BigQuery: market
BigQuery is GCP's serverless data warehouse: SQL over terabytes without cluster management, pay-per-query pricing, built-in BI Engine and BigQuery ML. We track 2 000 open positions listing BigQuery, 1 933 of them fresh. It is one of the main product-analytics warehouses: app events, marketing data and dashboard marts. Most of the demand comes from Data, Analytics Engineer and ML/AI roles. It most often appears next to SQL, Python and GCP. 42% of the postings allow fully remote work. Below is a live slice of BigQuery demand.
The BigQuery market currently has 2,000 open roles, 1,933 of them freshly observed. Median salary $8,622/mo. Observed candidate pool — 112.
42% of BigQuery postings allow fully remote work; the share counts only postings that state the work format.
⚠ salary known for 159 of 2000 jobs; remote share from 1727 with a stated format; 1933 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many BigQuery postings appeared each week since 10 Aug, and from how many sources. The second line separates market growth from coverage growth: a jump in the week new sources were connected means we started seeing more, not that the market grew.
New postings and active sources per week
Sources over the period: 89
New sources connected: 17 Aug +10 · 24 Aug +9 · 31 Aug +7 · 7 Sept +3 · 14 Sept +8 · 21 Sept +22 · 28 Sept +3 · 5 Oct +4 · 12 Oct +6
Week = posting first-seen date, all statuses. A posting belongs to the technology by its stack tag; the series starts on 10 Aug 2026 — earlier tags were assigned differently and are not comparable. Sources are distinct collection channels; their names are not published.
Salaries over time
Median BigQuery salary per week, USD per month.
Median salary, USD per month
Only postings with a USD salary and a known period (month or year), $500–$50,000 per month. Weeks with fewer than 10 such postings are left blank — that means no data, not zero.
Remote work over time
Share of BigQuery postings offering fully remote work, per week.
Remote postings, %
The share is among postings that state a format (remote, hybrid, office). Weeks with fewer than 10 such postings are left blank.
Countries over time
How the share of BigQuery postings in each of the top countries changed, per week.
Postings in the country, %
Share among postings with a known country; the chart shows the five countries with the most postings over six months. Weeks with fewer than 20 postings with a known country are left blank. A rising share can mean a newly connected source in that country rather than market growth.
Demand and observed supply
| Open demand | 2,000 |
| Observed supply | 112 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution
One in ten earns under $4,250, one in ten over $15,625. Half the market falls between $5,851 and $13,333. Sample: 159.
The range histogram for BigQuery postings uses only postings with an explicit compensation range; the median is computed over the same sample.
Demand geography
| country | jobs |
|---|---|
| US | 453 |
| PL | 423 |
| GB | 106 |
| IN | 98 |
| DE | 74 |
| CA | 55 |
| ES | 36 |
| UA | 28 |
| BR | 23 |
| NL | 22 |
The top country for BigQuery demand is the US (453 positions).
⚠ job counts only: salary by country is not published
Used together with
BigQuery most often appears next to SQL, Python and GCP. dbt among the neighbours signals analytics engineering on top of the warehouse.
Roles that use it
| role | jobs |
|---|---|
| Data | 874 |
| Analytics Engineer | 201 |
| ML/AI | 165 |
| DevOps | 126 |
| Fullstack | 109 |
| Backend | 90 |
| Product | 53 |
| Architect | 53 |
| AI Engineer | 44 |
| Platform Engineer | 33 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Demand by grade
| grade | jobs |
|---|---|
| senior | 782 |
| middle | 157 |
| principal | 123 |
| lead | 121 |
| junior | 43 |
Senior-and-above is about 84% of 1 226 graded BigQuery postings.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers
Demand is spread across 927 employers. The largest accounts for 1.8%, the top ten for 9.4%; the remaining 90.6% is long tail.
| share | value |
|---|---|
| top-1 | 1.8% |
| top-3 | 4.2% |
| top-10 | 9.4% |
| long tail | 90.6% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Where Zorky sees this market
Observed across 60 sources; the largest accounts for 26.3% — this market does not rest on a single channel.
BigQuery postings arrive mostly from ATS & career sites and job boards & aggregators.
Recent openings
- Fullstack Software Engineer (m/f/n) · PL · $7,350
- Senior DevOps Engineer · PL
- Data Engineer · PL · $3,500
- Senior Manager, Client Analytics Partner · GB · $14,318
- FinOps Engineer · PL
- Senior Data Analytics Business Analyst – Cloud & Big Data · PL · $5,696
- Data Product Manager
- Staff Security Engineer, Data Science Engineering · US
Adjacent markets
⚠ adjacent markets for comparison are not defined yet
How this is measured
- Vacancy
- an open job that cleared the quality gate and lists at least two technologies
- Observed candidate
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Matchable candidate
- not counted yet
- Window
- jobs open at the moment the snapshot was built
About the data
- Some breakdowns are hidden: their data coverage is not yet sufficient.
- Statistics are shown only where the sample clears a quality gate.
- A missing block does not mean a value of zero.
Breakdowns currently hidden: 7.
Data as of 2026-10-22
Frequently asked questions
Common questions about the BigQuery market — short answers from the same data slice.
Which roles need BigQuery?
Data and analytics engineers — for models and pipelines, product and marketing analysts — for queries and reports, ML engineers — for feature preparation.
What matters about BigQuery beyond SQL?
Table partitioning and clustering (they determine query cost), nested and repeated fields, minimizing scanned bytes, access control, batch loading and streaming.
How big is the BigQuery market?
The slice tracks 2 000 open BigQuery positions; the skill almost always comes paired with SQL, Python and dbt.