E-3 Visa Finance Jobs
Finance roles in the U.S., from financial analyst to investment banking associate, qualify for E-3 visa sponsorship when the position requires a bachelor's degree in a related field. The E-3 has no lottery and no annual cap, so Australian finance professionals can move quickly once they have an offer.
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Get Access To All JobsINTRODUCTION
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
ROLE AND RESPONSIBILITIES
As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data into a reliable and trustworthy source of truth for the Finance organization and beyond. You will be the primary liaison between the Finance and the Data Engineering teams. You will use your domain knowledge of finance to understand their data requirements, translate them into technical specifications, and then build the necessary data infrastructure. Your work will directly impact financial planning, forecasting, and strategic decision-making across the company.
You Are
- A Data Expert: You have a deep understanding of data warehousing, ETL/ELT principles, and data modeling best practices. You can design and implement robust and scalable data pipelines.
- A Problem-Solver: You are passionate about using data to solve complex business problems. You can break down ambiguous requirements into clear, actionable data engineering tasks.
- Collaborative: You enjoy working with diverse teams and can effectively communicate complex technical concepts to both technical and non-technical stakeholders.
- Detail-Oriented: You have a high bar for data quality and integrity. You take pride in building accurate and reliable data products and you are comfortable owning full quality from end to end.
- Curious and AI-forward: You are excited by the potential of LLMs, prompt engineering, and the rapidly changing world of AI tooling. You go beyond just using tools like Claude/Claude Code or Cursor—you've experimented with them and are keen to build and integrate entire systems around them.
You Will
- Design, develop, and maintain robust data pipelines using Python and Apache Airflow to process large volumes of data from various sources (e.g., internal databases, third-party APIs, and external systems).
- Be the subject matter expert on our Redshift data warehouse, optimizing queries and tables, and ensuring data integrity.
- Build and maintain data models that provide a single source of truth for key business metrics and KPIs.
- Co-develop and implement data quality checks and monitoring with finance business process owners to ensure the accuracy and reliability of our data.
- Document data pipelines, data models, and business logic to ensure maintainability and transparency.
- Collaborate with Finance stakeholders to understand their data needs and translate them into scalable data solutions.
- Partner with Finance and Data teams to create the AI Business Context layer for financial applications, converting accounting principles, metric definitions, and business logic into structured, AI-interpretable formats.
- Build tools that provide natural language access to financial data, automated anomaly detection and AI-assisted reporting, enabling Finance stakeholders to independently discover insights.
BASIC QUALIFICATIONS
- A Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 4+ years of experience in a data-focused role, with a strong emphasis on data engineering, business intelligence, or a similar analytics function.
- Proven experience in designing, building, and maintaining production-level data pipelines.
- Demonstrable experience working directly with finance or business operations teams to deliver data solutions.
- Expertise in SQL and experience with a modern data warehouse, preferably Redshift.
- Strong programming skills in Python.
- An interest in learning core financial modeling concepts to understand data use-cases.
COMPENSATION
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
- Annual Salary Range: $185,860—$221,380 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
INTRODUCTION
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
ROLE AND RESPONSIBILITIES
As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data into a reliable and trustworthy source of truth for the Finance organization and beyond. You will be the primary liaison between the Finance and the Data Engineering teams. You will use your domain knowledge of finance to understand their data requirements, translate them into technical specifications, and then build the necessary data infrastructure. Your work will directly impact financial planning, forecasting, and strategic decision-making across the company.
You Are
- A Data Expert: You have a deep understanding of data warehousing, ETL/ELT principles, and data modeling best practices. You can design and implement robust and scalable data pipelines.
- A Problem-Solver: You are passionate about using data to solve complex business problems. You can break down ambiguous requirements into clear, actionable data engineering tasks.
- Collaborative: You enjoy working with diverse teams and can effectively communicate complex technical concepts to both technical and non-technical stakeholders.
- Detail-Oriented: You have a high bar for data quality and integrity. You take pride in building accurate and reliable data products and you are comfortable owning full quality from end to end.
- Curious and AI-forward: You are excited by the potential of LLMs, prompt engineering, and the rapidly changing world of AI tooling. You go beyond just using tools like Claude/Claude Code or Cursor—you've experimented with them and are keen to build and integrate entire systems around them.
You Will
- Design, develop, and maintain robust data pipelines using Python and Apache Airflow to process large volumes of data from various sources (e.g., internal databases, third-party APIs, and external systems).
