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.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 30, 2026
Technologies in use
39
Postings analysed
12
Open now
9
Modernity
92 /100
New in 6 months
8

What programming languages does EverQuote use?

SQL is named in 58% of job postings at EverQuote, followed by Python (50%), TypeScript (25%), Java (17%).

SQL 7 58% required in 86% · 5 open now · since Apr 2026
Python 6 50% required in 83% · 3 open now · since Apr 2026
TypeScript 3 25% required in 100% · 3 open now · since Mar 2026
Java 2 17% required in 100% · 1 open now · since Apr 2026
Go 1 8% required in 100% · 1 open now · since Jul 2026
Rust 1 8% required in 100% · since Sep 2026
JavaScript 1 8% optional · 1 open now · since Mar 2026

What frameworks and libraries does EverQuote use?

Scikit-learn is named in 17% of job postings at EverQuote, followed by Angular (8%).

Scikit-learn 2 17% required in 50% · 1 open now · since Aug 2026
Angular 1 8% required in 100% · 1 open now · since Mar 2026

What databases does EverQuote use?

Snowflake is named in 33% of job postings at EverQuote.

Snowflake 4 33% required in 100% · 4 open now · since Aug 2026

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%).

AWS 4 33% required in 100% · 3 open now · since Apr 2026
Kubernetes 4 33% required in 100% · 4 open now · since Mar 2026
Anthropic 1 8% required in 100% · 1 open now · since Sep 2026
GCP 1 8% required in 100% · 1 open now · since Aug 2026
Linux 1 8% required in 100% · since Apr 2026
SIEM 1 8% required in 100% · since Apr 2026

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%).

Docker 4 33% required in 75% · 4 open now · since Mar 2026
Copilot 2 17% required in 100% · 2 open now · since Mar 2026
Model Context Protocol 2 17% required in 100% · 1 open now · since Sep 2026
dbt 2 17% optional · 2 open now · since Aug 2026
Claude Code 1 8% required in 100% · 1 open now · since Mar 2026
OpenAI Codex 1 8% required in 100% · 1 open now · since Aug 2026

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%).

Claude 2 17% required in 100% · 2 open now · since Aug 2026
LLM 1 8% required in 100% · since Sep 2026
LoRA 1 8% required in 100% · since Sep 2026
QLoRA 1 8% required in 100% · since Sep 2026
PEFT 1 8% optional · since Sep 2026

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%).

A/B Testing 4 33% required in 100% · 4 open now · since Mar 2026
CI/CD 3 25% required in 100% · 2 open now · since Apr 2026
Machine Learning 3 25% required in 100% · 1 open now · since Aug 2026
AI Agents 2 17% required in 100% · 1 open now · since Sep 2026
Reinforcement Learning 2 17% required in 50% · 1 open now · since Aug 2026
Agentic Workflows 1 8% required in 100% · 1 open now · since Sep 2026
DPO 1 8% required in 100% · since Sep 2026
Fine-tuning 1 8% required in 100% · since Sep 2026
Show all (12)
IAM1
LLM Guardrails1
RAG1
SFT1

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 postings
AWS4
Kubernetes4
Docker3
Python3
TypeScript3
Claude2

Analytics

3 postings
SQL3
Snowflake3

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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.

First appeared
AI AgentsSep 2026
Model Context ProtocolSep 2026
SnowflakeAug 2026
dbtAug 2026
ClaudeAug 2026
Machine LearningAug 2026
Reinforcement LearningAug 2026
Scikit-learnAug 2026

How modern is the EverQuote stack?

Cutting-edge AI adopter 92/100

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.

SQL52%
Python49%
AWS39%
Kubernetes32%
Snowflake14%
TypeScript35%
Claude34%
Java22%
Scikit-learn10%
Angular10%

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

Licence: CC BY-SA 4.0JSON