Business Intelligence Engineer Jobs in USA with Visa Sponsorship
Business Intelligence Engineer roles qualify as H-1B visa specialty occupations, making them strong candidates for employer sponsorship. With demand concentrated in tech, finance, and healthcare, international candidates on OPT, STEM OPT, or H-1B can find active sponsors filing LCAs for data modeling, ETL, and reporting engineering work. For detailed occupation requirements, see the O*NET profile.
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We are looking for a Business Intelligence Engineer to own and evolve our portfolio of QuickSight dashboards, Airflow-orchestrated data pipelines, and algorithmic data products.
You'll partner with LPE program managers, operations leaders, and scientists to translate workforce development questions into automated, self-service analytics that directly impact associate safety, training compliance, and operational efficiency.
Key job responsibilities
- Dashboard Development & Maintenance — Design, build, and maintain QuickSight dashboards across workforce domains including training compliance, onboarding health, labor sharing/cross-training, associate performance, and leader learning
- Data Pipeline Engineering — Build and optimize Airflow DAGs that refresh dashboards on intraday schedules (up to 4x/day), ensuring data freshness and reliability for operational decision-making
- Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms (LSXT UTR), labor allocation optimization, and dynamic headcount targeting models that feed directly into operational tools
- Metric Onboarding — Onboard and maintain metrics in platforms like Perfect Mile for SSD buildings
- Data Quality & Monitoring — Own pipeline health monitoring, alerting, and incident response for Sev 3 production dashboards
- Stakeholder Partnership — Work directly with LPE program teams to translate business requirements into scalable analytical solutions, supporting programs like Ambassador Scorecard, Associate Training Violations, and Roles Management
- Integration Across Data Sources — Join and transform data from KNET, Formulate, QE (Qualification Engine), Umbrella, Qualtrics, and LATIS into unified analytical views
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Learning, Performance & Engagement (LPE) Technical Solutions team within R2L Analytics builds and maintains 20+ production dashboards, data pipelines, and algorithmic products that power workforce training, labor allocation, and associate performance across Amazon's fulfillment network.
Our tools serve operations leaders across SSD, RSR, and GSF businesses — driving decisions around training compliance, cross-training, onboarding health, and labor optimization at scale. Everything we build refreshes multiple times per day and operates at Sev 3 support levels.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
We are looking for a Business Intelligence Engineer to own and evolve our portfolio of QuickSight dashboards, Airflow-orchestrated data pipelines, and algorithmic data products.
You'll partner with LPE program managers, operations leaders, and scientists to translate workforce development questions into automated, self-service analytics that directly impact associate safety, training compliance, and operational efficiency.
Key job responsibilities
- Dashboard Development & Maintenance — Design, build, and maintain QuickSight dashboards across workforce domains including training compliance, onboarding health, labor sharing/cross-training, associate performance, and leader learning
- Data Pipeline Engineering — Build and optimize Airflow DAGs that refresh dashboards on intraday schedules (up to 4x/day), ensuring data freshness and reliability for operational decision-making
- Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms (LSXT UTR), labor allocation optimization, and dynamic headcount targeting models that feed directly into operational tools
- Metric Onboarding — Onboard and maintain metrics in platforms like Perfect Mile for SSD buildings
- Data Quality & Monitoring — Own pipeline health monitoring, alerting, and incident response for Sev 3 production dashboards
- Stakeholder Partnership — Work directly with LPE program teams to translate business requirements into scalable analytical solutions, supporting programs like Ambassador Scorecard, Associate Training Violations, and Roles Management
- Integration Across Data Sources — Join and transform data from KNET, Formulate, QE (Qualification Engine), Umbrella, Qualtrics, and LATIS into unified analytical views
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Learning, Performance & Engagement (LPE) Technical Solutions team within R2L Analytics builds and maintains 20+ production dashboards, data pipelines, and algorithmic products that power workforce training, labor allocation, and associate performance across Amazon's fulfillment network.
