Data Engineer
Builds the pipelines that make an organisation's numbers trustworthy. Unglamorous and structurally hard to remove.
- Pay band (est.)
- $115k–$200k
- Time to competence
- 4 years
- Licence
- None
- Setting
- desk
- Leverage
- high
- Place constraint
- low
- Physical demand
- 8/100
- Hours burden
- 55/100
Factor percentiles
Percentile against the whole curated set. Higher is better on that factor only.
- Play33th
Absorbing rather than merely paid.
- Specific knowledge43th
A combination of skills that is hard to copy.
- Leverage86th
Output that scales through code, media, capital or crew.
- Demand73th
Durability and shortage, scored conservatively.
- Pay93th
Mid-career floor and the range above it.
- Body92th
Inverse of physical demand and hours.
- Autonomy89th
Control of methods and time.
- People fit77th
Distance from your preferred people level.
- Place flexibility93th
Remote fit and freedom from specific metros.
- Time to skill79th
Inverse of years to competence.
- Meaning load38th
Care, craft and stewardship weight. Not a moral score.
- Downside tolerance94th
Inverse of named risk to body, market or platform.
Downside
Maintenance-heavy; visible only when a pipeline breaks.
Examine this against your weights
The percentiles above use the default weights. Set your own on the ranking and this vocation moves with them.
- Place constraint is low. Where you live is analysed at locationistics.com.
- Hours burden is 55/100 and people intensity 45/100. Who you are with is analysed at relationistics.com.
Source note: BLS-style wage patterns; estimate. All figures are estimates for comparison.