Data & notes
| Company | Employed | Open | Employed per open role |
|---|---|---|---|
| Airbnb | 79 | 1 | 79.0× |
| Netflix | 173 | 5 | 34.6× |
| Uber | 89 | 0 | not captured |
| Databricks | 85 | 0 | not captured |
| Snowflake | 40 | 0 | not captured |
Read the multiple first
Use this page's scope if you want the named list. The page already fixes the companies and the titles.
Key takeaway · How to cite
Does the five-host ledger still lock Netflix 173 / Airbnb 79.0×?
Read the ledger first: employed and open for each host, as of 2026-09-22 PT.
| Host | Employed | Open |
|---|---|---|
| Airbnb | 79 | 1 (low open-role count — ratio is volatile) |
| Netflix | 173 | 5 (low open-role count — ratio is volatile) |
| Uber | 89 | not captured |
| Databricks | 85 | not captured |
| Snowflake | 40 | not captured |
Get the named Data Engineer list behind this table
A named list can follow this page once the scope is right. The request stays inside the companies and titles on this page.
Is the deepest bench still Netflix 173 and busiest opens still Netflix 5?
Ratio lead Airbnb 79.0× (79 employed / 1 open) (see ratio chart above); bench lead Netflix 173; open lead Netflix 5.
Data & notes
| Name | Value |
|---|---|
| Netflix | 173 |
| Uber | 89 |
| Databricks | 85 |
| Airbnb | 79 |
| Snowflake | 40 |
Data & notes
| Name | Value | Share |
|---|---|---|
| Netflix | 5 | 83.3% |
| Airbnb | 1 | 16.7% |
Do ratio-lead Airbnb and bench-lead Netflix still sit apart?
The two rankings can diverge: bench volume and door density are different decisions.
Data & notes
| Category | Employed | Open roles |
|---|---|---|
| Airbnb | 79 | 1 |
| Netflix | 173 | 5 |
| Uber | 89 | 0 |
| Databricks | 85 | 0 |
| Snowflake | 40 | 0 |
What it means for Data Engineer employed vs open: what to do this week / how to use it
For door density this week: prefer the Airbnb multiple at 79.0× (79 employed / 1 open).
- For bench volume: prefer the Netflix pool of 173 employed.
- For live reqs: prefer Netflix's 5 captured open roles.
- Airbnb, Netflix: low open-role count — ratio is volatile; do not brief off the multiple alone.
Do uncaptured-open hosts still stay off the ratio?
Open roles were not captured at Uber, Databricks, Snowflake. A recorded 0 does not mean zero demand.
Coverage notes
Open roles were not captured at Uber, Databricks, Snowflake. Those hosts are listed in grey, with the employed count and no bar, and they are excluded from employed per open role.
There is no five-host peer-pack ladder here: the comparison is employed per open role on one seat.
Data & notes
| Category | KEEP Data Engineer | KEEP Senior Data Engineer | OUT Analytics Engineer | OUT Data Analyst | OUT Software Engineer |
|---|---|---|---|---|---|
| Netflix | 202 | 95 | 132 | 37 | 2,564 |
Data & notes
| Category | Freeze shelf | Wave36 re-check |
|---|---|---|
| Netflix Data Engineer | 173 | 202 |
Which LinkedIn titles collide into the Data Engineer employed cell?
This HV employed cell only keeps spelled-out Data Engineer / Senior Data Engineer. Wave36 re-checks adjacent titles at Netflix.
- As of 2026-11-04 PT, Netflix current title Data Engineer is 202 (Wave36 re-check; page shelf stays freeze 173).
- Same day Netflix Senior Data Engineer 95; Analytics Engineer 132; Data Analyst 37; Software Engineer 2,564 — the last three stay outside this ratio.
- Lists order against freeze ratios (Airbnb 79.0× / shelf Netflix 173); Analytics Engineer is not a Data Engineer stand-in.
Where do Data Engineers sit by country?
Split the top-three employed hosts (Netflix+Uber+Databricks) by address.country.
- As of 2026-11-04 PT, Data Engineer at top-three hosts by country (≥1 person): United States 270, India 66, Canada 3, United Kingdom 1.
- Lead country is United States 270; United States 270 and India 66 are both sourcing primaries.
- Lists order against freeze ratios; country cells are a sourcing map, not a hook rewrite.
Is the shelf anchor still stable? Wave36 re-check on Netflix
Freeze shelf Netflix 173 (2026-09-22 PT). Wave36 same-cut re-check is 202 — direction unchanged; page hook stays locked to freeze.
- Wave36 re-check Netflix Data Engineer = 202 (2026-11-04 PT).
- List buyers still order against freeze ratio (Airbnb 79.0×) and shelf (Netflix 173); the re-check is stability evidence only.
- If you need a today snapshot list, note the Wave36 as-of in the list ask.
As of 2026-09-22 PT · Source: Metix AI
Notes & method
Methodology
Employed is the current Data Engineer count on each company's own homepage record, as of 2026-09-22 PT. Open means active reqs for the measured titles. An open cell of 0 is uncaptured, not a claim of no demand. Source: Metix AI.
FAQ
- Does an uncaptured Data Engineer host get a bar?
- On this Data Engineer page, a host with uncaptured open roles is listed and gets no ratio bar. A recorded 0 means not captured, not zero demand.
- Is the Data Engineer page a peer-pack ladder?
- No. This page divides employed Data Engineer by captured open roles. Hosts whose open roles were not captured stay off the ratio.
- Who leads the Data Engineer multiple?
- The top of the ratio list is Airbnb 79.0× (79 employed / 1 open). The measurement date is 2026-09-22 PT.
- Where do the Data Engineer figures come from?
- The employed count and the open count are as of 2026-09-22 PT. Metix AI is the publisher.
Request the Data Engineer open-req list
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