Senior Business Intelligence Engineer Jobs in USA with Visa Sponsorship
Senior Business Intelligence Engineers are among the stronger candidates for H-1B visa and O-1 visa sponsorship. The role qualifies as a specialty occupation, requiring a bachelor's degree or higher in computer science, information systems, or a related field, and mid-to-large tech and finance employers sponsor regularly. For detailed occupation requirements, see the O*NET profile.
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We're looking for a Senior Business Intelligence Engineer (BIE) to build AI-native data products for Amazon Devices. You'll architect the semantic and contextual layers that make our business data machine-readable, designing MCP servers, tool schemas, and retrieval pipelines that let AI agents reason over sales, inventory, and demand planning data autonomously. You'll also own the underlying core tables and pipelines that feed both human dashboards and agent workflows.
This role sits at the intersection of data engineering, applied AI, and analytics product development. You'll define how machines understand and act on our business data, and scale that intelligence across multiple BI teams.
Key job responsibilities
- Architect and maintain production data pipelines (Iceberg, Redshift, Athena) that serve as the single source of truth for Devices sales, inventory, pricing, and demand planning metrics.
- Design and build MCP servers and semantic layers that expose core tables, metrics, and business logic to AI agents, including schema documentation, tool definitions, and retrieval-augmented context.
- Develop AI-powered automation for recurring business workflows: WBR narratives, flash reports, executive summaries, anomaly callouts, and forecast commentary using LLMs and agentic patterns.
- Build and maintain QuickSight dashboards for self-service analytics while progressively shifting routine queries to agent-driven interfaces.
- Implement data quality frameworks: automated validation, drift detection, monitoring, and alerting. Ensure reliability for both human consumers and AI systems.
- Design pipeline orchestration across multiple systems and schedules, optimizing for freshness, cost, and downstream dependency management.
- Partner with demand planning, forecasting, finance, and inventory teams to translate business requirements into well-scoped, AI-augmented data solutions.
- Evaluate and integrate emerging AI/ML capabilities (RAG, function calling, multi-agent systems) into the BI stack, establishing patterns other teams can adopt.
About the team
We build the data infrastructure and analytics that powers decision making across demand planning, forecasting, sales, and inventory for Amazon Devices globally. Our core tables serve as the single source of truth for metrics used in leadership reviews, business planning cycles (OP1, OP2, QxG), and High Velocity Events like Prime Day. We are actively building AI enabled tools, including chat agents and automated reporting, and migrating our reporting to Quick. Our team values ownership, quality, and thinking big. We move fast, ship real products, and work closely with PL leaders, finance, science, and engineering teams to deliver insights that matter.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 7+ years of SQL, ETL or Oracle experience
- 7+ years of processing large, multi-dimensional datasets from multiple sources experience
- 5+ years of developing automated reporting experience
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of data warehousing and data modeling
- Experience working directly with business stakeholders to translate between data and business needs
PREFERRED QUALIFICATIONS
- Experience managing, analyzing and communicating results to senior leadership
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
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, Seattle - 130,400.00 - 176,300.00 USD annually
DESCRIPTION
We're looking for a Senior Business Intelligence Engineer (BIE) to build AI-native data products for Amazon Devices. You'll architect the semantic and contextual layers that make our business data machine-readable, designing MCP servers, tool schemas, and retrieval pipelines that let AI agents reason over sales, inventory, and demand planning data autonomously. You'll also own the underlying core tables and pipelines that feed both human dashboards and agent workflows.
This role sits at the intersection of data engineering, applied AI, and analytics product development. You'll define how machines understand and act on our business data, and scale that intelligence across multiple BI teams.
Key job responsibilities
- Architect and maintain production data pipelines (Iceberg, Redshift, Athena) that serve as the single source of truth for Devices sales, inventory, pricing, and demand planning metrics.
- Design and build MCP servers and semantic layers that expose core tables, metrics, and business logic to AI agents, including schema documentation, tool definitions, and retrieval-augmented context.
- Develop AI-powered automation for recurring business workflows: WBR narratives, flash reports, executive summaries, anomaly callouts, and forecast commentary using LLMs and agentic patterns.
- Build and maintain QuickSight dashboards for self-service analytics while progressively shifting routine queries to agent-driven interfaces.
- Implement data quality frameworks: automated validation, drift detection, monitoring, and alerting. Ensure reliability for both human consumers and AI systems.
- Design pipeline orchestration across multiple systems and schedules, optimizing for freshness, cost, and downstream dependency management.
- Partner with demand planning, forecasting, finance, and inventory teams to translate business requirements into well-scoped, AI-augmented data solutions.
- Evaluate and integrate emerging AI/ML capabilities (RAG, function calling, multi-agent systems) into the BI stack, establishing patterns other teams can adopt.
