H-1B Visa Senior Business Intelligence Engineer Jobs
Senior Business Intelligence Engineer roles qualify as H-1B visa specialty occupations under USCIS standards, requiring at least a bachelor's degree in computer science, information systems, or a related field. Tech, finance, healthcare, and retail companies regularly file LCAs for this title, making it one of the more actively sponsored engineering roles.
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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
See all 174+ H-1B Visa Senior Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior Business Intelligence Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Business Intelligence Engineer
Align your degree to the role
USCIS scrutinizes whether your degree field directly relates to BI engineering. A computer science or information systems degree clears this easily. If yours is in a related but adjacent field, document how your coursework maps to data warehousing, SQL, and analytics.
Search LCA filings by SOC code
BI Engineer roles typically file under SOC 15-1244. Pull OFLC disclosure data filtered to that code to identify which employers filed LCAs in the past two years. This surfaces active sponsors you won't find by job title alone.
Use Migrate Mate to find verified sponsors
Filter by role and employer on Migrate Mate to see companies with confirmed H-1B LCA filing history for BI and data engineering titles. This cuts out employers who say they sponsor but haven't filed for this type of role.
Verify prevailing wage before negotiating
Run the OFLC Wage Search for your target metro and SOC code before salary discussions. Your offer must meet the DOL prevailing wage at the correct level, and knowing Level II versus Level III thresholds helps you spot underpaying sponsors early.
Confirm E-Verify enrollment before accepting
H-1B employers must be enrolled in E-Verify to sponsor. Ask HR directly before you invest time in interviews. Employers outside E-Verify can't file your petition, and discovering this after an offer wastes your 60-day grace period.
Time your start date around cap-gap coverage
If you're transitioning from OPT and selected in the H-1B lottery, your employment authorization extends automatically under cap-gap rules until October 1. Negotiate your offer start date to fall on or after October 1 to avoid any gap in authorized work status.
H-1B Visa Senior Business Intelligence Engineer: Frequently Asked Questions
Does a Senior Business Intelligence Engineer role qualify as an H-1B specialty occupation?
Yes. USCIS treats BI engineering as a specialty occupation because the role requires at least a bachelor's degree in a specific technical field such as computer science, information systems, or statistics. The connection between the degree and job duties must be direct. Titles involving data warehousing, ETL pipeline development, or enterprise reporting tools consistently meet this standard.
Which industries sponsor H-1B visas most often for this role?
Technology companies, financial services firms, large retail and e-commerce operations, and healthcare systems file LCAs for Senior BI Engineer positions regularly. Consulting firms that place BI contractors at client sites also sponsor frequently, though their petition structure differs. You can verify filing history for specific employers using Migrate Mate before targeting your applications.
What documents should I have ready when a sponsoring employer starts the H-1B process?
Your employer needs your academic transcripts and degree certificate, a credential evaluation if your degree is from outside the U.S., your current visa and I-94 record, and a detailed job description that ties your duties to your degree field. For BI roles, that means specifying tools like Tableau, Power BI, Snowflake, or similar platforms alongside the technical requirements.
Can I switch employers mid-H-1B if I find a better BI role?
Yes, under H-1B portability rules, you can start working for a new employer as soon as they file an H-1B transfer petition, without waiting for approval. Your new employer files a new I-129, and you're covered from the receipt notice date. The new role must still qualify as a specialty occupation under the same BI engineering standards.
How do I know if an employer's H-1B sponsorship offer is genuine?
Ask HR whether they're enrolled in E-Verify, whether they've sponsored this role before, and whether they cover USCIS filing fees. Legitimate sponsors file the LCA with DOL before submitting the I-129 to USCIS and don't ask you to pay petition fees. You can also check employer LCA filing history through Migrate Mate to confirm past sponsorship activity for BI titles.