Business Intelligence Engineer II H-1B salary at Amazon Corporate — 62 certified filings (FY2016–FY2017)
- 46
- Filings · FY2017
- $113k
- Median base · FY2017
- $110k–$115k
- Middle 50% · FY2017
- −9%
- vs market median · all years
Amazon Corporate filed 46 certified H-1B LCAs for Business Intelligence Engineer II in FY2017 (up 188% from the year before), with a median base salary of $113k and the middle 50% of offers between $110k and $115k. Across all years its $113k median is 9% below the $125k market median for Business Intelligence Engineer II. It has filed 62 Business Intelligence Engineer II LCAs since FY2016, most often in Seattle, WA.
How much does Amazon Corporate pay a Business Intelligence Engineer II?
Certified base salary for Business Intelligence Engineer II at Amazon Corporate by fiscal year: each box is the p25–p75 range, the heavy line the median, the whiskers reach p10–p90. $113k median in FY2017. Base pay only — hover a year for its figures.
Does Amazon Corporate pay Business Intelligence Engineer IIs above the market?
Amazon Corporate's all-years median against every employer's certified Business Intelligence Engineer II LCAs — 9% below the market. Same cleaned DOL title, same base-salary definition, so the two rows compare like for like.
| Base salary for this title | Filings | Median |
|---|---|---|
| Amazon Corporate | 62 | $113k |
| All employers · Business Intelligence Engineer II | 3,674 | $125k |
How has Amazon Corporate's Business Intelligence Engineer II hiring changed by year?
16 certified Business Intelligence Engineer II filings in FY2016 → 46 in FY2017. The change column is each year against the one before.
| Fiscal year | Filings | vs prior FY | Median base |
|---|---|---|---|
| FY2017 | 46 | +188% | $113k |
| FY2016 | 16 | — | $112k |
Which wage levels does Amazon Corporate file for Business Intelligence Engineer II?
DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 3% of Amazon Corporate's Business Intelligence Engineer II filings sit at Level III–IV. Higher levels earn more entries in the wage-weighted H-1B lottery.
Share of 32 Business Intelligence Engineer II filings with a wage level · all years
- Level I3.1%1
- Level II93.8%30
- Level III3.1%1
Where does Amazon Corporate hire H-1B Business Intelligence Engineer IIs?
Worksite states and cities on the certified filings for this title, all years, with the median base salary at each.
| State | Filings | Median base |
|---|---|---|
| Washington | 62 | $113k |
| City | Filings | Median base |
|---|---|---|
| Seattle, WA | 62 | $113k |
Also filed as
Amazon Corporate's other sponsored titles, and the employers that file the most Business Intelligence Engineer II LCAs. All years.
Other titles at Amazon Corporate
| Job title | Filings | Median base |
|---|---|---|
| Software Development Engineer II | 1,382 | $132k |
| Software Development Engineer I | 837 | $107k |
| Senior Product Manager | 230 | $120k |
| Technical Program Manager | 196 | $132k |
| Data Engineer II | 170 | $122k |
| Program Manager | 169 | $98k |
| Software Development Manager | 167 | $152k |
| Software Development Engineer III | 145 | $152k |
| Quality Assurance Engineer II | 140 | $120k |
| Senior Program Manager | 99 | $115k |
Top Business Intelligence Engineer II sponsors
| Employer | Filings | Median base |
|---|---|---|
| Amazon.com Services | 2,848 | $125k |
| Amazon Web Services | 347 | $125k |
| Amazon Development Center U.S. | 99 | $118k |
| Amazon Data Services | 93 | $125k |
| Chewy | 44 | $140k |
| Amazon Advertising | 41 | $126k |
| Pillpack | 23 | $114k |
| Bop | 11 | $120k |
| Amazon Fulfillment Services | 10 | $111k |
Common questions about Business Intelligence Engineer II H-1B pay at Amazon Corporate
- How much does Amazon Corporate pay a Business Intelligence Engineer II on an H-1B?
- Amazon Corporate's median certified H-1B base salary for Business Intelligence Engineer II is $113k in FY2017, from 46 filings; the middle 50% of offers fall between $110k and $115k. Across all years the median is $113k.
- How many Business Intelligence Engineer II H-1B LCAs has Amazon Corporate filed?
- Amazon Corporate has 62 certified H-1B Labor Condition Applications for Business Intelligence Engineer II on record (FY2016–FY2017), 46 of them in FY2017. That is 1% of its 6,062 certified filings across all titles.
- Does Amazon Corporate pay Business Intelligence Engineer IIs above the market?
- Amazon Corporate's all-years median of $113k is 9% below the $125k median for Business Intelligence Engineer II across all H-1B employers (3,674 certified filings).
- Where does Amazon Corporate hire H-1B Business Intelligence Engineer IIs?
- Amazon Corporate's Business Intelligence Engineer II LCAs name worksites mostly in Washington; the top cities are Seattle, WA.
- Does a certified LCA mean an H-1B visa was approved?
- No. A Labor Condition Application (LCA) is the Department of Labor attestation an employer must have certified before filing an H-1B petition with USCIS. It records the job, worksite and offered wage, but not whether the petition was filed, selected in the lottery, or approved. Filing counts measure intent to sponsor, not headcount.
- What salary do these figures show?
- The base annual wage offered on the certified LCA, converted to a yearly amount. Bonus, equity, overtime and benefits are not included, so total compensation is typically higher. Figures are medians and percentiles over certified filings; wages above $5,000,000 a year are excluded as data-entry errors.
- What do prevailing-wage levels I–IV mean?
- The Department of Labor assigns each LCA an OES wage level from I (entry) to IV (fully competent) for the occupation and area. Under the FY2027 wage-weighted H-1B lottery rule, a higher level earns more selection entries, so an employer's level mix is a proxy for how senior its sponsored roles are.
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Source: U.S. Department of Labor, Office of Foreign Labor Certification — certified LCA disclosure data through June 2026 (FY2016–FY2017). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →