Which Companies Use Python?

Which companies use Python? Most large employers with a software, data or research team, which makes the question less about whether and more about where. Job postings answer the where: which employers are hiring for it now, in which industries and at what company size. Here is the current list, the mix behind it and the query that rebuilds it.

The employers with the most active postings naming Python, as of 2026-09-09:

• JPMorganChase
• Amazon.com
• Google
• Micron Technology
• HCLTech
• Apple
• Deloitte
• EPAM Systems
• Lockheed Martin
• Northrop Grumman

This is not a list of software companies. Python is the language of data teams, back-end teams and research groups, so the employers hiring for it span several industries and include consultancies staffing client work. The full list, with domains and the country split, is on the companies using Python page.

How to find out which companies use Python

1. Search by skill. Call POST /v1/jobs/search with skills_or set to ["python"]. Group the rows by company and sort by open roles. That is the list above, live.
2. Decide what counts as using it. Python as the product language shows up in back-end and platform postings. Python as a tool shows up in analyst, quant and research postings. Both are real use; filter with job_title_or if you only want one. A recruiter sourcing Python engineers wants the first group; a vendor selling to data teams wants the second, and the same query serves both once the title filter is set.
3. Read the stack around it. Each row’s technology_slugs lists everything else the posting names. Django next to Python means a web back end; dbt, Databricks or Snowflake means a data platform; Python on its own is often analytics. That reading is what turns a skill match into a stack, as described in what is a tech stack in business.
4. Cut by industry and size. Use isic_division_or and the employee count filters, or read the chart below for where postings naming Python concentrate.
5. Compare with other skills. skills_or accepts several slugs, so one query finds companies naming Python alongside Rust or Kubernetes. The ranking of skills per function is in in-demand skills.

How many companies use Python? Postings cannot count companies, but they give a share: 4.7% of active postings on the ten collected boards name it. That is a minority of postings, because most roles at any employer are not technical, and it is still the most-named technology JobsPipe tracks. The share measures hiring that names Python, not the share of companies running it, and a company with one Python posting and one with fifty count the same in a company list, which is why the posting share and the company list answer different questions.

Where JobsPipe fits

JobsPipe is a jobs data API that collects live postings from LinkedIn, Indeed, Y Combinator, Naukri, Workday, Greenhouse, Workable, SmartRecruiters, Ashby, Lever and Paylocity, returns them as one schema with closure tracking and a ghost score, and includes a free tier of 1,000 jobs a month. The list, narrowed to the roles where Python is the product language, is one request against jobspipe.dev:

curl -X POST https://api.jobspipe.dev/v1/jobs/search \
  -H "Authorization: Bearer $JOBSPIPE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "skills_or": ["python"], "job_title_or": ["backend engineer", "software engineer"], "posted_at_max_age_days": 30, "limit": 100 }'

Add max_ghost_score to drop postings that have outlived their board’s norm, and discovered_at_gte to see only companies that started hiring for it since your last check.