E-3 Visa Data Engineering Manager Jobs
Data Engineering Manager roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree or higher. Australian nationals can secure two-year, indefinitely renewable status with no lottery and no annual cap, making this one of the most accessible paths to U.S. data leadership.
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At Amazon, data is critical to everything we do, from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel, helping us to understand customer needs, onboard new sellers and selection, and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure, store, analyze, and transform this data at unparalleled scale. BDT owns, develops, and operates Andes, one of the largest data lakes in the world, storing 3+ exabytes of data, read/written to by 100k+ data pipelines, with >60k monthly active users. To do this, we need extraordinary individuals to build the next generation of data analytics, machine learning, and AI solutions for thousands of scientists, engineers, and analysts who rely upon us to get their jobs done.
The BDT-AI4ME organization works to bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
As a Principal Technical Program Manager in the BDT-AI4ME organization, you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazon’s business teams work with their data teams, and you seek to reduce friction and error-proneness of those interactions using AI. You drive lightweight mechanisms that bring visibility to leadership, share best practices, and provide better communication and collaboration across teams. This role works closely with Tech Directors, VPs and Principal Engineers to identify patterns, new trends, goals and areas for cross-org collaboration. This role does not support just one organization but rather focuses on best practices that can be applicable to multiple organizations across Amazon.
Key job responsibilities
You focus on the needs of business users as they navigate data from question to insight. You formulate goals and plans for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement, process optimization, role guidelines, and org design.
As part of a broader team, you collaborate with other technical program managers to ensure that work in your space aligns with work and plans of other teams across BDT and other organizations. You establish mechanisms for inspection and awareness of progress across cross cutting initiatives.
Data drives your “flywheel”. You analyze data to glean insights that drive experimentation. You leverage data such as service telemetry, user feedback, and industry trends to surface opportunities for improvement. You take what’s proven and partner with Amazon organizations to apply and scale it. You define, implement, and monitor metrics that track your progress.
You partner with Amazon’s business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You give feedback on narratives, contribute to strategy (e.g., OP1 planning), set goals, discuss weekly business metrics, and more.
You partner with Amazon’s PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You partner with engineering, human resources, legal, documentation, solution architecture, privacy, finance, and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner, you hold yourself and partners accountable for the highest quality user outcomes.
BASIC QUALIFICATIONS
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience driving complex programs using judgment and data, including collaborating with stakeholders and internal partners
- Experience improving processes for program management and for collaboration with partner teams
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating, influencing, planning, and executing across teams
PREFERRED QUALIFICATIONS
- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases, data lakes, storage, and distributed systems, including architectural and operational aspects
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
COMPENSATION
- Salary Range: 177,000.00 - 239,400.00 USD annually
DESCRIPTION
At Amazon, data is critical to everything we do, from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel, helping us to understand customer needs, onboard new sellers and selection, and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure, store, analyze, and transform this data at unparalleled scale. BDT owns, develops, and operates Andes, one of the largest data lakes in the world, storing 3+ exabytes of data, read/written to by 100k+ data pipelines, with >60k monthly active users. To do this, we need extraordinary individuals to build the next generation of data analytics, machine learning, and AI solutions for thousands of scientists, engineers, and analysts who rely upon us to get their jobs done.
The BDT-AI4ME organization works to bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
As a Principal Technical Program Manager in the BDT-AI4ME organization, you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazon’s business teams work with their data teams, and you seek to reduce friction and error-proneness of those interactions using AI. You drive lightweight mechanisms that bring visibility to leadership, share best practices, and provide better communication and collaboration across teams. This role works closely with Tech Directors, VPs and Principal Engineers to identify patterns, new trends, goals and areas for cross-org collaboration. This role does not support just one organization but rather focuses on best practices that can be applicable to multiple organizations across Amazon.
Key job responsibilities
You focus on the needs of business users as they navigate data from question to insight. You formulate goals and plans for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement, process optimization, role guidelines, and org design.
As part of a broader team, you collaborate with other technical program managers to ensure that work in your space aligns with work and plans of other teams across BDT and other organizations. You establish mechanisms for inspection and awareness of progress across cross cutting initiatives.