Our tools serve operations leaders across SSD, RSR, and GSF businesses — driving decisions around training compliance, cross-training, onboarding health, and labor optimization at scale. Everything we build refreshes multiple times per day and operates at Sev 3 support levels.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
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Get Access To All JobsTips for Finding Visa Sponsorship as a Business Intelligence Engineer
Align your degree field to BI work
H-1B specialty occupation requires a directly related bachelor's degree. A degree in Computer Science, Information Systems, or Statistics maps cleanly to BI Engineer roles. Applied Mathematics or Engineering can qualify if your coursework covered data systems or analytics.
Use OFLC Wage Search to benchmark offers
Before accepting an offer, run your job title and location through OFLC Wage Search. Your employer's LCA must certify wages at or above the prevailing wage level, so knowing the Level I through Level IV range tells you whether the offer holds up at DOL.
Target companies with active LCA filing history
Use Migrate Mate to find employers with verified LCA filing history for BI and data engineering roles. Companies that have filed before understand the process and are far less likely to withdraw an offer midway through USCIS review.
Confirm STEM OPT eligibility before job searching
If your degree program carries a STEM-designated CIP code covering Computer Science, Data Science, or Statistics, you're eligible for a 24-month STEM OPT extension. Your employer must be enrolled in E-Verify to sign the required I-983 training plan.
Distinguish BI Engineer roles from analyst titles
Job titles matter at USCIS. A Business Intelligence Engineer role with explicit requirements for SQL development, data modeling, or pipeline architecture reads as a specialty occupation far more clearly than a generic analyst title, even if the work overlaps. Push for the engineering title in your offer letter.
Front-load technical documentation for the LCA
When your employer files the LCA with DOL, job duties must demonstrate specialty occupation. Supply a detailed position description covering BI tools you'll use, data infrastructure responsibilities, and degree requirements. Vague duty lists invite USCIS Requests for Evidence after the LCA clears.
Frequently Asked Questions
Does a Business Intelligence Engineer role qualify as an H-1B specialty occupation?
Yes. USCIS treats Business Intelligence Engineer roles as specialty occupations when the position requires at least a bachelor's degree in a directly related field such as Computer Science, Information Systems, or Statistics. If the job description lists BI-specific responsibilities like data modeling, ETL pipeline development, or dashboard architecture, it supports the specialty occupation argument. Generic analyst titles with identical duties can complicate the petition, so the job title and description in your offer letter both matter.
Which visa types support Business Intelligence Engineer sponsorship?
The H-1B is the most common path for BI Engineers. Australian nationals can use the E-3 visa, which has a separate cap and no lottery. Chilean and Singaporean nationals can apply under the H-1B1 visa. TN visa status does not cover Business Intelligence Engineer roles, as the USMCA profession list does not include that title. F-1 students working in a qualifying degree field can use OPT or STEM OPT before transitioning to employer-sponsored status.
What degree do I need for a Business Intelligence Engineer visa sponsorship?
USCIS requires a bachelor's degree or higher in a field directly related to the position. Computer Science, Information Systems, Data Science, and Statistics are the strongest matches. Applied Mathematics, Software Engineering, or Industrial Engineering can qualify if your coursework covered database systems or data analytics. A general business or liberal arts degree typically does not satisfy the specialty occupation requirement for a BI Engineer role without additional credential evaluation.
How do I find employers actively sponsoring Business Intelligence Engineer visas?
Migrate Mate lists U.S. employers with verified LCA sponsorship history for BI and data engineering roles, searchable by city and job type. Companies that have filed LCAs before are more familiar with the process and less likely to withdraw sponsorship once it starts.
Does STEM OPT work for Business Intelligence Engineer roles?
Yes, if your degree program has a STEM-designated CIP code, which typically includes Computer Science, Data Science, Information Technology, and Statistics programs. The BI Engineer role must directly relate to that degree field. Your employer must be enrolled in E-Verify and sign Form I-983 outlining your training plan. STEM OPT provides 24 months of additional work authorization beyond initial OPT, giving you up to 36 months total while pursuing H-1B sponsorship.
What is the prevailing wage requirement for sponsored Business Intelligence Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.