E-3 Visa Senior Staff Data Engineer Jobs
Senior Staff Data Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, data engineering, or a related field. Australian citizens can secure two-year, indefinitely renewable E-3 status without entering an H-1B lottery, making this one of the most direct paths to U.S.-based data engineering work.
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ABOUT PINTEREST:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by investing in three core areas:
-
Data Warehouse: Building and managing the foundational data warehouses that enable key analyses across both our core engagement and monetization products.
-
Analytical Velocity: Creating powerful analytical tools that empower internal data users to leverage our vast data assets and capable infrastructure effectively.
-
Data Governance: Defining and implementing the data governance policies and tools necessary to ensure the responsible, efficient and compliant storage and handling of all data.
ROLE AND RESPONSIBILITIES:
We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across these three pillars. In this role, you will be instrumental in architecting and driving solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of AI analytics products. If you are passionate about building world-class data ecosystems at massive scale, we invite you to lead our efforts.
What you’ll do:
-
Spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage.
-
Set the strategic direction for world-class data analytics tools, including experimentation platforms, ad hoc analysis systems, data visualization, data pipeline authoring, and AI-assisted data analytics capabilities.
-
Define, design, and drive the adoption of comprehensive data governance policies and tooling to ensure data quality, promote responsible data handling, and maximize efficiency.
-
Lead ambiguous, highly challenging, and cross-functional initiatives across the data ecosystem, expertly managing trade-offs among unique requirements and constraints (e.g., usability, efficiency, and compliance) to deliver a cohesive user experience.
-
Drive measurable adoption and significant business impact across the entire product portfolio through platform and tooling initiatives.
-
Mentor and elevate the technical bar for engineers, providing leadership on complex technical design, execution strategies, and critical trade-off decisions.
-
Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs, drive alignment and drive progress.
BASIC QUALIFICATIONS:
-
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
-
12+ years of relevant industry experience with large scale data warehouses, data tools and platforms.
-
5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc.
-
Ability to work with cross-functional partners across multiple organizations.
-
Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc.
-
Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity.
RELOCATION STATEMENT:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
IN-OFFICE REQUIREMENT STATEMENT:
We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.
LI-REMOTE
LI-AH2
COMPENSATION:
- Salary Range: $208,592—$429,454 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
US based applicants only

ABOUT PINTEREST:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by investing in three core areas:
-
Data Warehouse: Building and managing the foundational data warehouses that enable key analyses across both our core engagement and monetization products.
-
Analytical Velocity: Creating powerful analytical tools that empower internal data users to leverage our vast data assets and capable infrastructure effectively.
-
Data Governance: Defining and implementing the data governance policies and tools necessary to ensure the responsible, efficient and compliant storage and handling of all data.
ROLE AND RESPONSIBILITIES:
We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across these three pillars. In this role, you will be instrumental in architecting and driving solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of AI analytics products. If you are passionate about building world-class data ecosystems at massive scale, we invite you to lead our efforts.
What you’ll do:
-
Spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage.
-
Set the strategic direction for world-class data analytics tools, including experimentation platforms, ad hoc analysis systems, data visualization, data pipeline authoring, and AI-assisted data analytics capabilities.
-
Define, design, and drive the adoption of comprehensive data governance policies and tooling to ensure data quality, promote responsible data handling, and maximize efficiency.
-
Lead ambiguous, highly challenging, and cross-functional initiatives across the data ecosystem, expertly managing trade-offs among unique requirements and constraints (e.g., usability, efficiency, and compliance) to deliver a cohesive user experience.
-
Drive measurable adoption and significant business impact across the entire product portfolio through platform and tooling initiatives.
-
Mentor and elevate the technical bar for engineers, providing leadership on complex technical design, execution strategies, and critical trade-off decisions.
-
Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs, drive alignment and drive progress.
BASIC QUALIFICATIONS:
-
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
-
12+ years of relevant industry experience with large scale data warehouses, data tools and platforms.
-
5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc.
-
Ability to work with cross-functional partners across multiple organizations.
-
Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc.
-
Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity.
RELOCATION STATEMENT:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
IN-OFFICE REQUIREMENT STATEMENT:
We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.
LI-REMOTE
LI-AH2
COMPENSATION:
- Salary Range: $208,592—$429,454 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
US based applicants only
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Staff Data Engineer
Align your credentials to specialty occupation standards
DOL requires your degree field to directly relate to the data engineering role. A computer science or information systems degree maps cleanly, but a business degree with a data-heavy postgraduate qualification may need a credential evaluation letter to satisfy the specialty occupation requirement.
Target employers with active DOL LCA histories
Search the DOL's Foreign Labor Certification Data Center for employers who have previously certified LCAs for data engineering titles. Prior LCA filings signal that an employer understands the E-3 process and won't treat your sponsorship request as a novel legal exercise.
Distinguish your staff-level scope in application materials
Senior Staff Data Engineer roles involve cross-functional architecture decisions and mentorship, not just pipeline execution. Your resume and any supporting documentation should reflect that scope so the LCA job description accurately captures a position requiring a specific technical degree rather than general experience.
Negotiate LCA filing into your offer timeline
Your employer must obtain a certified LCA from the DOL before you can attend your consular appointment. Ask the hiring team to initiate the LCA the same week you receive your written offer so certification doesn't compress your start-date window.
Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork
Senior Staff roles often require detailed job duty descriptions that satisfy DOL specialty occupation standards. Migrate Mate's E-3 filing service prepares the LCA, DS-160, and consulate documentation end-to-end so nothing in your packet understates the technical depth of the role.
Prepare for Australian degree equivalency questions at the consulate
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes, but consular officers can ask. Carry your official transcripts and, if your degree program ran three years, a credential evaluation from a NACES-member agency as supporting documentation.
Senior Staff Data Engineer jobs are hiring across the US. Find yours.
Find Senior Staff Data Engineer JobsSenior Staff Data Engineer E-3 Visa: Frequently Asked Questions
How do I find Senior Staff Data Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. You can filter by job title and visa type to surface employers who have a history of sponsoring Australian workers, which saves you from applying to companies that will decline sponsorship after an offer.
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 Senior Staff Data Engineer role qualify as a specialty occupation for the E-3?
Yes. Senior Staff Data Engineer positions require a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or data science, which satisfies the DOL's specialty occupation definition. Roles that emphasize platform architecture, data modeling, and cross-team technical leadership have a strong qualification profile for E-3 purposes.
How does the E-3 compare to the H-1B for a Senior Staff Data Engineer?
The H-1B enters an annual lottery with roughly a one-in-four selection rate, meaning you could wait years before securing status. The E-3 has no lottery and an annual allocation of 10,500 that has never been filled, so an Australian with a qualifying job offer and degree can proceed directly to a consular appointment without any lottery risk.
Can I change employers or move to a contract role while on E-3 status as a data engineer?
You can change employers, but each new position requires a fresh LCA and a new E-3 visa stamp if you travel internationally before the change takes effect. Contract or consulting arrangements are permissible if the contracting entity is the legal employer on the LCA, but third-party staffing arrangements where the end client controls your day-to-day work can raise issues at the consulate.
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