Data drives your “flywheel”. You analyze data to glean insights that drive experimentation. You leverage data such as service telemetry, user feedback, and industry trends to surface opportunities for improvement. You take what’s proven and partner with Amazon organizations to apply and scale it. You define, implement, and monitor metrics that track your progress.
You partner with Amazon’s business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You give feedback on narratives, contribute to strategy (e.g., OP1 planning), set goals, discuss weekly business metrics, and more.
You partner with Amazon’s PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You partner with engineering, human resources, legal, documentation, solution architecture, privacy, finance, and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner, you hold yourself and partners accountable for the highest quality user outcomes.
BASIC QUALIFICATIONS
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience driving complex programs using judgment and data, including collaborating with stakeholders and internal partners
- Experience improving processes for program management and for collaboration with partner teams
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating, influencing, planning, and executing across teams
PREFERRED QUALIFICATIONS
- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases, data lakes, storage, and distributed systems, including architectural and operational aspects
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
COMPENSATION
- Salary Range: 177,000.00 - 239,400.00 USD annually
See all 167+ E-3 Visa Data Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Engineering Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Engineering Manager
Translate your credentials before applying
Australian three-year bachelor's degrees are accepted for E-3 visa purposes, but your employer's HR team may not know that. Have your degree evaluated by a NACES-approved credential assessment service before submitting applications to remove any hesitation upfront.
Target employers with active LCA filing history
Data Engineering Manager roles appear under SOC codes 15-1299 and related data architecture classifications in DOL's LCA disclosure data. Filtering for employers who have filed LCAs in these codes tells you who has already navigated the process for your exact role type.
Address the specialty occupation question directly
Some hiring managers conflate Data Engineering Manager with a general IT management role and assume a degree in any field will suffice. Clarify early that the E-3 requires your degree field to align with the job duties, which is straightforward when the role centers on data architecture, pipeline design, or engineering leadership.
Use Migrate Mate's E-3 filing service for offer-to-visa execution
Once you have an offer, Migrate Mate's E-3 filing service handles the LCA submission with DOL, prepares your visa documentation, and gets you ready for your consulate appointment in Sydney, Melbourne, or Perth without you managing each step separately.
Time your consulate appointment around LCA certification
Your employer can't submit a valid E-3 application packet until DOL certifies the LCA, which typically takes seven business days. Build that window into your start date negotiation so your consulate appointment doesn't get scheduled before your documents are ready.
Prepare a specialty occupation brief for skeptical employers
If a U.S. employer has never sponsored an E-3 before, they may worry about legal complexity. A one-page summary showing that E-3 requires no lottery, no quota risk, and standard DOL prevailing wage compliance can move a hesitant hiring manager toward a formal offer.
E-3 Visa Data Engineering Manager: Frequently Asked Questions
How do I find Data Engineering Manager jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Data Engineering Manager roles where employers are open to E-3 sponsorship. Unlike general job boards, it filters specifically for Australian nationals and surfaces companies with relevant visa filing history. From there, you can connect directly with employers who already understand the E-3 process and won't need extensive education on the sponsorship requirements.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Engineering Manager role qualify as a specialty occupation for the E-3?
Yes. Data Engineering Manager positions require a bachelor's degree or higher in computer science, information systems, data engineering, or a closely related field, which satisfies the E-3 specialty occupation standard. The key is that your degree field must align with the core technical duties of the role. A general business or unrelated STEM degree may require additional documentation to establish that connection.
How does the E-3 compare to the H-1B for Data Engineering Manager roles?
For Australian nationals, the E-3 is substantially more practical. The H-1B visa is subject to an annual lottery with roughly a 25% selection rate, a six-month wait until October 1 activation, and a 65,000 cap. The E-3 has a 10,500 annual allocation that has never been exhausted, no lottery, and allows you to apply any time of year once you have a job offer and a certified LCA from DOL.
Can I manage direct reports and lead a team on an E-3 visa?
Yes. The E-3 places no restrictions on your seniority level, team size, or managerial responsibilities. You can hire, manage, and lead engineering teams in the same way any permanent employee would. The visa is tied to your role qualifying as a specialty occupation and your employer maintaining your prevailing wage compliance with DOL, not to the scope of your management duties.