Senior Power Bi Developer Jobs in USA with Visa Sponsorship
Senior Power BI Developer roles attract H-1B visa sponsorship from large employers in finance, healthcare, and tech. The specialty occupation requirement is well-established for this role, and many employers sponsor both new applicants and H-1B transfers without requiring lottery participation. For detailed occupation requirements, see the O*NET profile.
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AWS Global Network Delivery Services keeps the cloud running. We deliver and operate all AWS global infrastructure: every data center, every server, and every cable that gives hundreds of millions of customers uninterrupted access to the services they depend on. We work on some of the hardest supply chain and infrastructure problems in the world, with thousands of variables in play, and we're looking for people who want to help solve them.
You'll join a diverse, cross-functional team of Product managers, TIPMs, network engineers, planners, builders, and operations leaders around the world. Together we work across AWS to deliver the highest standards of safety and security while providing seemingly infinite capacity at the lowest possible cost. Our culture is inclusive, welcomes new ideas, and gives you room to own your work from start to finish.
We're looking for a Business Intelligence Engineer who is curious, learns quickly, and wants to grow by working on real, high-impact problems. You'll build the datasets, metrics, and dashboards that show how infrastructure delivery is performing, from intake through deployment to decommission. You'll work alongside senior BI Engineers, Data Engineers, and business partners to turn business questions into reliable, well-documented data.
What makes this role exciting? Your work won't sit unused. The datasets and dashboards you build will be used every week by planners, operators, and leaders to track delivery milestones and decide what to do next. You'll learn how a global infrastructure business runs, get hands-on with AWS data tools and AI-assisted analytics, and grow your skills through code reviews and mentorship from experienced engineers.
Key job responsibilities
- Work with business stakeholders, TIPMs, and senior team members to gather requirements for well-defined reporting and analysis needs, then translate them into queries, data models, and dashboards.
- Build and maintain datasets, ETL pipelines, and dashboards using SQL, Python, and AWS tools such as Redshift, S3, and QuickSight.
- Follow team standards for code reviews, data quality checks, documentation, and monitoring so your work is reliable and reusable.
- Run pipeline health checks, investigate data issues, and find the root cause, escalating to the right owners when needed.
- Analyze data to answer business questions and clearly explain what you found, including caveats, to stakeholders and your team.
- Use metric definitions and the team's data contracts consistently, and point out gaps or inconsistencies you find in source data.
- Try out AI tools and new approaches that make analysis faster or more insightful.
- Keep learning from code reviews, feedback, and senior teammates, and share what you learn with the team.
A day in the life
Your morning starts with dashboard pipeline health checks and a look at new intake requests. Then you dig into your current project: learning the source data, asking what decision a metric will support, and confirming requirements with your stakeholder before you write code. In the afternoon, you might build or update a dataset, refactor part of a legacy pipeline with guidance from a senior engineer, or walk a stakeholder through a draft dashboard. You finish the day by documenting what you learned and submitting your code for review. You'll be expected to understand a problem before building, and to be open about what you're unsure of.
About the team
We're the PAX Data and Analytics team, a small group of BI Engineers and Data Engineers inside one of the world's largest and fastest-growing data center organizations. We started less than a year ago with one mandate: turn operational complexity into decision-ready clarity.
We do more than build dashboards. We build context that helps leaders act with confidence and helps operators catch problems before they become incidents. Our work covers the full data lifecycle: sourcing raw operational data, building reliable pipelines, and delivering self-service tools that hundreds of people use every day. Every pipeline we ship and every standard we define becomes the foundation for what comes next. We're young, we're scrappy, and we're building something that will outlast us. It's a great place to learn and grow your career.
BASIC QUALIFICATIONS
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
PREFERRED QUALIFICATIONS
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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.
COMPENSATION
- 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 - 82,300.00 - 144,000.00 USD annually
DESCRIPTION
AWS Global Network Delivery Services keeps the cloud running. We deliver and operate all AWS global infrastructure: every data center, every server, and every cable that gives hundreds of millions of customers uninterrupted access to the services they depend on. We work on some of the hardest supply chain and infrastructure problems in the world, with thousands of variables in play, and we're looking for people who want to help solve them.
You'll join a diverse, cross-functional team of Product managers, TIPMs, network engineers, planners, builders, and operations leaders around the world. Together we work across AWS to deliver the highest standards of safety and security while providing seemingly infinite capacity at the lowest possible cost. Our culture is inclusive, welcomes new ideas, and gives you room to own your work from start to finish.
We're looking for a Business Intelligence Engineer who is curious, learns quickly, and wants to grow by working on real, high-impact problems. You'll build the datasets, metrics, and dashboards that show how infrastructure delivery is performing, from intake through deployment to decommission. You'll work alongside senior BI Engineers, Data Engineers, and business partners to turn business questions into reliable, well-documented data.
What makes this role exciting? Your work won't sit unused. The datasets and dashboards you build will be used every week by planners, operators, and leaders to track delivery milestones and decide what to do next. You'll learn how a global infrastructure business runs, get hands-on with AWS data tools and AI-assisted analytics, and grow your skills through code reviews and mentorship from experienced engineers.
Key job responsibilities
- Work with business stakeholders, TIPMs, and senior team members to gather requirements for well-defined reporting and analysis needs, then translate them into queries, data models, and dashboards.
- Build and maintain datasets, ETL pipelines, and dashboards using SQL, Python, and AWS tools such as Redshift, S3, and QuickSight.
