Python jobs in the United States: who is hiring, what they ask for and what they pay

Python jobs in the United States are mostly remote, senior, and salary-listed

Jobee counted 12,902 open Python jobs in the United States on 12 November 2026. These are Jobee's counts of open postings on that date. The market is led by a handful of very large employers, most postings are remote, and the typical ad asks for senior-level experience plus AWS, SQL, and cloud tooling.

Who is hiring Python developers in the United States

The biggest employer in this slice is Amazon.com Services LLC, with 1,057 postings. NVIDIA follows with 996, and Google has 819. After that the list spreads out, but the same pattern continues: Databricks has 284, Amazon Kuiper Manufacturing Enterprises LLC has 280, Amazon Web Services, Inc. has 271, Bright Vision Technologies has 234, Salesforce has 225, Amazon Development Center U.S., Inc. has 224, Anthropic has 212, Waymo has 186, and Amazon Data Services, Inc. has 165.

That concentration matters for applicants. A market led by a few very large employers usually means many similar job families: platform work, infrastructure, machine learning, data systems, and product engineering. If your background is broad Python application work only, the postings here suggest you may be competing against people who also bring cloud, distributed systems, or AI-related experience.

It also means job titles can hide a lot. A Python opening at one of these employers may be for backend engineering, data engineering, applied science support, infrastructure automation, or platform roles. When the employer name is this large, the safest way to read the advert is to focus on the skills list rather than the title alone.

Where Python jobs in the United States are located

The largest city-level cluster is San Francisco, with 848 postings. Seattle has 819, Santa Clara 715, New York 595, Washington 595, Austin 484, Mountain View 469, Sunnyvale 418, San Jose 117, Chicago 87, Palo Alto 80, and Denver 79.

This is a familiar shape for Python roles tied to large employers and high-growth tech teams. The West Coast dominates, especially the San Francisco Bay Area and Seattle. New York and Washington also show up strongly, which usually points to a mix of product, platform, enterprise, and public-sector-adjacent work.

For candidates, the city list is useful even when a job is remote. Companies often attach a posting to a hub location for payroll, team alignment, or occasional office use. If you live near one of these centers, you will likely see more roles that match your time zone and hiring footprint. If you do not, the remote filter becomes the more useful signal.

How much of the Python jobs in the United States market is remote

Remote work is the dominant setup in this slice. 6,910 of 12,902 postings (53.6%) are remote. Another 682 of 12,902 postings (5.3%) are hybrid, and 1,009 of 12,902 postings (7.8%) are on-site. 4,301 of 12,902 postings (33.3%) do not say where the work happens.

That leaves a large share of the market open to remote applicants, but the location field is not always enough on its own. More than a third of postings do not say where the work happens, so a job can look flexible before the details clarify whether it is fully remote, tied to a hub, or only open in a few states.

The practical takeaway is simple: remote is common enough to be a real option, but it is not universal. If you are applying from outside the usual tech hubs, the best opportunities are likely to be in the remote group, followed by postings that do not name a work location yet.

What seniority Python jobs in the United States ask for

Senior roles dominate this market. Senior appears in 6,015 postings, or 46.6%. Mid-level appears in 1,613 postings, or 12.5%. Lead appears in 738 postings, or 5.7%. Staff appears in 664 postings, or 5.1%. Junior appears in 473 postings, or 3.7%. Intern appears in 295 postings, or 2.3%. Director appears in 257 postings, or 2.0%. Principal appears in 160 postings, or 1.2%. VP appears in 11 postings, and C-level appears in 3. Seniority is not stated in 2,673 postings, or 20.7%.

This is the clearest signal in the whole dataset: employers want experienced Python people. The junior share is small, and the senior bucket is by far the largest. Even the mid-level share is much smaller than the senior share.

If you are earlier in your career, that does not mean there is no path in. It does mean you need to read these adverts carefully. A “Python engineer” role may say nothing about seniority in the title, but the body may expect architecture decisions, ownership of services, cloud deployment, and cross-functional work. If the posting does not state seniority, assume you need to prove it from the responsibilities and the scale of your past work.

If you are applying at the senior end, these counts suggest the market will reward depth rather than generic Python experience. Employers are not just asking for coding; they are asking for ownership.

What employers ask for alongside Python jobs in the United States

Python is rarely asked for alone. The most common companion skill is AWS, which appears in 4,660 postings, or 36.1%. SQL follows with 4,463 postings, or 34.6%. Java appears in 3,387 postings, or 26.3%. C++ appears in 3,262 postings, or 25.3%. CI/CD appears in 2,731 postings, or 21.2%. LLM appears in 2,636 postings, or 20.4%. Azure appears in 2,280 postings, or 17.7%. Google Cloud appears in 2,253 postings, or 17.5%. Kubernetes appears in 2,125 postings, or 16.5%. Linux appears in 2,044 postings, or 15.8%. TypeScript appears in 1,725 postings, or 13.4%. JavaScript appears in 1,661 postings, or 12.9%.

