptual Modeling: — Constructs integrated 2D and 3D conceptual models of geothermal systems by combining geologic, geochemical, geophysical, and well data in a reservoir platform such as Leapfrog to characterize subsurface heat and fluid flow.
Geothermal Exploration Data Evaluation: — Evaluates the full suite of geothermal exploration data — geochemical, petrochemical, geophysical surveys, temperature gradient, test drilling, and production data — to assess resource potential and identify drilling targets.
Hydrothermal and EGS Systems Knowledge: — Applies understanding of hydrothermal and enhanced geothermal (EGS) systems, structural geology, and fluid behavior to interpret reservoir characteristics and geothermal energy potential.
Geophysical Data QA/QC and Interpretation: — Performs quality assurance and quality control on geophysical survey data, analyzes it, and incorporates results into geothermal system models to refine subsurface interpretation.
Geochemistry and Surface Geology Analysis: — Analyzes geochemistry and surface geology data to build quality conceptual models of geothermal systems and infer subsurface conditions.
Geological Field Surveying: — Conducts field studies and surveys to collect geological data and analyzes geological samples to determine their physical and chemical properties for geothermal assessment.
Geological Mapping: — Creates and maintains geological maps and charts documenting surface geology and structural features of geothermal prospect areas.
Well Placement and Design Support: — Analyzes and interprets subsurface data and works with the engineering team to inform geothermal well placement and design decisions.
Geothermal Laws and Regulations: — Applies comprehensive understanding of the laws, regulations, and standards governing geothermal exploration, exploitation, and drilling to ensure compliant field operations.
Federal Funding Proposal Writing: — Writes funding-opportunity proposals to DOE and other federal sources to secure geothermal research, development, and deployment work.
Reservoir Mapping Innovation: — Proposes novel ideas and develops innovative solutions for mapping low- and high-temperature geothermal reservoirs beyond established methods.
Geothermal Analytical and Problem-Solving: — Applies observational, analytical, and problem-solving skills to assess geothermal resources and resolve subsurface interpretation challenges.
Technical Project Communication: — Communicates project plans, status, schedule, and budget through proposals, reports, and presentations to stakeholders, partners, and executives.

Model-authored from 18 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

Geothermal — 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 19-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

-22.9%Geoscientists, Except Hydrologists and Geographers · United States

29,200 → 22,510 jobs

2,000 openings / year, split into:

replacement / exits 1,919

Growth — new jobs (4%)Exits — backfill (96%)

4% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.2%
Growth share of hiring: 4%
Exit / retention pressure high: 96%
Openings / year: 2,000

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$101k

San Francisco-Oakland-Fremont, CA$90k

Washington-Arlington-Alexandria, DC-VA-MD-WV$83k

Boulder, CO$82k

Seattle-Tacoma-Bellevue, WA$82k

Boston-Cambridge-Newton, MA-NH$79k

Lexington Park, MD$77k

Trenton-Princeton, NJ$76k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $60k; 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 Geothermal Operations	jf_geothermal::E1	$169,459†	confident0.06
Geothermal Plant Supervisor	jf_geothermal::M1	$85,619†	confident0.06
Geothermal Technician Assistant	jf_geothermal::S1	$37,323†	confident0.06
Geothermal Engineer	jf_geothermal::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 19-2042

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_geothermal::P1

Associate Geothermal Engineer

Geothermal

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: geoscience
Family: geothermal
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").

Geology · P1review0.17

Geomatics · P1review0.17

Geophysics · P1review0.17

Petrophysics · P1review0.17

Technologist · 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 19-2042	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)