Business Intelligence Engineer Visa Sponsorship Jobs in New York
New York is one of the top markets for business intelligence engineer roles, with major employers concentrated in Manhattan's financial district, Midtown tech offices, and growing hubs in Brooklyn. Companies in finance, media, retail, and healthcare regularly sponsor visas for qualified BI engineers. Firms like JPMorgan Chase, Citigroup, Bloomberg, and large consulting practices are among the most active sponsors.
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Shopbop and Zappos are looking for a customer-obsessed Business Intelligence Engineer to join the Customer Analytics organization. This role will own the data infrastructure and customer tables that power our customer strategy — designing and scaling the customer attribute store, defining data standards, and ensuring our teams have the reliable, well-governed data foundation they need to drive decisions.
You will be the connective tissue between our data science, customer insights, and marketing teams — architecting the data assets that enable segmentation, personalization, and measurement at scale. You will define the strategy for integrating third-party data sources with first-party customer data, partner directly with Data Engineering to build and maintain scalable pipelines, and work closely with Customer Insights Managers and Data Scientists to operationalize their work and quantify its impact.
The right candidate combines strong data engineering fundamentals with strategic thinking and business judgment. They take ownership of the full data lifecycle — from pipeline architecture and table design through to the dashboards and reporting that inform leadership decisions. They operate with a high degree of autonomy, proactively identify gaps in our data infrastructure, and influence the roadmap to close them. They should have a collaborative mindset that enables them to work effectively across Customer Insights, Data Science, Lifecycle Marketing, Finance, and Engineering. This position sits within the Customer Experience organization.
Key job responsibilities
- Own the customer tables and customer attribute store end-to-end, defining schema design, data quality standards, and governance that ensure completeness, accuracy, and accessibility across Shopbop and Zappos.
- Partner with Data Engineering to architect scalable data pipelines, define SLAs for freshness and reliability, and drive the technical roadmap for the customer data layer.
- Build and maintain dashboards and reporting tools that enable Customer Insights, Marketing, and Leadership to track customer KPIs, segment performance, and strategy effectiveness.
- Lead deep dives with Customer Insights Managers to segment customers, measure lifecycle and acquisition impact, and surface actionable trends.
- Own third-party data sources and tooling, ingestion cycles, compliance, and integrations connecting external data into our customer ecosystem.
- Define and execute the strategy for integrating third-party into our ecosystem.
- Partner with Data Science to operationalize models by designing feature tables, pipeline architecture, and reporting layers that bring predictive work into production.
- Drive measurement infrastructure by building foundations for holdout analysis, test/control reporting, and performance tracking.
- Develop reusable frameworks and self-service tools that reduce ad-hoc burden and scale the team's analytical capacity.
- Identify gaps in the customer data, influencing priorities across teams to improve analytical infrastructure.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- 3+ years of developing automated reporting experience
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Knowledge of data warehousing and data modeling
PREFERRED QUALIFICATIONS
- Experience with data pipeline and orchestration tools such as Airflow, dbt, or AWS Glue
- Experience integrating third-party data sources with first-party customer data
- Experience with customer segmentation frameworks and lifecycle analytics
- Experience with Python or R for data analysis and automation
- Understanding of data governance, data quality monitoring, and documentation best practices
- Experience within e-commerce or retail
- Experience with customer data platforms or customer attribute stores
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences
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
- Salary Range: $143,400.00 - $194,000.00 USD annually
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, NY, New York
DESCRIPTION
Shopbop and Zappos are looking for a customer-obsessed Business Intelligence Engineer to join the Customer Analytics organization. This role will own the data infrastructure and customer tables that power our customer strategy — designing and scaling the customer attribute store, defining data standards, and ensuring our teams have the reliable, well-governed data foundation they need to drive decisions.
You will be the connective tissue between our data science, customer insights, and marketing teams — architecting the data assets that enable segmentation, personalization, and measurement at scale. You will define the strategy for integrating third-party data sources with first-party customer data, partner directly with Data Engineering to build and maintain scalable pipelines, and work closely with Customer Insights Managers and Data Scientists to operationalize their work and quantify its impact.
