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.
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Get Access To All JobsAbout Rippling
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
About The Team
The Revenue Operations team is dedicated to aligning a company’s go-to-market (GTM) functions across Marketing, Sales, Customer Success, and related operations to power growth and optimize the revenue engine. The core remit of RevOps is to drive predictable and efficient growth by optimizing processes, data, systems, and insights that power the end-to-end customer lifecycle. The team partners very closely with the Sales, AI/ML, and Data Engineering teams to build solutions that amplify the effectiveness and efficiency of the Rippling Sales org – from recommendation models and AI-driven enrichment pipelines to proprietary data funnels. The broader team works on a modern Growth Services infrastructure built on FastAPI, Kubernetes, Databricks, Kafka, Snowflake, PostgreSQL, and OpenAI APIs, enabling rapid experimentation and scalable delivery of AI-powered systems.
About The Role
We are looking to bring on a talented GTM minded Data Engineer to join the team. The ideal candidate wants to work in an agile environment close to the business and is not tied down to one specific product, but rather is a catalyst of innovation serving various business needs and pains. You will design and implement backend services, AI integrations, and data pipelines that power Rippling’s sales automation stack – including account/lead enrichment, recommendation engines, AI-powered workflows in CRM, and multi-LLM orchestration frameworks. You’ll work closely with AI/ML engineers, data scientists, and sales partners to bring production-grade AI systems to life, while maintaining reliability, performance, and developer velocity.
What You’ll Do
- Design and implement scalable backend systems that power AI/ML-driven recommendation, ranking, and personalization workflows.
- Build and maintain multi-LLM applications using OpenAI, Claude, and custom Databricks models, integrating them into real-time workflows.
- Develop and optimize data pipelines for model training, enrichment, and scoring using Databricks, Snowflake, and Kafka.
- Collaborate on AI/ML pipeline development, training and deploying models such as XGBoost, classification systems, and matrix factorization-based recommenders.
- Design and maintain scalable data pipelines that unify data across CRM, product systems, marketing platforms, billing systems, and internal databases.
- Build internal tools and APIs to support feature generation and GTM evaluation frameworks for AI models.
- Partner with Growth Engineering and GTM stakeholders to translate growth initiatives into scalable AI and data systems.
Tech Stack You’ll Work With
- Backend & APIs: Python, FastAPI, SQLAlchemy, Pydantic, PostgreSQL, Redis
- Frontend (if applicable): Next.js 14, React, TypeScript, Tailwind CSS, Radix UI
- Data & ML Infrastructure: Databricks, Delta Live Tables, Snowflake, Polars, PyArrow, Kafka, Debezium
- AI/ML Systems: OpenAI, Claude, LangChain, XGBoost, matrix factorization, recommendation systems
- Observability: Braintrust, LangSmith, DataDog, custom evaluation metrics
- Infrastructure: Docker, Kubernetes, AWS, automated CI/CD pipelines
Qualifications
- 3+ years of professional software engineering experience (preferably in backend, data, or AI-focused roles).
- Strong Python development and system design skills.
- Experience building production-grade services or data-intensive applications.
- Familiarity with AI/ML systems, including model training, inference APIs, or recommendation engines.
- Experience working with data platforms such as Databricks, Snowflake, or Kafka.
- Experience working with GTM teams (sales/marketing/RevOps/Sales Ops).
- Excellent communication skills and ability to collaborate cross-functionally in a fast-paced environment.
What We Offer
- Competitive salary, significant equity, and comprehensive benefits.
- Opportunity to work on cutting-edge AI/ML and data infrastructure.
- Direct hands-on exposure to high-growth GTM businesses.
- High ownership and autonomy in a fast-growing team.
- Collaborative environment focused on technical excellence and real business impact.
Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com.
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is: 129,000 - 215,000 USD per year (US Tier 1)
About Rippling
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
About The Team
The Revenue Operations team is dedicated to aligning a company’s go-to-market (GTM) functions across Marketing, Sales, Customer Success, and related operations to power growth and optimize the revenue engine. The core remit of RevOps is to drive predictable and efficient growth by optimizing processes, data, systems, and insights that power the end-to-end customer lifecycle. The team partners very closely with the Sales, AI/ML, and Data Engineering teams to build solutions that amplify the effectiveness and efficiency of the Rippling Sales org – from recommendation models and AI-driven enrichment pipelines to proprietary data funnels. The broader team works on a modern Growth Services infrastructure built on FastAPI, Kubernetes, Databricks, Kafka, Snowflake, PostgreSQL, and OpenAI APIs, enabling rapid experimentation and scalable delivery of AI-powered systems.
About The Role
We are looking to bring on a talented GTM minded Data Engineer to join the team. The ideal candidate wants to work in an agile environment close to the business and is not tied down to one specific product, but rather is a catalyst of innovation serving various business needs and pains. You will design and implement backend services, AI integrations, and data pipelines that power Rippling’s sales automation stack – including account/lead enrichment, recommendation engines, AI-powered workflows in CRM, and multi-LLM orchestration frameworks. You’ll work closely with AI/ML engineers, data scientists, and sales partners to bring production-grade AI systems to life, while maintaining reliability, performance, and developer velocity.
What You’ll Do
- Design and implement scalable backend systems that power AI/ML-driven recommendation, ranking, and personalization workflows.
- Build and maintain multi-LLM applications using OpenAI, Claude, and custom Databricks models, integrating them into real-time workflows.
- Develop and optimize data pipelines for model training, enrichment, and scoring using Databricks, Snowflake, and Kafka.
- Collaborate on AI/ML pipeline development, training and deploying models such as XGBoost, classification systems, and matrix factorization-based recommenders.
- Design and maintain scalable data pipelines that unify data across CRM, product systems, marketing platforms, billing systems, and internal databases.
- Build internal tools and APIs to support feature generation and GTM evaluation frameworks for AI models.
- Partner with Growth Engineering and GTM stakeholders to translate growth initiatives into scalable AI and data systems.
Tech Stack You’ll Work With
- Backend & APIs: Python, FastAPI, SQLAlchemy, Pydantic, PostgreSQL, Redis
- Frontend (if applicable): Next.js 14, React, TypeScript, Tailwind CSS, Radix UI
- Data & ML Infrastructure: Databricks, Delta Live Tables, Snowflake, Polars, PyArrow, Kafka, Debezium
- AI/ML Systems: OpenAI, Claude, LangChain, XGBoost, matrix factorization, recommendation systems
- Observability: Braintrust, LangSmith, DataDog, custom evaluation metrics
- Infrastructure: Docker, Kubernetes, AWS, automated CI/CD pipelines
Qualifications
- 3+ years of professional software engineering experience (preferably in backend, data, or AI-focused roles).
- Strong Python development and system design skills.
- Experience building production-grade services or data-intensive applications.
- Familiarity with AI/ML systems, including model training, inference APIs, or recommendation engines.
- Experience working with data platforms such as Databricks, Snowflake, or Kafka.
- Experience working with GTM teams (sales/marketing/RevOps/Sales Ops).
- Excellent communication skills and ability to collaborate cross-functionally in a fast-paced environment.
What We Offer
- Competitive salary, significant equity, and comprehensive benefits.
- Opportunity to work on cutting-edge AI/ML and data infrastructure.
- Direct hands-on exposure to high-growth GTM businesses.
- High ownership and autonomy in a fast-growing team.
- Collaborative environment focused on technical excellence and real business impact.
Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com.
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is: 129,000 - 215,000 USD per year (US Tier 1)
See all 6,424+ 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.