- Be the subject matter expert on our Redshift data warehouse, optimizing queries and tables, and ensuring data integrity.
- Build and maintain data models that provide a single source of truth for key business metrics and KPIs.
- Co-develop and implement data quality checks and monitoring with finance business process owners to ensure the accuracy and reliability of our data.
- Document data pipelines, data models, and business logic to ensure maintainability and transparency.
- Collaborate with Finance stakeholders to understand their data needs and translate them into scalable data solutions.
- Partner with Finance and Data teams to create the AI Business Context layer for financial applications, converting accounting principles, metric definitions, and business logic into structured, AI-interpretable formats.
- Build tools that provide natural language access to financial data, automated anomaly detection and AI-assisted reporting, enabling Finance stakeholders to independently discover insights.
BASIC QUALIFICATIONS
- A Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 4+ years of experience in a data-focused role, with a strong emphasis on data engineering, business intelligence, or a similar analytics function.
- Proven experience in designing, building, and maintaining production-level data pipelines.
- Demonstrable experience working directly with finance or business operations teams to deliver data solutions.
- Expertise in SQL and experience with a modern data warehouse, preferably Redshift.
- Strong programming skills in Python.
- An interest in learning core financial modeling concepts to understand data use-cases.
COMPENSATION
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
- Annual Salary Range: $185,860—$221,380 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
See all 6,007+ E-3 Visa Finance Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Finance
Match your degree to the role
U.S. consular officers assess whether your specific degree field supports the job title. A finance or accounting degree strengthens an analyst application; a general business degree may need supporting documentation showing a direct connection to the specialty occupation.
Target firms with LCA filing history
Search DOL's OFLC disclosure data to identify finance employers that have filed Labor Condition Applications for roles like financial analyst, portfolio manager, or compliance officer. Prior LCA filings signal that the firm already understands E-3 visa sponsorship obligations.
Clarify sponsorship before the offer stage
Many finance employers conflate E-3 and H-1B visa requirements. Raise sponsorship early in the interview process and clarify that the E-3 requires no lottery and imposes minimal cost on the employer, which removes the most common objection before it becomes a barrier.
Use Migrate Mate's E-3 filing service for compliance
Once you have an offer, the LCA and visa paperwork must be sequenced correctly. Use Migrate Mate's E-3 filing service to handle the full process from LCA certification through consulate preparation, so filing errors don't delay your start date.
Prepare for specialty occupation scrutiny
Finance roles at smaller firms or in generalist positions can attract consular questions about whether the job genuinely requires a bachelor's degree in a specific field. Bring a detailed job duties letter from your employer and your official academic transcripts to the interview.
Time your application around reporting cycles
Finance hiring often accelerates in Q4 and early Q1 as annual budgets are finalized. Targeting applications during these windows means hiring managers have headcount approved and can move quickly through the LCA certification and offer process.
E-3 Visa Finance: Frequently Asked Questions
How do I find Finance jobs in the U.S. that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces finance roles at U.S. employers with E-3 sponsorship history, so you're not cold-applying to companies that have never sponsored an Australian before. Filter by role type and location to find positions where the employer already understands the process.
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.
Do Finance roles qualify as specialty occupations for the E-3 visa?
Most professional finance roles qualify, including financial analyst, investment analyst, portfolio manager, risk analyst, and compliance officer, because they typically require a bachelor's degree in finance, accounting, economics, or a related field. Generalist roles where any degree is acceptable can be harder to support. The job duties letter your employer provides is what a consular officer scrutinizes, so the position description needs to reflect that a specific degree field is required.
How does the E-3 visa compare to the H-1B for Finance roles?
The E-3 has no lottery, no annual cap, and a significantly lighter employer filing burden than the H-1B. For finance employers, that means no lottery gamble in April, no six-month wait for an October start date, and lower compliance overhead. You can apply and start work within weeks of a certified LCA, which is why many Australian finance professionals secure U.S. roles that H-1B candidates can't count on.
Can I change Finance employers once I'm in the U.S. on an E-3?
Yes, but each new employer must file a new LCA with the DOL and you'll need a new E-3 visa stamp if you travel internationally after changing jobs. You can begin working for the new employer once the LCA is certified and you have a new I-94 admission in E-3 status, but you can't use your previous employer's LCA. Some finance professionals time job changes around planned international travel to handle the consulate visit efficiently.