Companies using BigQuery that are hiring now
2,024 companies list BigQuery as a requirement in 4,292 open roles. Most of those roles are in data science, analytics and backend engineering teams. BigQuery most often appears next to Google BigQuery, Python, SQL, GCP and AWS. Roles that need it and state the pay sit at $140k a year in the middle.
Companies with the most open BigQuery roles
25 of 2,024 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
 Capgemini | France | 5000+ | 51 | Data science, AI and machine learning, DevOps and infrastructure | $130k |
 Fivetran | United States | 1001-5000 | 37 | Product management, Solutions engineering, Backend engineering | $202k |
 Accenture | Ireland | 5000+ | 34 | Data science, Analytics, Solutions engineering | $180k |
 Mercado Libre | Argentina | 5000+ | 32 | Analytics, Backend engineering, AI and machine learning | — |
 Deutsche Bank | Germany | 1001-5000 | 28 | AI and machine learning, DevOps and infrastructure, Backend engineering | $160k |
 Devoteam | France | 5000+ | 27 | Data science, DevOps and infrastructure, Sales | — |
 Salesforce | United States | 5000+ | 26 | Solutions engineering, Enterprise applications, AI and machine learning | $184k |
 Félix Pago | United States | 11-50 | 25 | Backend engineering, Engineering leadership, Finance | $241k |
 Delivery Hero | Germany | 5000+ | 24 | Analytics, Data science, Product management | — |
 PricewaterhouseCoopers | 5000+ | 24 | Data science, DevOps and infrastructure, Solutions engineering | — | |
 Publicis Groupe | France | 5000+ | 22 | Data science, Analytics, Backend engineering | $149k |
 Walmart | United States | 5000+ | 21 | Backend engineering, Data science, Analytics | $145k |
 Air Apps | United States | 1001-5000 | 21 | Data science, Analytics | $69k |
 Reddit | United States | 1001-5000 | 19 | Backend engineering, AI and machine learning, Frontend engineering | $229k |
 Mattel | United States | 5000+ | 19 | Data science, Analytics, DevOps and infrastructure | $137k |
 DoiT | United States | 18 | Data science, Backend engineering, DevOps and infrastructure | — | |
 Kauche | Japan | 18 | Backend engineering, Mobile engineering, QA and testing | $62k | |
 WPP Media | United States | 5000+ | 17 | Analytics, Data science, Sales | — |
 Raksul | Japan | 17 | Data science, Engineering leadership, Frontend engineering | $67k | |
 NCS Australia | Australia | 16 | Data science, DevOps and infrastructure, Solutions engineering | — | |
 CapTech | United States | 16 | Data science | $145k | |
 dentsu | Japan | 5000+ | 15 | Data science, Analytics, Marketing | $90k |
 About You | Germany | 1001-5000 | 15 | Backend engineering, Data science, Analytics | $87k |
 General Mills | United States | 5000+ | 15 | Analytics, Data science, AI and machine learning | — |
 Rakuten | Japan | 1001-5000 | 14 | Backend engineering, Data science, Analytics | — |
Where these companies are headquartered
What these companies also use
Teams hiring for BigQuery
Get all 2,024 companies as a list
Name, website, size, industry and headquarters of every company that requires BigQuery, through the API (company.getList with technology=BigQuery). 2,024 companies × 0.02 credits = 40.48 credits ($4.05).
Questions
How do you know a company uses BigQuery?
A company counts when at least one of its open job postings lists BigQuery as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of BigQuery itself are left out.
Which teams hire for BigQuery?
Of the 4,292 open roles that require it, most are in data science (1,381), analytics (669) and backend engineering (579).
What do BigQuery roles pay?
1,396 of the 4,292 roles state the pay. The middle of their posted ranges is $140k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=BigQuery returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.