E-3 Visa Data Engineer Jobs
Data Engineer roles in the U.S. qualify as E-3 specialty occupations, requiring a bachelor's degree in computer science, information systems, or a related field. Australian nationals can secure E-3 visa sponsorship without entering a lottery, making this one of the most direct paths to U.S. data engineering work.
Find E-3 Visa Data Engineer JobsOverview
Showing 5 of 1,175+ Data Engineer jobs
See all 1,175+ Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer roles.
Get Access To All JobsINTRODUCTION
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed.
Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area, Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.
Front’s Data team builds the analytics infrastructure that powers decision-making across the company — from product insights to GTM performance. We’re looking for a Staff Data Engineer to own critical parts of that platform end-to-end: designing scalable pipelines and data models, raising the bar on reliability and data quality, and enabling self-serve data access for teams across Front.
This is a high-impact role for someone who loves turning complex, messy inputs into trusted datasets, and who can partner closely with analysts, data scientists, and product stakeholders to deliver data systems that are fast, secure, and built to last. You’ll thrive here if you’re hands-on, pragmatic, and excited to set technical direction while still shipping.
ROLE AND RESPONSIBILITIES
- Architect data pipelines that provide fast, optimized, and robust end-to-end solutions for internal users of the analytics infrastructure
- Automate manual processes and create a platform in favor of self-service data consumption
- Own the quality of our analytics data and ensure the Data Team’s SLAs are met on a timely basis
- Design data schemas and fine-tune queries around large, complex data sets
- Interface with data scientists, analysts, and non-data stakeholders to understand their needs and promote best data practices
- Keep our data available and secure across multiple data centers and regions
- Implement a robust monitoring & logging framework that guarantees traceability and audibility
- Vet tools and technologies for the most viable solution for each problem at hand, and manage tools and data vendors involved
- Bring strong AI fluency to how you build and operate — using AI tools thoughtfully to accelerate development, improve quality, and unlock new approaches to data reliability and automation
BASIC QUALIFICATIONS
- BS/BA in Computer Science, Mathematics, or a relevant technical field (or equivalent practical experience)
- At least 5 years of experience as a Data Engineer, or in a role with deep ETL expertise
- Experience managing a Snowflake data warehouse
- Strong programming fundamentals, with an ability to write modular, maintainable code
- Advanced SQL and Python skills and strong comfort working with large datasets
- Working knowledge of at least one big data technology (HDFS, EMR, Redshift, Spark, Flink, or Presto)
- Experience with workflow management tools (preferably Airflow)
- A proactive, service-oriented mindset with a “can-do” approach and positive attitude
- Strong ability to manage multiple projects/tasks across multiple stakeholders
LOCATION
Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.
WHAT WE OFFER
- Competitive salary
- Equity (we are post-series D & backed by some of the best VCs in the US)
- Private health insurance, including plan options at no cost to employees
- Paid parental leave
- Flexible time off policy
- Flexibility to work from home Monday and Friday, unless posted as a fully remote role
- Mental health support with Workplace Options
- Family planning support with Maven
- $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities
- Wellness Days - Fronteers get an additional day off on months with no holidays
- Winter Break - Our offices are closed from Christmas to New Year's Day!
COMPENSATION RANGE
- Compensation Range: $237K - $270K
Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice.
INTRODUCTION
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed.
Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area, Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.
Front’s Data team builds the analytics infrastructure that powers decision-making across the company — from product insights to GTM performance. We’re looking for a Staff Data Engineer to own critical parts of that platform end-to-end: designing scalable pipelines and data models, raising the bar on reliability and data quality, and enabling self-serve data access for teams across Front.
This is a high-impact role for someone who loves turning complex, messy inputs into trusted datasets, and who can partner closely with analysts, data scientists, and product stakeholders to deliver data systems that are fast, secure, and built to last. You’ll thrive here if you’re hands-on, pragmatic, and excited to set technical direction while still shipping.
