Syntax LLC H-1B wage filings

New York, NY. Last filed in fiscal 2026. Figures cover every filing since fiscal 2020; none in the latest 12 months reach five.

Syntax LLC filed 12 wage applications for H-1B and similar visas from fiscal 2020 to fiscal 2026. The median wage it offered was $88,919, 8.6% above the government's prevailing wage for the same jobs. Its most-filed job was Data Scientist (3 filings, median $80,000).

Filings since FY2020
12
Positions covered
12
Certified
100.0%
Job titles
7
Worksite cities
3
Last filed
FY2026

Offered wage since 2020

Syntax LLC made 12 filings across 6 fiscal years since 2020, too few in most years to track the wage year by year. Its busiest full year was fiscal 2022, with 3 filings.

Fiscal years run October to September. Fiscal 2026 is still running: these figures cover October 2025 to June 2026.

Syntax LLC by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
2026 (Oct to Jun)2n/an/an/an/a
20251n/an/an/an/a
20242n/an/an/an/a
20232n/an/an/an/a
20223$90,000n/a$76,960+16.9%
20210n/an/an/an/a
20202n/an/an/an/a

Offered wage by job title

Middle half of offered wagesMedian offered wageMedian prevailing wage

Job titleFilingsMedian offeredOffered range and prevailing wagevs prevailing
Data Scientist3$80,000+8.6%
Index Development Analyst3$90,000+16.9%
Index Operations Analyst2$98,919+16.8%
Emerging Markets Analyst1$74,797at the minimum
Research & Development Analyst1$75,000+4.6%
Research Assistant1$100,000+8.7%
Software Developer1$119,600+12.2%

Where the jobs are

WorksiteFilingsMedian offered
New York, NY10$88,919
Oklahoma City, OK1$80,000
Seattle, WA1$119,600

By visa type: 12 H-1B. By outcome: 8 certified, 4 certified and later withdrawn.

Seniority of the jobs filed

Level I, entry83%
Level II, qualified17%
Level III, experienced0%
Level IV, fully competent0%

The government assigns each job one of four wage levels. A higher level means a higher legal minimum.

What these numbers are

Source: U.S. Department of Labor, OFLC disclosure data. How we clean and count it.

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