---
title: "Companies using Databricks"
description: "**Canonical URL:** https://jobspipe.dev/companies-using/databricks"
canonical: https://jobspipe.dev/companies-using/databricks
last_updated: 2026-09-10
---

# Companies using Databricks

> JPMorganChase, Databricks, Deloitte and Optum and more. Companies hiring for Databricks right now, and the share of Databricks postings by industry, country and company size, measured from live job postings.

**Canonical URL:** https://jobspipe.dev/companies-using/databricks
**Category:** Data platform
**Measured:** 2026-09-09, from active postings on the ten collected boards whose text names the technology (deduplicated by posting id). Shares only, no counts.
**Share of active postings naming Databricks:** 0.6%

Databricks is the lakehouse platform for teams that combine data engineering, Spark and machine learning. Postings name it in data engineer, ML engineer and data platform roles, and Spark or PySpark usually appear in the same requirement list.

Databricks runs entirely inside a company's cloud account, invisible to any scan. Postings reveal who has adopted it and for what: whether the roles lean toward pipelines, machine learning or governance tells you which part of the platform is in use.

## Companies hiring for Databricks right now

_Companies with the most active postings naming Databricks on the ten boards JobsPipe collects, as of 2026-09-09. Ordered by posting volume; counts are not published._

| Company | Domain | Website stack scan |
|---|---|---|
| JPMorganChase | [jpmorganchase.com](https://jpmorganchase.com) | https://jobspipe.dev/stack/jpmorganchase.com |
| Databricks | [databricks.com](https://databricks.com) | https://jobspipe.dev/stack/databricks.com |
| Deloitte | [deloitte.com](https://deloitte.com) | https://jobspipe.dev/stack/deloitte.com |
| Optum | [optum.com](https://optum.com) | https://jobspipe.dev/stack/optum.com |
| EPAM Systems | [epam.com](https://epam.com) | https://jobspipe.dev/stack/epam.com |
| HCLTech | [hcltech.com](https://hcltech.com) | https://jobspipe.dev/stack/hcltech.com |
| EY | [ey.com](https://ey.com) | https://jobspipe.dev/stack/ey.com |
| Capgemini | [capgemini.com](https://capgemini.com) | https://jobspipe.dev/stack/capgemini.com |
| Cognizant | [cognizant.com](https://cognizant.com) | https://jobspipe.dev/stack/cognizant.com |
| NTT DATA | [careers.services.global.ntt](https://careers.services.global.ntt) | https://jobspipe.dev/stack/careers.services.global.ntt |
| Ci&T | [ciandt.com](https://ciandt.com) | https://jobspipe.dev/stack/ciandt.com |
| Amgen | [amgen.com](https://amgen.com) | https://jobspipe.dev/stack/amgen.com |
| PwC | [pwc.com](https://pwc.com) | https://jobspipe.dev/stack/pwc.com |
| EXL Service | [exlservice.com](https://exlservice.com) | https://jobspipe.dev/stack/exlservice.com |
| General Motors (GM) | [gm.com](https://gm.com) | https://jobspipe.dev/stack/gm.com |

## Where Databricks shows up

### By industry (ISIC Rev.4 division of the employer)

- Software and IT services: 20.4%
- Financial services: 7.7%
- Employment and staffing: 5.2%
- Head offices and consulting: 2.3%
- Legal and accounting: 2.3%
- Healthcare: 1.9%
- Pharmaceuticals: 1.8%
- Insurance and pensions: 1.4%

### By country (job location)

- United States: 39.4%
- India: 13.6%
- United Kingdom: 5.7%
- Canada: 5.4%
- Brazil: 4.6%
- Germany: 2.6%

### By company size (employer headcount band, unknown excluded)

- 1000+ employees: 29.4%
- 201-1000 employees: 6.0%
- 51-200 employees: 4.3%
- 1-50 employees: 3.3%

## How JobsPipe detects Databricks

Every posting is parsed for technology mentions: the title and description are matched against a curated lexicon and the matches are stored on the job as `technology_slugs`. A posting that names Databricks carries the slug `databricks`. The `skills_or` filter on `POST /v1/jobs/search` returns every such posting with its company, location, seniority and salary where stated.

```bash
curl -X POST https://api.jobspipe.dev/v1/jobs/search \
  -H "Authorization: Bearer $JOBSPIPE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"skills_or": ["databricks"], "status": "active", "limit": 24}'
```

This is a hiring signal, not a purchase record: a company can name Databricks because it runs it, because it is migrating to or away from it, or because candidates are expected to know it.

## FAQ

### Which companies are hiring for Databricks right now?

JPMorganChase, Databricks, Deloitte, Optum, EPAM Systems and HCLTech are among the companies with the most active postings naming Databricks across the ten job boards JobsPipe collects, as of 2026-09-09. The list on this page is a snapshot; the live version is one API query with skills_or set to ["databricks"], grouped by company.

### Which industries use Databricks the most?

Among active postings that name Databricks, Software and IT services accounts for 20.4%, followed by Financial services at 7.7% and Employment and staffing at 5.2%. Industry is the ISIC Rev.4 division assigned to the employer of each posting.

### What size of company hires for Databricks?

The largest band is 1000+ employees, at 29.4% of active postings naming Databricks where the employer's headcount is known. Company size comes from the employer record attached to each posting and is unknown for a share of postings, which are excluded from the size split.

### How does JobsPipe know a company uses Databricks?

JobsPipe extracts technology mentions from each posting's title and description against a curated lexicon and stores them on the job as technology_slugs. A company appears on this page when its active postings name Databricks. It is a hiring signal, not proof of a purchase: a posting can name a technology a team is migrating away from or only wants experience with. Databricks runs behind login or inside the company's own infrastructure, so a website scan almost never sees it and job postings are the only public evidence of adoption.

## Related

- **All company lists:** https://jobspipe.dev/companies-using
- **Technographics guide:** https://jobspipe.dev/technographics
- **Free tech-stack scan:** https://jobspipe.dev/stack
- **Jobs API:** https://jobspipe.dev/jobs-api
- **Sign up (free tier):** https://jobspipe.dev/signup

---
Generated from structured data. View the rendered page at https://jobspipe.dev/companies-using/databricks.

---
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```bash
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  -H "Content-Type: application/json" \
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```

Sample data, exact live schema. For live data get a free key (1,000 jobs/month) at https://jobspipe.dev/signup, then swap /v1/sandbox/jobs/search for /v1/jobs/search with an Authorization: Bearer header. Full agent index: https://jobspipe.dev/llms.txt?src=md-twin