About the team
We build the data infrastructure and analytics that powers decision making across demand planning, forecasting, sales, and inventory for Amazon Devices globally. Our core tables serve as the single source of truth for metrics used in leadership reviews, business planning cycles (OP1, OP2, QxG), and High Velocity Events like Prime Day. We are actively building AI enabled tools, including chat agents and automated reporting, and migrating our reporting to Quick. Our team values ownership, quality, and thinking big. We move fast, ship real products, and work closely with PL leaders, finance, science, and engineering teams to deliver insights that matter.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 7+ years of SQL, ETL or Oracle experience
- 7+ years of processing large, multi-dimensional datasets from multiple sources experience
- 5+ years of developing automated reporting experience
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of data warehousing and data modeling
- Experience working directly with business stakeholders to translate between data and business needs
PREFERRED QUALIFICATIONS
- Experience managing, analyzing and communicating results to senior leadership
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
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, Seattle - 130,400.00 - 176,300.00 USD annually
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Business Intelligence Engineer
Target employers with a history of BI sponsorship
Companies like Amazon, Microsoft, and major financial institutions file LCAs for BI roles regularly. Filtering by employers with consistent H-1B filing history narrows your search to sponsors most likely to move quickly on a qualified candidate.
Align your degree to the role's technical requirements
USCIS expects a direct relationship between your degree field and the position. Computer science, information systems, statistics, or engineering degrees are the strongest fits. A business degree alone may face scrutiny unless paired with relevant technical coursework.
Document your tool stack and technical specialization clearly
Proficiency in SQL, Python, dbt, Tableau, or Looker signals a specialized role rather than a general analyst position. The more technically specific your resume, the stronger the specialty occupation argument your employer can make to USCIS.
Expect the employer to lead the H-1B process
For H-1B sponsorship, the employer files the petition and pays filing fees. Your role is to provide education credentials, employment history, and supporting documents promptly. Delays on your end can push filing past cap deadlines or premium processing windows.
Understand where your experience sits in the prevailing wage tiers
DOL wage levels for Senior BI Engineers vary by metro area and experience. Senior-level roles typically map to Level III or IV. Employers file the LCA before your visa application, certifying the offered wage meets the prevailing standard for your location.
Use Migrate Mate to target sponsorship-ready BI roles
Not every BI job listing mentions visa sponsorship, but many employers who file H-1B petitions do so consistently. Migrate Mate surfaces roles from employers with active sponsorship histories, so you spend less time on dead ends.
Frequently Asked Questions
Does a Senior Business Intelligence Engineer role qualify for H-1B sponsorship?
Yes. Senior BI Engineer roles qualify as specialty occupations under H-1B visa criteria because they require at least a bachelor's degree in a specific technical field like computer science, information systems, or statistics. USCIS has approved H-1B petitions for BI roles consistently, particularly when the job description emphasizes technical skills like data modeling, SQL, and pipeline development over general business analysis.
What degree do I need for an employer to sponsor my visa as a Senior BI Engineer?
A bachelor's degree or higher in computer science, information systems, statistics, or a closely related technical field is the standard requirement. Degrees in business analytics may qualify if the curriculum was quantitatively rigorous. A general business or humanities degree without a strong technical component makes specialty occupation approval harder, though relevant graduate degrees or demonstrated equivalency through experience can help.
Can I get sponsored for an O-1A visa as a Senior Business Intelligence Engineer?
It's possible but less common than H-1B. The O-1A requires evidence of extraordinary ability, such as published work, peer recognition, speaking at industry conferences, or a record of high compensation relative to peers. Senior BI engineers at major tech firms who have led large-scale data infrastructure projects or received industry recognition are the strongest candidates. Standard senior-level experience alone is unlikely to meet the threshold.
How do I find Senior Business Intelligence Engineer jobs that offer H-1B sponsorship?
Most job listings don't explicitly state whether H-1B sponsorship is available, which makes filtering difficult on general platforms. Migrate Mate indexes roles from employers with documented H-1B filing histories, so you can prioritize applications to companies that have sponsored similar roles before. This is significantly more efficient than applying broadly and asking about sponsorship during screening calls.
Do senior-level BI roles face more or less H-1B scrutiny than junior analyst roles?
Generally less. Senior roles with specific technical requirements, clear degree prerequisites, and higher wage levels map cleanly to USCIS specialty occupation criteria. Junior or generalist analyst roles sometimes face RFEs because the job description can appear to accept any degree field. A well-documented senior BI role with explicit technical requirements and a Level III or IV DOL wage designation tends to produce fewer challenges.
What is the prevailing wage requirement for sponsored Senior 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.