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.
See All Data Engineering Manager JobsOverview
Showing 5 of 646+ Data Engineering Manager jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 646+ Data Engineering Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineering Manager roles.
Get Access To All JobsINTRODUCTION
We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.
This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.
DESCRIPTION
You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.
Responsibilities
- Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.
- Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.
- Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.
- Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.
- Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Systems, or equivalent
- 8-12 years of experience in data engineering or software engineering
- 5+ years of engineering management experience
- Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices
- Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
PREFERRED QUALIFICATIONS
- Experience driving the implementation of data governance and quality standards
- Strong stakeholder management skills in Finance or enterprise functions
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $228,100 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.
This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.
DESCRIPTION
You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.
Responsibilities
- Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.
- Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.
- Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.
- Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.
- Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Systems, or equivalent
- 8-12 years of experience in data engineering or software engineering
- 5+ years of engineering management experience
- Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices
- Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
PREFERRED QUALIFICATIONS
- Experience driving the implementation of data governance and quality standards
- Strong stakeholder management skills in Finance or enterprise functions
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $228,100 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 646+ Data Engineering Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineering Manager roles.
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 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.
Data Engineering Manager jobs are hiring across the US. Find yours.
Find Data Engineering Manager JobsData Engineering Manager E-3 Visa: 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 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.
See which Data Engineering Manager employers are hiring and sponsoring visas right now.
Search Data Engineering Manager Jobs