This skill mix says a lot about the work behind the ads. AWS and the other cloud platforms are near the top, which points to infrastructure-heavy Python roles rather than only scripting or lightweight automation. SQL’s high share shows how often Python is paired with data access, reporting, analytics, or data engineering. Java and C++ are also common, which suggests that Python is often one piece of a larger engineering stack.

CI/CD, Kubernetes, and Linux show that employers want people who can ship and run software, not just write it. LLM appearing in 2,636 postings is a notable signal too: a sizable part of the market now wants Python talent that can work on AI-adjacent or model-related systems.

For applicants, this means a plain Python CV is weaker than one that shows the ecosystem around Python. If your background includes AWS, SQL, CI/CD, Kubernetes, or LLM work, surface that early. If it does not, consider whether your projects or past roles can demonstrate at least one of those adjacent skills.

How often Python jobs in the United States mention salary

Salary is listed in 8,179 of 12,902 postings (63.4%). 4,723 of 12,902 postings (36.6%) do not state a salary.

That is a strong disclosure rate for this market, but it is not complete. More than a third of postings still leave pay unstated, so candidates should not assume every Python job will show its range up front.

The obvious application strategy follows from that figure. When salary is listed, compare the range against the role level and the required stack. When salary is not listed, bring it up early, because the data shows you are likely to encounter a substantial number of adverts where the employer has not volunteered pay.

What Python jobs in the United States pay

For the 7,817 postings with yearly salary data in USD, the lower quartile is 148,000 USD, the median is 185,000 USD, and the upper quartile is 225,000 USD.

Those figures fit the senior-heavy profile of the market. A median of 185,000 USD suggests that many employers are hiring experienced people for roles with real ownership, not entry-level scripting work. The upper quartile at 225,000 USD shows that the top end is strong for candidates with the right stack and seniority.

The important limit is also clear: this pay data comes only from postings that state yearly salary in USD. It does not describe every job in the market, and it does not mean every Python role pays the same. It does mean the advertised compensation is high enough that salary should be part of your screening criteria, not an afterthought.

If you are weighing whether to apply, the pay figures suggest a good filter. Roles asking for AWS, SQL, Kubernetes, and senior ownership are the ones most likely to align with the higher part of the listed range. Roles that are junior or unspecified in seniority may sit lower in the actual distribution even if the advertised range is broad.

Visa sponsorship and work authorization in Python jobs in the United States

Visa language appears in a small share of the market. 227 postings offer visa sponsorship. 580 say they will not sponsor a visa. 726 say they require work authorization.

Those counts do not cover every posting, but they tell you enough to act on. Sponsorship is rare compared with the total number of openings, while explicit work authorization language appears more often. That means many applicants will need to screen carefully before spending time on a role.

If you need sponsorship, the math is not encouraging, so read the location and eligibility lines before you apply. If a posting says it requires work authorization, do not assume later discussion will change that. The count shows that employers are being explicit often enough that you should treat eligibility as a first-pass filter.

What the recent Python jobs in the United States flow looks like

4,183 postings were posted in the last 30 days, which is 32.4% of the collected jobs.

That tells you the market is still actively refreshing, but not every opening is brand new. For applicants, the useful point is urgency: a sizeable share of ads are recent enough that they may still be actively reviewed. If you are looking for Python work now, recent postings are a reasonable place to focus because they are a substantial part of the total visible set.

The combination of recent postings and high salary disclosure suggests a live market where employers are still competing for experienced candidates. For a job seeker, that usually means faster responses for the best-matched applications and weaker responses for generic ones.

What to do with Python jobs in the United States

The data points to a market where senior experience, cloud skills, and system ownership matter more than Python alone. If you are applying, lead with the stack that matches the market: AWS, SQL, Kubernetes, Linux, CI/CD, and any LLM work you can prove. If you are early in your career, look hard at the few junior and intern postings, but expect many ads to be written for people who have already shipped production systems.

Treat salary as part of the first filter, not the last conversation. More than a third of postings do not list it, and the ones that do show a strong compensation band. Treat location the same way: more than half of the jobs are remote, but a large share do not state where work happens, so do not assume flexibility until the posting says so.

If you want to search these Python postings on Jobee, start with the employers and skill combinations that appear most often here.