ROLE AND RESPONSIBILITIES
- Architect data pipelines that provide fast, optimized, and robust end-to-end solutions for internal users of the analytics infrastructure
- Automate manual processes and create a platform in favor of self-service data consumption
- Own the quality of our analytics data and ensure the Data Team’s SLAs are met on a timely basis
- Design data schemas and fine-tune queries around large, complex data sets
- Interface with data scientists, analysts, and non-data stakeholders to understand their needs and promote best data practices
- Keep our data available and secure across multiple data centers and regions
- Implement a robust monitoring & logging framework that guarantees traceability and audibility
- Vet tools and technologies for the most viable solution for each problem at hand, and manage tools and data vendors involved
- Bring strong AI fluency to how you build and operate — using AI tools thoughtfully to accelerate development, improve quality, and unlock new approaches to data reliability and automation
BASIC QUALIFICATIONS
- BS/BA in Computer Science, Mathematics, or a relevant technical field (or equivalent practical experience)
- At least 5 years of experience as a Data Engineer, or in a role with deep ETL expertise
- Experience managing a Snowflake data warehouse
- Strong programming fundamentals, with an ability to write modular, maintainable code
- Advanced SQL and Python skills and strong comfort working with large datasets
- Working knowledge of at least one big data technology (HDFS, EMR, Redshift, Spark, Flink, or Presto)
- Experience with workflow management tools (preferably Airflow)
- A proactive, service-oriented mindset with a “can-do” approach and positive attitude
- Strong ability to manage multiple projects/tasks across multiple stakeholders
LOCATION
Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.
WHAT WE OFFER
- Competitive salary
- Equity (we are post-series D & backed by some of the best VCs in the US)
- Private health insurance, including plan options at no cost to employees
- Paid parental leave
- Flexible time off policy
- Flexibility to work from home Monday and Friday, unless posted as a fully remote role
- Mental health support with Workplace Options
- Family planning support with Maven
- $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities
- Wellness Days - Fronteers get an additional day off on months with no holidays
- Winter Break - Our offices are closed from Christmas to New Year's Day!
COMPENSATION RANGE
- Compensation Range: $237K - $270K
Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice.
See all 1,175+ E-3 Visa Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Engineer
Verify your degree supports specialty occupation
Your Australian bachelor's degree must align with data engineering specifically, not just any technical field. A degree in computer science or information systems maps cleanly. A general business degree with self-taught SQL skills typically won't satisfy the DOL's specialty occupation standard for this role.
Target employers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data to identify companies that have certified LCAs for Data Engineer roles. Employers already familiar with the LCA process move faster and are less likely to stall over unfamiliar sponsorship steps.
Address the E-3 process before the offer stage
Raise E-3 visa eligibility with the hiring manager or recruiter before the offer letter stage, not after. Framing it as a two-to-three week employer LCA step with no lottery removes the two most common objections before they become blockers.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end to end. This removes the administrative burden from your employer and reduces the risk of certification delays caused by incomplete DOL filings.
Clarify contractor arrangements before filing
Data Engineers are frequently placed through staffing agencies or consulting firms. For the E-3, your sponsoring employer must be the entity controlling your day-to-day work. If a third-party client site is involved, the LCA employer relationship needs to be clearly defined before USCIS review.
Time your Australian credential evaluation strategically
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees, but individual consular officers can request clarification. Having a foreign credential evaluation ready before your consulate appointment prevents delays on a point that often surprises applicants.
E-3 Visa Data Engineer: Frequently Asked Questions
How do I find Data Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. The platform filters Data Engineer roles by employers who have active E-3 or LCA filing history, so you're not cold-applying to companies unfamiliar with Australian visa sponsorship. Standard job boards show open roles but don't surface sponsorship willingness, which wastes significant time at the application stage.
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 Engineer role qualify as a specialty occupation for the E-3?
Yes. Data Engineer is classified under SOC code 15-1242 (Database Architects) and related codes, and consistently requires at least a bachelor's degree in computer science, information systems, or a closely related field. The role meets the DOL's specialty occupation standard because the theoretical and practical application of a specific body of knowledge is a standard industry requirement, not an employer preference.
How does the E-3 compare to the H-1B for Data Engineer roles?
The E-3 has no annual cap and no lottery, so you can apply at any point in the year and receive a decision within weeks of your consulate interview. The H-1B visa has an 85,000-slot annual cap with a randomised lottery, meaning most applicants are rejected before any review of their qualifications. For Australian Data Engineers, the E-3 is categorically more reliable as a first-entry visa.
Can I switch Data Engineer employers after I'm on an E-3?
Yes, but each employer change requires a new LCA and a new E-3 visa stamp before you begin work with the new employer. There's no transfer process equivalent to the H-1B portability rule. If you're already in the U.S., timing your employer change to coincide with a planned trip to Australia is the most practical approach, since you'll need a consulate appointment either way.