The right candidate combines strong data engineering fundamentals with strategic thinking and business judgment. They take ownership of the full data lifecycle — from pipeline architecture and table design through to the dashboards and reporting that inform leadership decisions. They operate with a high degree of autonomy, proactively identify gaps in our data infrastructure, and influence the roadmap to close them. They should have a collaborative mindset that enables them to work effectively across Customer Insights, Data Science, Lifecycle Marketing, Finance, and Engineering. This position sits within the Customer Experience organization.
Key job responsibilities
- Own the customer tables and customer attribute store end-to-end, defining schema design, data quality standards, and governance that ensure completeness, accuracy, and accessibility across Shopbop and Zappos.
- Partner with Data Engineering to architect scalable data pipelines, define SLAs for freshness and reliability, and drive the technical roadmap for the customer data layer.
- Build and maintain dashboards and reporting tools that enable Customer Insights, Marketing, and Leadership to track customer KPIs, segment performance, and strategy effectiveness.
- Lead deep dives with Customer Insights Managers to segment customers, measure lifecycle and acquisition impact, and surface actionable trends.
- Own third-party data sources and tooling, ingestion cycles, compliance, and integrations connecting external data into our customer ecosystem.
- Define and execute the strategy for integrating third-party into our ecosystem.
- Partner with Data Science to operationalize models by designing feature tables, pipeline architecture, and reporting layers that bring predictive work into production.
- Drive measurement infrastructure by building foundations for holdout analysis, test/control reporting, and performance tracking.
- Develop reusable frameworks and self-service tools that reduce ad-hoc burden and scale the team's analytical capacity.
- Identify gaps in the customer data, influencing priorities across teams to improve analytical infrastructure.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- 3+ years of developing automated reporting experience
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Knowledge of data warehousing and data modeling
PREFERRED QUALIFICATIONS
- Experience with data pipeline and orchestration tools such as Airflow, dbt, or AWS Glue
- Experience integrating third-party data sources with first-party customer data
- Experience with customer segmentation frameworks and lifecycle analytics
- Experience with Python or R for data analysis and automation
- Understanding of data governance, data quality monitoring, and documentation best practices
- Experience within e-commerce or retail
- Experience with customer data platforms or customer attribute stores
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences
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
- Salary Range: $143,400.00 - $194,000.00 USD annually
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, NY, New York
Business Intelligence Engineer Job Roles in New York
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Search Business Intelligence Engineer Jobs in New YorkBusiness Intelligence Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for business intelligence engineers in New York?
Financial institutions and technology companies are the most active visa sponsors for business intelligence engineers in New York. JPMorgan Chase, Citigroup, Bloomberg, Goldman Sachs, and Deloitte have consistent H-1B visa sponsorship histories for BI-related roles. Large media and retail companies including NBCUniversal, Verizon, and Estee Lauder also file regularly for data and analytics positions requiring BI engineering expertise.
Which visa types are most common for business intelligence engineer roles in New York?
The H-1B is the most common visa for business intelligence engineers in New York, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. Candidates with Canadian or Mexican citizenship may qualify for a TN visa. Those with extraordinary ability in data analytics may pursue the O-1A, though that standard is significantly higher.
Which cities in New York have the most business intelligence engineer sponsorship jobs?
New York City accounts for the overwhelming majority of business intelligence engineer sponsorship positions in the state. Manhattan is the primary hub, driven by finance, media, and enterprise technology employers. Brooklyn's tech sector, particularly around DUMBO and Downtown Brooklyn, has grown steadily. Albany has a smaller but active market tied to state government and healthcare analytics. Outside the city, Buffalo and Rochester have limited but present BI engineering demand.
How to find business intelligence engineer visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify business intelligence engineer roles in New York where employers are open to sponsoring. Because BI engineering spans finance, healthcare, retail, and media in New York, using a focused platform matters. Migrate Mate surfaces roles from companies with documented sponsorship histories, saving time compared to manually screening general job listings.
Are there any New York-specific considerations for business intelligence engineers seeking visa sponsorship?
New York's high concentration of financial services firms means BI engineers often need familiarity with compliance-driven data environments, which can strengthen a sponsorship case by demonstrating specialized expertise. The state's prevailing wage requirements for H-1B positions are among the highest in the country given New York City's cost of living, so employers factor this into sponsorship decisions. Cornell Tech and Columbia University also supply a strong local pipeline of BI talent, increasing competition for roles.
What is the prevailing wage for sponsored business intelligence engineer jobs in New York?
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.