Job Postings 2026: India and United States

Key findings

1. 1,654,294 distinct job postings from 240,895 employers, January to June 2026: 1,320,685 in the United States and 333,609 in India.
2. 14% of postings state a salary. Median annualised pay: US $60.0K, India $8.7K; 91% of salaried postings are in the US.
3. Few postings advertise remote work. Postings marked remote (in the work-mode field or the title): 1.1% in India, 1.6% in United States; hybrid: 0.2% in India, 0.4% in United States.
4. The most requested skills across 458,559 postings that list skills: python (40,630), sql (30,259), excel (28,234), aws (18,795), java (18,370).
5. Healthcare is the largest role family (20% of postings with a role), followed by sales (10%) and finance (7%).
6. Tech pay gap: the median salaried software, data or cloud posting offers $116.5K in the US and $18.3K in India, 6× apart at market exchange rates.

Postings by month and country

Full data after deduplication. India counts rise sharply through the half-year, which reflects growing collection as well as hiring.

Most posted job titles (top 50)

Titles lower-cased, with location suffixes and "Hiring:" prefixes removed. Remote share is the share of postings marked remote.

Most requested skills with median salary (top 50)

Skills as listed in postings (lower-cased). Salary medians over postings that state a salary.

Top hiring companies (top 50 by postings)

Employer names as posted; staffing agencies post on behalf of clients.

Top 40 cities by postings

Salary percentiles by role family and country

Annualised US$; groups with at least 200 salaried postings.

Salary percentiles by seniority and country

Seniority from the posting, else inferred from the title.

Categories: remote and hybrid share, salary and experience

Categories with at least 1,000 postings. Remote and hybrid shares are of all postings in the category; most postings do not state a work mode, so these are lower bounds.

Column dictionary

17 columns in the sample CSV.

Method

1. Scope. Postings with a title and employer, located in India or the United States, published 2026-01-01 to 2026-06-30.
2. Deduplication. Postings with the same employer, normalised title and month are one posting; the copy with the most structured fields (role, salary, skills, category) is kept.
3. Privacy and provenance. URLs, source names, descriptions and recruiter details are not published. Posting IDs are a hash, not the source ID. Phone-number-like and e-mail-like strings are removed from titles; postings whose employer or title names a job board or data provider are dropped.
4. Labels. role and seniority come from the posting when it has them; otherwise they are inferred from the title with keyword rules (blank when no rule fits). category unifies occupation codes (mapped to their major occupation group) and free-text categories. remote is read from the posting and from "remote" / "hybrid" in the title.
5. Salary. Annualised from the posted range and pay unit (hourly × 2,080, weekly × 52, monthly × 12) and converted to US$. Kept only when a currency was given and the value lies between US$10,000 and US$1,000,000 (US) or US$1,200 and US$500,000 (India); otherwise blank.
6. Experience. Minimum years asked, 1–40; zero or not stated is blank.

7. Company link. A posting gets a company_domain only when its lower-cased employer name matches exactly one company in Fliar's company index in the same country.

8. Sample. Each companie key is ranked by sha1(key). Keys are taken in rank order until the file holds max(25%, 5,000) rows (capped at 100,000).

9. Profile links. Links are built from Fliar's company index and checked against it. A row whose company has no public profile has an empty link.

Limitations

• Collection is uneven over time: India counts grow sharply from January to June 2026, so month-to-month counts reflect collection as well as hiring.
• Some posted salaries carry the wrong pay unit (for example weekly pay annualised as monthly); obvious cases are blanked, others remain.
• A posting is not a hire; some postings are evergreen or advertise several openings.
• Inferred roles and seniority are keyword-based and can be wrong for unusual titles.
• Salary is posted for a minority of jobs, mostly in the United States, so salary statistics describe salaried postings only.
• Employer names are as posted (including staffing agencies), and most are not linked to a website.
• Deduplication is by employer, title and month: the same job posted in two months appears twice.

Cite this dataset

@misc{fliarbi_job_postings_2026_2026,
  author    = {{Fliar BI}},
  title     = {{Job Postings 2026: India and United States}},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.23432224},
  url       = {https://doi.org/10.5281/zenodo.23432224},
  note      = {Sample release. Licence CC BY-NC 4.0}
}