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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Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming across thousands of devices, from award-winning Amazon MGM Studios originals to live sports, channels, and TVOD. Behind the content our customers love is a team shaping what gets released, when, and for whom. The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions, audience growth, and marketing optimizations.
We’re looking for a Data Engineering Manager to lead the Data Engineering function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s north star (long-term strategy, priority audiences, and growth objectives) and delivers the customer intelligence, analytics, and AI-powered solutions that enable the organization to achieve them.
You’ll lead a team of senior data engineers and own the data infrastructure, pipelines, and platform capabilities that power our analytics, AI tools, and business-critical applications. Your team’s work directly enables content programming, marketing optimization, and audience strategy for one of the world’s largest streaming services. This requires you to balance competing priorities, manage complex stakeholder relationships, and work shoulder-to-shoulder with product managers, data scientists, and analytics to deliver scalable data solutions at pace.
Key job responsibilities
- Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities.
- Own the data platform strategy and roadmap for the team’s portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders.
- Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines.
- Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation.
- Drive data engineering for business-critical applications, including dashboards and other internal self-developed software products.
- Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team’s data assets.
- Partner cross-functionally with product managers, data scientists, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions.
- Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership.
- Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team’s operational posture.
About the team
The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Business Planning, Product-Tech, Analytics, Data Science, Data Engineering, and Research. Our stakeholders span content programming, content acquisition, marketing, and PV senior leadership.
Our 2026 roadmap is anchored in two investment themes (AI Tooling & Automation and Audience Infrastructure & Insights) spanning content optimization, experimentation, marketing, customer journey, marketplace, and competitive intelligence.
Our products serve content programmers, marketing strategists, and senior leadership. We build tools that help PV decide what to release, when to release it, who to target, and how to measure success at scale.
BASIC QUALIFICATIONS
- 7+ years of data engineering experience
- Experience managing a data or BI team
- 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 3+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience communicating to senior management and customers verbally and in writing
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Knowledge of digital creative production, ad serving, cross-channel attribution, and media analytics
- Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Culver City - 170,000.00 - 230,000.00 USD annually
USA, WA, SEATTLE - 170,000.00 - 230,000.00 USD annually
DESCRIPTION
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming across thousands of devices, from award-winning Amazon MGM Studios originals to live sports, channels, and TVOD. Behind the content our customers love is a team shaping what gets released, when, and for whom. The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions, audience growth, and marketing optimizations.
We’re looking for a Data Engineering Manager to lead the Data Engineering function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s north star (long-term strategy, priority audiences, and growth objectives) and delivers the customer intelligence, analytics, and AI-powered solutions that enable the organization to achieve them.
You’ll lead a team of senior data engineers and own the data infrastructure, pipelines, and platform capabilities that power our analytics, AI tools, and business-critical applications. Your team’s work directly enables content programming, marketing optimization, and audience strategy for one of the world’s largest streaming services. This requires you to balance competing priorities, manage complex stakeholder relationships, and work shoulder-to-shoulder with product managers, data scientists, and analytics to deliver scalable data solutions at pace.
Key job responsibilities
- Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities.
- Own the data platform strategy and roadmap for the team’s portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders.
- Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines.
- Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation.
- Drive data engineering for business-critical applications, including dashboards and other internal self-developed software products.
- Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team’s data assets.
- Partner cross-functionally with product managers, data scientists, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions.
- Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership.
- Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team’s operational posture.
About the team
The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Business Planning, Product-Tech, Analytics, Data Science, Data Engineering, and Research. Our stakeholders span content programming, content acquisition, marketing, and PV senior leadership.
Our 2026 roadmap is anchored in two investment themes (AI Tooling & Automation and Audience Infrastructure & Insights) spanning content optimization, experimentation, marketing, customer journey, marketplace, and competitive intelligence.
Our products serve content programmers, marketing strategists, and senior leadership. We build tools that help PV decide what to release, when to release it, who to target, and how to measure success at scale.
BASIC QUALIFICATIONS
- 7+ years of data engineering experience
- Experience managing a data or BI team
- 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 3+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience communicating to senior management and customers verbally and in writing
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Knowledge of digital creative production, ad serving, cross-channel attribution, and media analytics
- Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Culver City - 170,000.00 - 230,000.00 USD annually
USA, WA, SEATTLE - 170,000.00 - 230,000.00 USD annually
See all 655+ 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.