# Data Engineer Skills in Demand: SQL, Python, ETL, Cloud

**Use case:** 

A ready-made run over live data engineering postings on seven public job boards. Each row is a skill with its posting count, share, employers, seniority split and co-skills. In the run behind this page SQL and Python each appeared in 65% of ads, ETL in 50%, and Airflow and Spark in about 40% each.

## Input

```json
{
  "queries": [
    "data engineer"
  ],
  "boards": [
    "WeWorkRemotely",
    "Jobicy",
    "RemoteOK",
    "WorkingNomads",
    "Arbeitnow",
    "Himalayas",
    "Remotive"
  ],
  "extraSkills": [
    "Webflow",
    "SAP",
    "Klaviyo"
  ],
  "minPostingsPerSkill": 3,
  "maxJobsPerQuery": 1000,
  "includeJobs": false
}
```

## Output

```json
{
  "skill": {
    "label": "Skill"
  },
  "category": {
    "label": "Category"
  },
  "query": {
    "label": "Role"
  },
  "postings": {
    "label": "Postings",
    "format": "number"
  },
  "sharePercent": {
    "label": "Share of postings %",
    "format": "number"
  },
  "seniorPlusPercent": {
    "label": "Senior or above %",
    "format": "number"
  },
  "publishedPayPercent": {
    "label": "Publish pay %",
    "format": "number"
  },
  "topCompanies": {
    "label": "Top employers",
    "format": "array"
  },
  "topCoSkills": {
    "label": "Asked for alongside",
    "format": "array"
  },
  "boards": {
    "label": "Boards",
    "format": "array"
  },
  "jobsAnalyzed": {
    "label": "Postings analysed",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Skills in Demand: What Employers Are Hiring For Now](https://apify.com/precious_bathmat/skills-in-demand.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/precious_bathmat/skills-in-demand.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/precious_bathmat/skills-in-demand.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`).