# Job Data Lake

> Use this tool when you need to access a vast repository of job listings and filter them based on specific criteria such as keywords, skills, and location. The Job Data Lake solves problems related to job market research, recruitment, and career development by providing hourly updated data and AI-powered similar job discovery. It accepts keyword and filter inputs and outputs relevant job listings, making it ideal for use cases such as talent acquisition, salary benchmarking, and job searching.

Canonical page: https://skillsregistry.net/skills/gh-echojobsio-job-data-lake  
JSON: https://api.skillsregistry.net/v1/skills/gh-echojobsio-job-data-lake

## Description

Job Data Lake provides access to over 1 million job listings aggregated from 20,000+ companies across 40+ applicant tracking system platforms. It supports filtering by keyword, skills, salary, location, remote type, and seniority level, with AI vector matching for similar job discovery. Data is updated hourly with free tier access and paid plans available.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-echojobsio-job-data-lake)
- **Repository:** <https://github.com/echojobsio/jdl-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gh-echojobsio-job-data-lake"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-echojobsio-job-data-lake` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-echojobsio-job-data-lake/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt