Start with the five-company bench contrast before outreach
Netflix 173, Uber 89, Databricks 85, Airbnb 79, Snowflake 40: five records add to 466. Data Scientist and Analytics Engineer stay outside this page's scope.
Seat cut: spelled-out Data Engineer only
The seat is spelled-out Data Engineer only; Senior joins the same family. Five exclusive homepage records total 466 as of 2026-09-22 PT.
Denominator: sum of current Data Engineer profiles across five exclusive company homepage records, as of 2026-09-22 PT.
Netflix 173 sets the top of this Data Engineer pack
Netflix sets the top of the range. Its own exclusive company homepage record, www.netflix.com, carries 173 current Data Engineer profiles as of 2026-09-22 PT. Nobody else in the pack comes close, and because the record is exclusive to Netflix, that 173 is not inflated by acquired or parent brands.
Denominator: current profiles on the Netflix exclusive homepage record (www.netflix.com) matching Data Engineer / Senior Data Engineer, as of 2026-09-22 PT.
Uber 89 holds the next rung on its own record
Uber follows on its own exclusive company homepage record, www.uber.com, with 89 current Data Engineer profiles as of 2026-09-22 PT. Against Netflix, this rung is narrower under the same seat definition; the difference is bench depth rather than a different scope.
Denominator: current profiles on the Uber exclusive homepage record (www.uber.com) matching Data Engineer / Senior Data Engineer, as of 2026-09-22 PT.
Databricks 85 and Airbnb 79 sit in the waist
Databricks holds the mid band with 85 current profiles on www.databricks.com, and Airbnb follows with 79 on www.airbnb.com, both as of 2026-09-22 PT. The mid band is often the most under-read rung.
Denominator: current profiles on Databricks (www.databricks.com) and Airbnb (www.airbnb.com) exclusive homepage records matching Data Engineer / Senior Data Engineer, as of 2026-09-22 PT.
Snowflake 40 closes the tail on its own host
Snowflake closes the tail with 40 current Data Engineer profiles on its own exclusive company homepage record, www.snowflake.com, as of 2026-09-22 PT. A tail bench is not a dismissal: for hiring moves that need a precise seat picture, 40 is still a reachable, comparable pool.
Denominator: current profiles on the Snowflake exclusive homepage record (www.snowflake.com) matching Data Engineer / Senior Data Engineer, as of 2026-09-22 PT.
Five exclusive records add to 466
The pack total is 466 current Data Engineer profiles, the sum of the five exclusive company homepage records: 173 + 89 + 85 + 79 + 40 = 466, as of 2026-09-22 PT. Because the five records do not overlap on the seat being counted, the total is a clean addition.
Denominator: sum of current profiles across five exclusive company homepage records, as of 2026-09-22 PT.
Data Scientist and Analytics Engineer stay outside the 466
Data Scientist and Analytics Engineer titles remain outside the 466. They may sit beside Data Engineer on the same org chart, but the pack counts only the one spelled-out seat, so the total stays traceable to five exclusive company homepage records as of 2026-09-22 PT.
Denominator: sum of current Data Engineer profiles across five exclusive company homepage records; Data Scientist and Analytics Engineer sit outside this denominator, as of 2026-09-22 PT.
Methodology
Counting rule for this chapter. Every figure is a count of current profiles on one named company's own exclusive homepage record — Netflix, Uber, Databricks, Airbnb, Snowflake — never a rolled-up parent entity. The seat is kept deliberately narrow: spelled-out Data Engineer, with Senior counted in the same family. All numbers share a single as-of date, 2026-09-22 PT. Source: Metix AI.
| Metric | Value | Denominator |
|---|---|---|
| Netflix | 173 | current profiles on the Netflix exclusive homepage record (www.netflix.com) matching Data Engineer / Senior Data Engineer |
| Uber | 89 | current profiles on the Uber exclusive homepage record (www.uber.com) matching Data Engineer / Senior Data Engineer |
| Databricks | 85 | current profiles on the Databricks exclusive homepage record (www.databricks.com) matching Data Engineer / Senior Data Engineer |
| Airbnb | 79 | current profiles on the Airbnb exclusive homepage record (www.airbnb.com) matching Data Engineer / Senior Data Engineer |
| Snowflake | 40 | current profiles on the Snowflake exclusive homepage record (www.snowflake.com) matching Data Engineer / Senior Data Engineer |
Ask Metix to run the same map on your names
The published pack is fixed at 466 across the five exclusive company homepage records; the same single-seat scope can be applied to a different company record for your next hiring decision.
FAQ
- Why these five companies and not other Data Engineer employers?
- Because each of the five — Netflix, Uber, Databricks, Airbnb, Snowflake — has its own exclusive company homepage record, so its bench can be counted directly. Together they hold 466 current Data Engineer profiles across the five exclusive company homepage records as of 2026-09-22 PT.
- Does the total of 466 include Data Scientist or Analytics Engineer titles?
- No. The 466 is the sum of current Data Engineer profiles on the five exclusive company homepage records (173 + 89 + 85 + 79 + 40) as of 2026-09-22 PT; Data Scientist and Analytics Engineer titles are counted outside this seat.
- Why does Netflix sit at 173 while Snowflake sits at 40?
- The counting rule is identical for both: current Data Engineer profiles on each company's own exclusive homepage record as of 2026-09-22 PT. Netflix's record holds 173 and Snowflake's holds 40, so the gap reflects bench depth rather than a different scope.
- Can this same Data Engineer seat cut be remade for a company outside the published 466-person pack?
- Yes. The published data engineering peer pack stays fixed at 466 across the five exclusive homepage records as of 2026-09-22 PT, and the same spelled-out Data Engineer seat can be applied to another company record on request.
Request the data engineering peer pack (five names · 466 current people)
The same methodology can export mapped current Data Engineer profiles at Netflix, Uber, Databricks, Airbnb, Snowflake, or rerun a custom peer pack on your target companies.
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