The named list still points at the published data engineering peer pack (466 employed)
This page is the employed-versus-open depth cut, not a second named list. For the Netflix, Uber, Databricks, Airbnb, Snowflake Data Engineer named list, use the data engineering peer pack (466 employed).
Seat cut: employed and open are two cells, not one
Employed stays locked at 466; open jobs measure 6 as of 2026-09-22 PT. Zeros stay zeros.
Denominator: employed = current profiles on five exclusive company homepage records; open = active jobs in the same title family. As of 2026-09-22 PT. Source: Metix AI.
Netflix 173 against 5: a 34.6× employed-to-open multiple
The citeable contrast is Netflix: 173 employed Data Engineers against 5 open Data Engineer jobs — a 34.6× multiple. Swap the company name for Airbnb or Uber and the sentence breaks.
Denominator: current profiles on Netflix's exclusive homepage record (www.netflix.com), and active Netflix Data Engineer / Senior Data Engineer jobs. As of 2026-09-22 PT.
Airbnb 79 against 1; Uber 89 against 0
Airbnb maps 79 employed against 1 open — a 79× multiple. Uber maps 89 employed and 0 open — zeros stay zeros. Databricks and Snowflake open stay 0 too. None of these sentences survive a company-name swap with Netflix's 34.6×.
| Company | Employed (locked) | Open (measured) | Homepage |
|---|---|---|---|
| Netflix | 173 | 5 | www.netflix.com |
| Uber | 89 | 0 | www.uber.com |
| Databricks | 85 | 0 | www.databricks.com |
| Airbnb | 79 | 1 | www.airbnb.com |
| Snowflake | 40 | 0 | www.snowflake.com |
| Total | 466 | 6 | five exclusive records |
Employed figures stay locked from data-eng-peer-pack-2026; open figures are measured on the same title family. As of 2026-09-22 PT. Source: Metix AI.
This is not a second peer pack, and not a Data Scientist seat
The named list and employed ladder stay on the data engineering peer pack. This page only answers employed versus open. Data Scientist and Analytics Engineer stay outside both cells. Exclusive homepage denominators and Senior inclusion are on the series methodology page.
Methodology
Employed cell: current Data Engineer / Senior Data Engineer profiles on five exclusive company homepage records, locked from the peer pack and not re-queried here. Open cell: the same title family measured on active jobs; a measured zero stays zero. Exclusive homepage denominators, Senior inclusion, and the rule that open jobs are cited only when measured are on the series methodology page. As of 2026-09-22 PT. Source: Metix AI.
Ask Metix to run the same map on your names
The published peer-pack list stays fixed at 466 across the five names; this page only adds the measured open cells. Request a custom map for another company set on the same seat.
FAQ
- Where does Netflix's 34.6× multiple come from?
- 173 employed divided by 5 open equals 34.6. Those two integers come from the locked peer-pack employed cell and this page's measured open cell, as of 2026-09-22 PT.
- Is Uber's open cell 0, or unmeasured?
- It is a measured 0. Uber, Databricks, and Snowflake each measured 0 open jobs; zeros stay zeros rather than blank cells.
- Where is the named list?
- The named list lives on the data engineering peer pack (466 employed). This page is the employed-versus-open depth cut and does not duplicate that list.
- How should this page be cited?
- Metix AI Talent Intelligence, 2026-09-22. Data Engineer Employed vs Open: Netflix 173 against 5 | Metix AI. https://metix.ai/reports/series/data-eng-employed-vs-open-2026
Request the data engineering peer pack (five names · 466 current people)
The named list points at data-eng-peer-pack-2026. The same methodology can also export mapped current Data Engineer profiles at Netflix, Uber, Databricks, Airbnb, Snowflake.
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