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BigQuery: rynek

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 2 153 open positions listing BigQuery, 2 009 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. 40% of the postings allow fully remote work. Below is a live slice of BigQuery demand.

2153
otwarte oferty
$9375
mediana $/mies.
112
obserwowana podaż
40%
zdalnie

Rynek BigQuery ma obecnie 2153 otwarte role, w tym świeżo zaobserwowanych: 2009. Median salary $9375/mo. Observed candidate pool — 112.

40% of BigQuery postings allow fully remote work; the share counts only postings that state the work format.

⚠ salary known for 211 of 2153 jobs; remote share from 1854 with a stated format; 2009 counted as fresh observations; trend and hiring difficulty are not shown

Timeline: postings and sources

How many BigQuery postings appeared each week since Aug 10, 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: 100

New sources connected: Aug 17 +10 · Aug 24 +9 · Aug 31 +7 · Sep 7 +3 · Sep 14 +8 · Sep 21 +22 · Sep 28 +3 · Oct 5 +4 · Oct 12 +6 · Oct 19 +11

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.

Popyt i obserwowana podaż

Otwarty popyt2153
Obserwowana podaż112

⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown

Rozkład wynagrodzeń

Co dziesiąta osoba zarabia poniżej $4515, co dziesiąta powyżej $15 569. Połowa rynku mieści się między $6000 a $13 333. Próba: 211.

The range histogram for BigQuery postings uses only postings with an explicit compensation range; the median is computed over the same sample.

Geografia popytu

krajoferty
US507
PL454
GB107
IN106
DE77
CA52
ES39
BR33
UA28
NL22

The top country for BigQuery demand is the US (507 positions).

⚠ job counts only: salary by country is not published

Używana razem z

cloud 1476sql 1044python 1008gcp 960aws 614dbt 611airflow 581google cloud 522azure 449snowflake 447databricks 382google cloud platform 342

BigQuery most often appears next to SQL, Python and GCP. dbt among the neighbours signals analytics engineering on top of the warehouse.

Role, które jej używają

rolaoferty
Data874
Analytics Engineer207
ML/AI188
Fullstack130
DevOps114
Backend109
Architect75
Product67
AI Engineer52
Platform Engineer42

⚠ the `Other` and `IT` buckets are excluded as non-roles

Popyt według poziomu

poziomoferty
senior844
middle172
principal135
lead133
junior57

Senior-and-above is about 83% of 1 341 graded BigQuery postings.

⚠ demand side only: the grade of the observed pool is unknown for most of it

Pracodawcy

Popyt rozkłada się na 1022 pracodawców. Największy odpowiada za 1.7%, pierwsza dziesiątka za 8.8%; pozostałe 91.2% to długi ogon.

udziałwartość
top-11.7%
top-33.8%
top-108.8%
długi ogon91.2%

⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier

Gdzie Zorky widzi ten rynek

Obserwowane w 64 źródłach; największe odpowiada za 25.4% — ten rynek nie opiera się na jednym kanale.

BigQuery postings arrive mostly from ATS & career sites and job boards & aggregators.

Najnowsze ogłoszenia

Wszystkie oferty →

Sąsiednie rynki

SQLPythonGCPAWSdbt

⚠ adjacent markets for comparison are not defined yet

Jak to mierzymy
Oferta
an open job that cleared the quality gate and lists at least two technologies
Obserwowany kandydat
a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
Kandydat do dopasowania
not counted yet
Okno
jobs open at the moment the snapshot was built

O danych

  • Część przekrojów jest ukryta: pokrycie danymi jest jeszcze niewystarczające.
  • Statystyki pokazujemy tylko tam, gdzie próba przechodzi próg jakości.
  • Brak bloku nie oznacza wartości zero.

Obecnie ukryte przekroje: 7.

Dane na dzień 2026-10-27

Najczęściej zadawane pytania

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 2 153 open BigQuery positions; the skill almost always comes paired with SQL, Python and dbt.