Companies in the United States using BigQuery
673 companies headquartered in the United States list BigQuery as a requirement in 1,560 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 $170k a year in the middle.
Companies with the most open BigQuery roles
25 of 673 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Fivetran | 1001-5000 | 39 | Solutions engineering, Product management, Backend engineering | $207k |
 Salesforce | 5000+ | 27 | Solutions engineering, Enterprise applications, AI and machine learning | $184k |
 Félix Pago | 11-50 | 26 | Backend engineering, Engineering leadership, Finance | $256k |
 Walmart | 5000+ | 21 | Backend engineering, Data science, Analytics | $145k |
 Air Apps | 1001-5000 | 21 | Data science, Analytics | $69k |
 Mattel | 5000+ | 20 | Data science, Analytics, AI and machine learning | $131k |
 Reddit | 1001-5000 | 18 | Backend engineering, AI and machine learning, Frontend engineering | $229k |
 DoiT | 16 | Data science, Backend engineering, DevOps and infrastructure | — | |
 CapTech | 16 | Data science | $145k | |
 WPP Media | 5000+ | 15 | Analytics, Data science, Sales | — |
 General Mills | 5000+ | 15 | Analytics, Data science, AI and machine learning | — |
 Ford Motor Company | 5000+ | 14 | Data science, Backend engineering, AI and machine learning | $139k |
 Sigma Computing | 1001-5000 | 13 | Customer success, Solutions engineering, Engineering leadership | $158k |
 Hevo Data | 51-200 | 12 | Solutions engineering, Engineering leadership, Product management | — |
 TransUnion | 5000+ | 12 | Analytics, Backend engineering, DevOps and infrastructure | $114k |
 Formlabs | 501-1000 | 12 | Enterprise applications, Data science, Marketing | $132k |
 Charles Schwab | 1001-5000 | 11 | Data science, AI and machine learning, Backend engineering | $147k |
 Anthropic | 1001-5000 | 10 | Engineering leadership, Data science, Backend engineering | $383k |
 Mozilla Corporation | 1001-5000 | 10 | Security, Enterprise applications | $87k |
 Tiger Analytics | 501-1000 | 10 | Data science, Solutions engineering, AI and machine learning | — |
 Accenture Federal Services | 5000+ | 10 | Data science, AI and machine learning, DevOps and infrastructure | $148k |
 Omnicom | 5000+ | 10 | DevOps and infrastructure, Data science, Engineering leadership | $99k |
 Las Vegas Convention and Visitors Authority | 1001-5000 | 10 | Analytics, Product management | — |
 TRM Labs | 201-500 | 9 | Backend engineering, Data science, Enterprise applications | $205k |
 Verizon | 5000+ | 9 | AI and machine learning, Communications, Data science | — |
BigQuery in other countries
What these companies also use
Teams hiring for BigQuery
Get all 673 companies as a list
Name, website, size, industry and headquarters of every company that requires BigQuery, through the API (company.getList with technology=BigQuery and country=US). 673 companies × 0.02 credits = 13.46 credits ($1.35).
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 1,560 open roles that require it, most are in data science (488), analytics (222) and backend engineering (205).
What do BigQuery roles pay?
720 of the 1,560 roles state the pay. The middle of their posted ranges is $170k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=BigQuery and country=US 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.