--- title: "Which Companies Use Python?" description: "[NewSearch millions of jobs from your AI agent with MCP→](/blog/jobspipe-mcp-server)" canonical: https://jobspipe.dev/blog/which-companies-use-python last_updated: 2026-09-10 --- [NewSearch millions of jobs from your AI agent with MCP→](/blog/jobspipe-mcp-server) [All posts](/blog) ![](/listly/card-field.png) GuidePython Guide·Sep 9, 2026·3 min read # Which Companies Use Python? Which companies use Python? Job postings name it across finance, cloud, hardware and consulting. Here is who is hiring for it and how to rebuild the list. ![Dvir Atias](/authors/dvir-atias.jpg) Dvir Atias Founder, JobsPipe 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](/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](/answers/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](/blog/in-demand-skills). - Software and IT services17.3% - Financial services7.1% - Employment and staffing4.9% - Electronics manufacturing3.3% - Other transport equipment2.3% - 1000+ employees26.4% - 201-1000 employees6.3% - 1-50 employees4.2% - 51-200 employees4.0% Share of active postings naming Python, by employer industry (top five ISIC divisions) and by employer size band. Size bands omit postings whose employer headcount is unknown. How this was measured Measured from active postings on the ten collected boards whose text names the technology (deduplicated by posting id). Generated 2026-09-09. Shares only: JobsPipe publishes percentages, not counts. A posting counts once per technology its text names. Industry is the ISIC Rev.4 division of the employer on each posting; size is the employer’s headcount band where known, so the size bars do not sum to 100%. Shares are cross-sectional for the current active set. ``` 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"],"status":"active","limit":25}' ``` 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](https://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. List the companies hiring for Python right now - 1,000 jobs a month free. ![](/listly/shape-heart.png) FAQs ## Frequently Asked Questions ### 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 Python, a minority of postings because most roles are not technical. It is the most-named technology in the set JobsPipe tracks. The figure measures hiring that names Python, not the share of companies running it. ### Which companies use Python the most? As of 2026-09-09, employers with the most active postings naming Python include JPMorganChase, Amazon.com, Google, Micron Technology, HCLTech. They span finance, cloud, hardware and consulting, which reflects Python's place in data and back-end teams across industries. The live ranking is one search with skills\_or set to \["python"\], grouped by company. ### How do I tell Python-as-product from Python-as-tool? Read the title and the rest of the stack. Back-end, platform and machine learning engineer postings use Python to build the product; analyst, quant and research postings use it as a tool. On each record, technology\_slugs shows what sits next to it: Django suggests a web back end, dbt or Databricks a data platform, Python alone is often analytics. [ ← Previous What Companies Use Salesforce? ](/blog/what-companies-use-salesforce)[ Next → Which Companies Use Shopify? ](/blog/which-companies-use-shopify) --- Canonical URL: https://jobspipe.dev/blog/which-companies-use-python Title: Which Companies Use Python? Description: Which companies use Python? Job postings name it across finance, cloud, hardware and consulting. Here is who is hiring for it and how to rebuild the list. --- AI agents: the full machine-readable index of this site is https://jobspipe.dev/llms.txt?src=md-twin - API quickstart, no-key sandbox (POST https://api.jobspipe.dev/v1/sandbox/jobs/search), MCP server, pricing. Free key: https://jobspipe.dev/signup