BigQuery jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, BigQuery appears in 3,359 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning BigQuery, with demand down 48% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about BigQuery
+Is BigQuery in demand in 2026?
Yes. BigQuery appears in 3,359 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 48% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning BigQuery (17.7% of all postings mentioning BigQuery).
+What jobs require BigQuery?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning BigQuery are Analytics Engineering Director (30.0% of that role’s postings mention BigQuery), Analytics Engineer (20.5% of that role’s postings mention BigQuery), Agent Product Manager (19.5% of that role’s postings mention BigQuery).
+What skills are commonly paired with BigQuery?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), BigQuery most often appears alongside SQL, Python, Snowflake, DBT, data modeling.
+Where is BigQuery most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring BigQuery are New York City, San Francisco, London, Bengaluru, Washington, according to the Skillenai jobs index.
+How can I keep up with new BigQuery content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning BigQuery alongside the jobs index. You can subscribe to a daily email digest of new BigQuery content from your Skillenai account.
Weekly job postings requiring BigQuery — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require BigQuery
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Analytics Engineering Director | 6 | 30.0% |
| Analytics Engineer | 151 | 20.5% |
| Agent Product Manager | 8 | 19.5% |
| Marketing Data Analyst | 13 | 19.1% |
| Data & Analytics Engineer | 4 | 19.0% |
| Marketing Data Scientist | 4 | 19.0% |
| AI Data Engineer | 13 | 17.6% |
| Data Engineering Director | 12 | 16.9% |
| Data Infrastructure Engineer | 4 | 13.8% |
| AI Ops Engineer | 3 | 13.6% |
Roles with the most BigQuery postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 595 | 17.7% |
| Software Engineer | 371 | 11.0% |
| Data Analyst | 207 | 6.2% |
| Data Scientist | 175 | 5.2% |
| Analytics Engineer | 151 | 4.5% |
| Backend Engineer | 66 | 2.0% |
| Cloud Engineer | 43 | 1.3% |
| Engineering Manager | 41 | 1.2% |
| Product Manager | 41 | 1.2% |
| Machine Learning Engineer | 36 | 1.1% |
Top metros hiring for BigQuery
| Name | Postings | Share |
|---|---|---|
| New York City | 147 | 4.4% |
| San Francisco | 128 | 3.8% |
| London | 96 | 2.9% |
| Bengaluru | 75 | 2.2% |
| Washington | 69 | 2.1% |
| Berlin | 61 | 1.8% |
| Paris | 59 | 1.8% |
| Stockholm | 44 | 1.3% |
| Madrid | 42 | 1.3% |
Skills commonly paired with BigQuery
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning BigQuery by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s BigQuery postings by all BigQuery postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 9ae6cbca08f6707c
- data_as_of
- 2026-09-28
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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