EverQuote tech stack
EverQuote builds mostly with SQL, Python, TypeScript, Java. Its stack also includes AWS, Kubernetes, Snowflake, Scikit-learn. SQL is named in 7 of the 12 job postings EverQuote published in the last 12 months (58%). Counted by Alion from the job postings of EverQuote, updated Sep 30, 2026.
What programming languages does EverQuote use?
SQL is named in 58% of job postings at EverQuote, followed by Python (50%), TypeScript (25%), Java (17%).
What frameworks and libraries does EverQuote use?
Scikit-learn is named in 17% of job postings at EverQuote, followed by Angular (8%).
What databases does EverQuote use?
Snowflake is named in 33% of job postings at EverQuote.
What cloud and platforms does EverQuote use?
AWS is named in 33% of job postings at EverQuote, followed by Kubernetes (33%), Anthropic (8%), GCP (8%).
What developer tools does EverQuote use?
Docker is named in 33% of job postings at EverQuote, followed by Copilot (17%), Model Context Protocol (17%), dbt (17%).
What AI and ML technologies does EverQuote use?
Claude is named in 17% of job postings at EverQuote, followed by LLM (8%), LoRA (8%), QLoRA (8%).
Which engineering practices does EverQuote ask for?
A/B Testing is named in 33% of job postings at EverQuote, followed by CI/CD (25%), Machine Learning (25%), AI Agents (17%).
Show all (12)
What does each EverQuote team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
5 postingsAnalytics
3 postingsHow does your stack fit EverQuote?
How is the EverQuote stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the EverQuote stack?
EverQuote scores 92 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 5; legacy ones: 0.
How common is the EverQuote stack in its industry?
Share of the 373 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like EverQuote
Questions about the EverQuote tech stack
What programming languages does EverQuote use?
The languages named in EverQuote job postings are SQL (58%), Python (50%), TypeScript (25%), Java (17%), Go (8%), as a share of the 12 postings of the last 12 months.
Does EverQuote use Scikit-learn?
Yes. Scikit-learn is named in 2 of 12 job postings (17%) and required in 1 of them.
What cloud and platforms does EverQuote use?
The cloud and platforms named in EverQuote job postings are AWS (4), Kubernetes (4), Anthropic (1) (postings in brackets).
What skills do you need for a Backend job at EverQuote?
Backend postings at EverQuote most often require AWS (4), Kubernetes (4), Docker (3), Python (3), out of 5 postings in the last 12 months.
Is the EverQuote tech stack changing?
Yes. AI Agents, Model Context Protocol, Snowflake, dbt first appeared in EverQuote job postings in the last six months.
How modern is the EverQuote tech stack?
EverQuote scores 92 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 5; legacy ones: 0.
How does Alion know the EverQuote tech stack?
Alion reads every job posting EverQuote publishes and tags the technologies each one names. The figures on this page count the 12 postings of the last 12 months and were updated on Sep 30, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "EverQuote tech stack: 39 technologies from 12 job postings", as of Sep 30, 2026. https://alion.io/company/everquote/technologies
