Does the peer pack still lock at 466?
Data & notes
| Name | Value | Share |
|---|---|---|
| Netflix | 173 | 37.1% |
| Uber | 89 | 19.1% |
| Databricks | 85 | 18.2% |
| Airbnb | 79 | 17.0% |
| Snowflake | 40 | 8.6% |
Compare the five benches
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Get the named list behind these 466 Data Engineers
The named list covers the companies and titles on this page. The scope line is the whole request.
Key takeaway · How to cite
Seniority split
Airbnb has the highest senior share at 59.5% (47 of 79). Uber is lowest at 28.1% (25 of 89).
Senior = current profiles on the same company record whose title adds a Senior / Staff / Principal prefix to Data Engineer (for example Senior Data Engineer), as of 2026-10-16 PT. Denominator = that company's current Data Engineer profiles.
Data & notes
| Company | Senior share | Senior-titled | Current |
|---|---|---|---|
| Airbnb | 59.5% | 47 | 79 |
| Netflix | 59.0% | 102 | 173 |
| Snowflake | 30.0% | 12 | 40 |
| Databricks | 28.2% | 24 | 85 |
| Uber | 28.1% | 25 | 89 |
Does Netflix at 173 still lock the Data Engineer lead seat?
The benches run from Netflix at 173 down to Snowflake at 40.
Data & notes
| Name | Value |
|---|---|
| Netflix | 173 |
| Uber | 89 |
| Databricks | 85 |
| Airbnb | 79 |
| Snowflake | 40 |
Absolute headcount vs share — does Netflix still lead Uber / Databricks?
Absolute headcount and share % can diverge: who is largest versus who holds the pack.
Data & notes
| Category | Headcount | Pack share % |
|---|---|---|
| Netflix | 173 | 37.1 |
| Uber | 89 | 19.1 |
| Databricks | 85 | 18.2 |
| Airbnb | 79 | 17 |
| Snowflake | 40 | 8.6 |
How concentrated: top two / mid / tail?
Top two hold 262/466 (56.2%); mid 164; tail 40.
Data & notes
| Name | Value | Share |
|---|---|---|
| Netflix+Uber | 262 | 56.2% |
| Databricks+Airbnb | 164 | 35.2% |
| Snowflake | 40 | 8.6% |
What it means for Data Engineer (466) / how to use it
This week open the named-list ask on Netflix: 173/466 (37.1%) — the largest bench first.
- Use Uber at 89/466 (19.1%) as the contrast narrow list; 1.94× behind Netflix.
- Tail Snowflake is only 40/466 (8.6%) — thin beside the anchor; do not expand past measured hosts at the same pace.
- Keep the ask inside this page's five measured Data Engineer benches totaling 466 (173 + 89 + 85 + 79 + 40).
How do we keep Data Engineer apart from Analytics Engineer and Data Scientist?
Data & notes
| Category | KEEP Data Engineer | OUT Data Engineering | OUT Analytics Engineer | OUT Software Engineer | OUT Data Scientist |
|---|---|---|---|---|---|
| Netflix | 202 | 21 | 132 | 2,564 | 126 |
Data & notes
| Category | Freeze hook | Wave21 re-check |
|---|---|---|
| Netflix Data Engineer | 173 | 202 |
Netflix Data Engineer Title Collision
Netflix currently has far more Data Engineer roles than Data Engineering roles, while Analytics Engineer and Software Engineer headcounts also merit attention. This title overlap may impact talent targeting and recruitment funnel precision, warranting a closer look at role naming conventions.
- As of 2026-11-04 PT, Netflix current title Data Engineer is 202 (Wave21 re-check; page hook stays freeze 173).
- Same day Netflix Data Engineering 21; Analytics Engineer 132; Software Engineer 2,564; Data Scientist 126 — all stay outside this pack.
- Lists order against the freeze pack of 466; Analytics Engineer / Data Scientist are not a Data Engineer stand-in.
Data Engineer Geo Mix: Top Three
In this data engineering peer pack, the United States leads by a wide margin, followed by India, with Canada and the United Kingdom rounding out the top four. This distribution highlights the concentration of data engineering roles in North America and South Asia, offering a reference for cross-regional hiring strategies.
- 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 the freeze pack of 466; country cells are a sourcing map, not a hook rewrite.
Netflix Anchor Wave21 Re-check
The Wave21 re-check shows Netflix's current Data Engineer count has risen notably from the frozen baseline, requiring confirmation of whether new hires or scope adjustments are included. We recommend recalibrating the anchor value against the latest organizational data to maintain consistency in subsequent analyses.
- Wave21 re-check Netflix Data Engineer = 202 (2026-11-04 PT).
- List buyers still order against the freeze pack of 466; the re-check is stability evidence only.
- If you need a today snapshot list, note the Wave21 as-of in the list ask.
As of 2026-09-22 PT · Source: Metix AI
Notes & method
Methodology
Benches are current Data Engineer headcount on each company's own record, dated 2026-09-22 PT. Records are exclusive, and the pack total adds them. Source: Metix AI.
FAQ
- Why these five companies for the Netflix-led Data Engineer pack (466)?
- The five companies each have an exclusive homepage record, so Data Engineer can be counted. Together they are 466 current Data Engineer profiles as of 2026-09-22 PT.
- Are the other titles in the Data Engineer total of 466?
- Data Scientist and Analytics Engineer are not part of the 466. Only spelled-out Data Engineer is in the 466, dated 2026-09-22 PT.
- Why do the two ends of the Data Engineer pack (466) differ?
- The rule is identical: Netflix 173, Snowflake 40. Dated 2026-09-22 PT, the gap is not a scope change.
- Can this Data Engineer seat (466) be reused?
- The published pack stays 466 across the five records, as of 2026-09-22 PT. The Data Engineer wording is reusable beyond these five.
Request the data engineering peer pack (five names · 466 current people)
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