BigQuery
Google Cloud’s serverless data warehouse, queried with SQL.
Hiring data as of September 20, 2026 · refreshed daily
- companies naming it
- 9 of 47companies naming it
- open roles naming it
- 14open roles naming it
- of those based in NYC
- 10of those based in NYC
- median posted base (n=9)
- $215kmedian posted base (n=9)
What BigQuery means
BigQuery is a managed warehouse on Google Cloud that scales storage and compute automatically and bills by data scanned. Teams on Google Cloud use it where others would use Snowflake.
BigQuery in New York job posts
9 of the 47 New York AI companies we track name BigQuery in at least one open role today, across 14 postings. 10 of those are based in New York; the rest are remote or in the companies’ other offices.
It is not confined to one function. Engineering roles are the largest group, at only 43% of the postings that name it.
How to read it
A data-platform signal, and a hint about cloud choice: companies naming BigQuery are generally on Google Cloud, which also makes Gemini and Vertex AI the path of least resistance for their AI work.
What these roles pay
Midpoints of 9 distinct salary ranges posted on New York roles that name BigQuery. Base salary only; on-target earnings are excluded, and a range repeated across one company’s postings counts once. For comparison, the median across all New York engineering postings is $215k. A term’s pay reflects the roles that name it as much as the skill itself — see the role mix below before reading a premium into it. Full bands by function and seniority are in the NYC salary calculator.
Companies naming BigQuery, daily
Count of companies with at least one open role naming the term. We read between 47 and 48 companies a day over this period, so a move of one or two is noise.
View as table
| Date | companies |
|---|---|
| 2026-08-17 | 9 |
| 2026-08-18 | 8 |
| 2026-08-19 | 8 |
| 2026-08-20 | 9 |
| 2026-08-21 | 9 |
| 2026-08-22 | 9 |
| 2026-08-23 | 9 |
| 2026-08-24 | 9 |
| 2026-08-25 | 10 |
| 2026-08-26 | 10 |
| 2026-08-27 | 10 |
| 2026-08-28 | 10 |
| 2026-08-29 | 10 |
| 2026-08-30 | 10 |
| 2026-08-31 | 10 |
| 2026-09-01 | 10 |
| 2026-09-02 | 10 |
| 2026-09-03 | 10 |
| 2026-09-04 | 11 |
| 2026-09-05 | 11 |
| 2026-09-06 | 11 |
| 2026-09-07 | 11 |
| 2026-09-08 | 10 |
| 2026-09-09 | 10 |
| 2026-09-10 | 10 |
| 2026-09-11 | 10 |
| 2026-09-12 | 10 |
| 2026-09-13 | 10 |
| 2026-09-14 | 10 |
| 2026-09-15 | 10 |
| 2026-09-16 | 10 |
| 2026-09-17 | 10 |
| 2026-09-18 | 10 |
| 2026-09-19 | 9 |
| 2026-09-20 | 9 |
Who names it
Open roles naming BigQuery, by company.
- Ramp4
- AlphaSense3
- EvolutionIQ1
- Headway1
- Hume AI1
- K Health1
- Preql1
- Rogo1
- Runway1
Which roles
The same postings, by function and by seniority.
- Engineering6
- GTM3
- Other3
- Research2
- Mid7
- Senior4
- Manager1
- Staff/Principal1
- Director1
Named alongside BigQuery
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 9 companies pair the two.
Open roles naming BigQuery
A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.
- AI Engagement Manager ↗Runway · New York, NY
- Data Scientist ↗Ramp · New York, NY (HQ)
- Director of Analytics ↗K Health · New York, NY
- Senior Machine Learning (ML) Engineer (AI Insurtech) ↗EvolutionIQ · New York, NY or Remote
- Senior Platform Engineer ↗Hume AI · New York, New York, United States
- Software Engineer: Financial Data ↗Rogo · New York City
- Staff Data Infrastructure Engineer ↗Headway · New York, NY
- Forward Deployed Engineer, Finance Solutions ↗Preql · Remote
How this is counted
Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.
The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.
Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.
BigQuery — common questions
What does BigQuery mean in an AI job posting?
Google Cloud’s serverless data warehouse, queried with SQL. A data-platform signal, and a hint about cloud choice: companies naming BigQuery are generally on Google Cloud, which also makes Gemini and Vertex AI the path of least resistance for their AI work.
How many New York AI companies are hiring for BigQuery?
As of September 20, 2026, 9 of the 47 New York AI companies we track name BigQuery in the description of at least one open role, across 14 postings (10 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for BigQuery pay in New York?
Across 9 distinct posted salary ranges on New York roles naming BigQuery, the median midpoint is $215k base, with the middle half between $208k and $239k. The same figure for all New York engineering postings is $215k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.
Which skills are asked for alongside BigQuery?
In the same postings, the terms most distinctively paired with BigQuery are Databricks, Dagster, Snowflake, dbt, Google Gemini. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.
Need someone who has actually shipped this?
A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.
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