SQL demand is best read through vacancy evidence, role context, and the technologies used alongside it. ApplyDjinn separates core and required usage from supporting mentions so candidates can distinguish hands-on ownership from general stack exposure. Current hiring evidence includes DoorDash, Google, Anthropic. Leading observed locations include United States, California, United States, San Francisco, California, United States.
116 live roles21 hiring companies0% remote-friendly
Vacancy evidence map
Where SQL carries hiring weight
Each segment represents roles where SQL was parsed at that evidence tier. This keeps a required production skill separate from contextual stack language.
0 Core26 Required60 Supporting30 Optional
26core + required22% of mentions
5.5roles per company21 employers
Market interpretation
What SQL demand means in practice
SQL can represent different work depending on the role family and delivery environment. The live evidence map on this page shows whether employers treat it as a primary capability, a required implementation skill, supporting context, or an optional advantage. Companion demand such as AI, Python, Scalability, Data Science helps explain the actual systems and responsibilities behind the keyword.
A credible SQL application should connect the skill to a concrete system, decision, and result. State what you built, configured, migrated, secured, tested, or operated; name the scale and constraints; and explain the outcome. This gives hiring teams stronger evidence than a standalone skill badge or an undifferentiated list of tools.
Data and AIApplied engineeringPlatform deliveryAnalytics and operations
Reading the market
Signals to look for
Read SQL together with AI, Python, Scalability, Data Science; combinations reveal the likely workload and ownership boundary.
Core and required mentions deserve more weight than incidental text in a company or product description.
Role title, seniority, location, and adjacent skills determine whether prior experience transfers directly or needs a focused ramp-up.
It counts fresh vacancies where SQL was found in title, requirements, responsibilities, or stack evidence. The tier breakdown separates central requirements from supporting and optional mentions.
How should SQL appear on a CV?
Tie it to a specific project or production responsibility, the surrounding stack, the constraint you handled, and an outcome. Match the depth of the claim to the evidence shown in the target vacancy.
How SQL appears in job requirements
Inferred from the title and requirement wording in 116 active roles; each role is counted once. Read the methodology.
Posting evidence, not a company-wide stack claim
Main / core
0%(0)
Required
22%(26)
Supporting / context
52%(60)
Nice-to-have
26%(30)
Skills mentioned with SQL
A shared posting does not always require both skills. Explicit alternatives are counted separately.
AI
Python
Scalability
Data Science
Automation
Machine Learning