- Follow team standards for code reviews, data quality checks, documentation, and monitoring so your work is reliable and reusable.
- Run pipeline health checks, investigate data issues, and find the root cause, escalating to the right owners when needed.
- Analyze data to answer business questions and clearly explain what you found, including caveats, to stakeholders and your team.
- Use metric definitions and the team's data contracts consistently, and point out gaps or inconsistencies you find in source data.
- Try out AI tools and new approaches that make analysis faster or more insightful.
- Keep learning from code reviews, feedback, and senior teammates, and share what you learn with the team.
A day in the life
Your morning starts with dashboard pipeline health checks and a look at new intake requests. Then you dig into your current project: learning the source data, asking what decision a metric will support, and confirming requirements with your stakeholder before you write code. In the afternoon, you might build or update a dataset, refactor part of a legacy pipeline with guidance from a senior engineer, or walk a stakeholder through a draft dashboard. You finish the day by documenting what you learned and submitting your code for review. You'll be expected to understand a problem before building, and to be open about what you're unsure of.
About the team
We're the PAX Data and Analytics team, a small group of BI Engineers and Data Engineers inside one of the world's largest and fastest-growing data center organizations. We started less than a year ago with one mandate: turn operational complexity into decision-ready clarity.
We do more than build dashboards. We build context that helps leaders act with confidence and helps operators catch problems before they become incidents. Our work covers the full data lifecycle: sourcing raw operational data, building reliable pipelines, and delivering self-service tools that hundreds of people use every day. Every pipeline we ship and every standard we define becomes the foundation for what comes next. We're young, we're scrappy, and we're building something that will outlast us. It's a great place to learn and grow your career.
BASIC QUALIFICATIONS
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
PREFERRED QUALIFICATIONS
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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.
COMPENSATION
- 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 - 82,300.00 - 144,000.00 USD annually
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Power Bi Developer
Target large enterprises over startups
Companies with established HR and legal teams are far more likely to have active H-1B sponsorship programs. Fortune 500 firms in finance, healthcare, and consulting hire Senior Power BI Developers regularly and have immigration counsel already in place.
Lead with your BI stack depth, not just Power BI
Employers sponsoring visas want candidates who reduce hiring risk. Demonstrating expertise across DAX, Power Query, Azure Synapse, and SQL shows you can own the full data pipeline, making the sponsorship investment easier to justify internally.
Pursue cap-exempt employers if lottery timing is a concern
Universities, nonprofit research institutions, and government-affiliated entities are exempt from the H-1B cap. Senior Power BI roles exist in these settings, and cap-exempt status means you can start within weeks of approval rather than waiting for October 1.
Request an H-1B transfer, not a new petition, when switching jobs
If you already hold H-1B status, a new employer can file a transfer petition and you can begin work upon filing, not approval. This removes lottery risk entirely and is the fastest path to changing roles without losing status.
Frame your degree as directly supporting the specialty occupation
USCIS requires a degree in a directly related field for H-1B approval. A degree in Computer Science, Information Systems, or Statistics maps cleanly to this role. If your degree is adjacent, gather employer documentation showing the degree-to-job connection.
Browse sponsorship-verified listings on Migrate Mate
Generic job boards mix sponsored and non-sponsored roles with no way to filter. Migrate Mate surfaces employers actively sponsoring visas for data and BI roles, so you can apply with confidence rather than asking awkwardly mid-process.
Frequently Asked Questions
Does a Senior Power BI Developer role qualify as a specialty occupation for H-1B purposes?
Yes, Senior Power BI Developer roles consistently qualify as specialty occupations under H-1B visa standards. USCIS looks for roles requiring at least a bachelor's degree in a specific field. This position typically requires a degree in Computer Science, Information Systems, or a related discipline, and USCIS has approved thousands of data and BI developer petitions across industries.
What degree do I need for H-1B sponsorship as a Power BI Developer?
A bachelor's degree or higher in Computer Science, Information Technology, Data Science, Statistics, or a closely related field is the standard requirement. If your degree is in a less directly related area, your employer's immigration attorney can supplement the petition with expert opinion letters and documentation showing the role requires specialized knowledge consistent with your educational background.
Which industries sponsor H-1B visas most often for Power BI and data roles?
Financial services, healthcare systems, management consulting, and large tech companies are the most active H-1B sponsors for Senior Power BI Developers. These industries generate significant reporting and analytics demand and have the legal infrastructure to manage visa sponsorship. Government contractors and insurance companies are also consistent sponsors, particularly for compliance-driven dashboarding and reporting work.
How competitive is H-1B approval for a Senior Power BI Developer compared to other tech roles?
Approval rates for data and BI developer roles are strong relative to more contested categories. The specialty occupation threshold is well-established, and senior-level roles with clearly defined degree requirements face fewer RFEs than generalist positions. The main variable is the annual lottery, which you can avoid entirely through cap-exempt employers or by transferring an existing H-1B from a previous employer.
Where can I find Senior Power BI Developer jobs that are open to visa sponsorship?
Migrate Mate is built specifically for this. It filters for employers actively sponsoring work visas, so you're not wasting applications on roles that will reject you at the offer stage. Senior Power BI Developer listings on Migrate Mate include sponsorship-relevant details, letting you prioritize roles where the employer has a documented history of H-1B filings for similar positions.
What is the prevailing wage requirement for sponsored Senior Power Bi Developer 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.