Kevala, Inc. H-1B wage filings

San Francisco, CA. Last filed in fiscal 2025. Figures cover every filing since fiscal 2020; none in the latest 12 months reach five.

Kevala, Inc. filed 9 wage applications for H-1B and similar visas from fiscal 2021 to fiscal 2025. The median wage it offered was $139,925, 9.3% above the government's prevailing wage for the same jobs. Its most-filed job was Senior Data Engineer (3 filings, median $183,100).

Filings since FY2021
9
Positions covered
8
Certified
88.9%
Job titles
7
Worksite cities
6
Last filed
FY2025

Offered wage since 2021

Kevala, Inc. made 9 filings across 4 fiscal years since 2021, too few in most years to track the wage year by year. Its busiest full year was fiscal 2025, with 6 filings.

Fiscal years run October to September.

Kevala, Inc. by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
20256$161,089n/a$124,176+14.1%
20241n/an/an/an/a
20230n/an/an/an/a
20221n/an/an/an/a
20211n/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
Senior Data Engineer3$183,100+20.4%
Data Scientist1$149,850+33.8%
Data Scientist II1$108,210+4.5%
Distributed Energy Resource (DER) Analyst1$97,000+1.9%
Senior Data Scientist1$161,089+14.1%
Software Engineer I1$88,629at the minimum
Specialist, Customer Analytics1$130,000+53.8%

Where the jobs are

WorksiteFilingsMedian offered
Brooklyn, NY2$155,470
Durham, NC2$98,420
Irvine, CA2$170,000
Antioch, CA1$196,200
Chicago, IL1$130,000
San Francisco, CA1$97,000

By visa type: 9 H-1B. By outcome: 6 certified, 2 certified and later withdrawn, 1 withdrawn before a decision.

Seniority of the jobs filed

Level I, entry0%
Level II, qualified63%
Level III, experienced25%
Level IV, fully competent13%

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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