# Data engineer and ML jobs from thousands of companies

**Use case:** 

Search every company in the built-in directory — Greenhouse, Lever, Ashby, Workday, SmartRecruiters and more — for data engineer, analytics engineer, data scientist and machine learning jobs posted in the last 7 days, with salary where published. Edit the keywords, locations or the day window.

## Input

```json
{
  "companies": [
    "OpenAI",
    "https://jobs.lever.co/palantir",
    "greenhouse:figma"
  ],
  "searchAllCompanies": true,
  "keywords": [
    "data engineer",
    "analytics engineer",
    "machine learning engineer",
    "data scientist"
  ],
  "searchInDescription": false,
  "workplace": "any",
  "postedWithinDays": 7,
  "onlyNew": false,
  "descriptionFormat": "text",
  "maxJobsPerCompany": 30,
  "maxItems": 100,
  "concurrency": 24
}
```

## Output

```json
{
  "company": {
    "label": "Company"
  },
  "title": {
    "label": "Job title"
  },
  "location": {
    "label": "Location"
  },
  "workplaceType": {
    "label": "Remote / hybrid"
  },
  "employmentType": {
    "label": "Type"
  },
  "department": {
    "label": "Department"
  },
  "salaryMin": {
    "label": "Salary from",
    "format": "number"
  },
  "salaryMax": {
    "label": "Salary to",
    "format": "number"
  },
  "salaryCurrency": {
    "label": "Currency"
  },
  "salaryPeriod": {
    "label": "Per"
  },
  "postedAt": {
    "label": "Posted",
    "format": "date"
  },
  "ats": {
    "label": "ATS"
  },
  "url": {
    "label": "Job page",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [ATS Jobs Scraper: Greenhouse, Lever, Ashby, Workday & 7 More](https://apify.com/sports-odds-lab/ats-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sports-odds-lab/ats-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sports-odds-lab/ats-jobs-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).