TN Visa Senior Principal Data Engineer Jobs
Senior Principal Data Engineer roles qualify for TN visa sponsorship under the USMCA Systems Analyst category, covering advanced data architecture, pipeline design, and engineering leadership. Canadian citizens can apply at the border or port of entry with no cap concerns. Mexican citizens require consular processing. Employers must document how the role meets specialty occupation standards.
Find TN Visa Senior Principal Data Engineer JobsOverview
Showing 5 of 24+ Senior Principal Data Engineer jobs
See all Senior Principal Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Principal Data Engineer roles.
Get Access To All JobsINTRODUCTION
The AI and Infrastructure (AI2) team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. As Principal Engineer, you will define the strategic and technical direction for PIE Robotics roadmap.
In this role, you will lead the strategy and technical development of Data Center hardware robotics systems. You will lead internally and externally, to deliver the robotics automation solutions to enable our scale up and out hardware deployment, repair operations, and final decommission.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $275000 - $383000 (USD) + 30% bonus target + equity + benefits
BASIC QUALIFICATIONS
- PhD degree in Robotics or a related technical field, or equivalent practical experience.
- 15 years of experience in robotics systems engineering or architecture, and experience with technical innovation.
- Experience in the robotics industry, leading robotics applications development and turning Research and Development (R&D) into deployed, real world systems.
- Experience in robotic control, planning, kinematics, and mechatronic systems.
PREFERRED QUALIFICATIONS
- Experience with embedded systems (e.g., RTOS, microcontrollers, FPGA), sensor fusion, and actuator control.
- Experience implementing foundational vision-language-action (VLA) models, imitation learning, and reinforcement learning (RL) pipelines to teach robots dynamic object manipulation.
- Experience executing low-latency teleoperation infrastructure, haptic feedback integration, and human-in-the-loop systems for complex, remote hardware interventions and data collection.
- Familiarity with motion control systems and robotics programming languages (e.g. Robot Operating System) or similar frameworks.
- Practical understanding of recent advancements in the robotics field, specifically the application of general-purpose bipedal/wheeled humanoid platforms for flexible, human-centric data center tasks.
Responsibilities
- Scope and develop advanced robotics automation technical solutions for data center hardware required for AI2 business transformation.
- Collaborate closely with executive leadership, internal and external, regarding AI2's data Center Robotics strategy and ecosystem development.
- Source and ensure AI2 captures the latest Robotics and AI technologies and solutions from the ecosystem, and rapidly deploy within AI2, to meet the business needs.
- Lead engineering execution and provide technical leadership for product features and delivery. Oversee the end-to-end deployment of autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and multi-axis robotic arms for handling delicate data center hardware.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
The AI and Infrastructure (AI2) team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. As Principal Engineer, you will define the strategic and technical direction for PIE Robotics roadmap.
In this role, you will lead the strategy and technical development of Data Center hardware robotics systems. You will lead internally and externally, to deliver the robotics automation solutions to enable our scale up and out hardware deployment, repair operations, and final decommission.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $275000 - $383000 (USD) + 30% bonus target + equity + benefits
BASIC QUALIFICATIONS
- PhD degree in Robotics or a related technical field, or equivalent practical experience.
- 15 years of experience in robotics systems engineering or architecture, and experience with technical innovation.
- Experience in the robotics industry, leading robotics applications development and turning Research and Development (R&D) into deployed, real world systems.
- Experience in robotic control, planning, kinematics, and mechatronic systems.
PREFERRED QUALIFICATIONS
- Experience with embedded systems (e.g., RTOS, microcontrollers, FPGA), sensor fusion, and actuator control.
- Experience implementing foundational vision-language-action (VLA) models, imitation learning, and reinforcement learning (RL) pipelines to teach robots dynamic object manipulation.
- Experience executing low-latency teleoperation infrastructure, haptic feedback integration, and human-in-the-loop systems for complex, remote hardware interventions and data collection.
- Familiarity with motion control systems and robotics programming languages (e.g. Robot Operating System) or similar frameworks.
- Practical understanding of recent advancements in the robotics field, specifically the application of general-purpose bipedal/wheeled humanoid platforms for flexible, human-centric data center tasks.
Responsibilities
- Scope and develop advanced robotics automation technical solutions for data center hardware required for AI2 business transformation.
- Collaborate closely with executive leadership, internal and external, regarding AI2's data Center Robotics strategy and ecosystem development.
- Source and ensure AI2 captures the latest Robotics and AI technologies and solutions from the ecosystem, and rapidly deploy within AI2, to meet the business needs.
- Lead engineering execution and provide technical leadership for product features and delivery. Oversee the end-to-end deployment of autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and multi-axis robotic arms for handling delicate data center hardware.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all TN Visa Senior Principal Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Senior Principal Data Engineer Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Senior Principal Data Engineer
Map your credentials to Systems Analyst
TN visa classification for data engineering roles falls under Systems Analyst, not a dedicated data category. Gather your degree transcripts and document how your coursework in computer science, mathematics, or information systems maps directly to the engineering functions in your job offer.
Target employers experienced with visa sponsorship
Companies experienced with visa sponsorship understand the documentation requirements and won't stall at the offer stage. Filter for employers in cloud infrastructure, financial services, and healthcare technology, where senior data engineering roles are most consistently classified under Systems Analyst—a TN-eligible professional category.
Require a detailed support letter from your employer
CBP officers adjudicate TN petitions at the border using only what you hand them. Your employer's support letter must specify your title, describe data architecture and pipeline responsibilities in technical terms, and explicitly connect those duties to the Systems Analyst TN category.
Search verified TN-sponsoring employers on Migrate Mate
Targeting companies already open to TN sponsorship cuts weeks off your search. Use Migrate Mate to find Senior Principal Data Engineer roles at employers with documented sponsorship history, so you're not educating hiring managers about TN eligibility during negotiations.
Clarify Mexican processing timelines before accepting offers
Mexican citizens process TN visas at a U.S. consulate, which adds scheduling time that Canadian border processing doesn't require. Build this into your start date negotiation so your employer isn't expecting a two-week turnaround when consular appointment availability may extend further.
Prepare for principal-level scrutiny on role complexity
Senior Principal titles attract closer CBP review because officers verify the role genuinely requires a bachelor's degree or higher in a related field. Document that your responsibilities involve architectural decision-making and cross-functional engineering leadership, not generalist data tasks any graduate could perform.
Senior Principal Data Engineer TN Visa: Frequently Asked Questions
Does a Senior Principal Data Engineer role qualify for a TN visa?
Yes, Senior Principal Data Engineer roles can qualify under the TN Systems Analyst category, provided the position requires a bachelor's degree or higher in computer science, information systems, mathematics, or a closely related field. The job offer letter must describe responsibilities such as data architecture design, pipeline engineering, and systems integration at a level that clearly supports specialty classification.
How does TN visa sponsorship compare to H-1B for this role?
TN has no annual lottery and no cap for Canadian citizens, so you can apply year-round and start as soon as the visa is approved. H-1B visa selection is limited to 85,000 slots annually and requires entering a randomized lottery. For a Senior Principal Data Engineer with a qualifying degree, TN is a faster, more predictable path. Mexican citizens face a separate TN numerical limit, but still avoid the H-1B lottery.
What documents does a Canadian citizen need to cross the border on TN status for this role?
You need a valid Canadian passport, a detailed employer support letter describing the Senior Principal Data Engineer role and its connection to the Systems Analyst TN category, proof of your qualifying degree, and payment for the TN border fee. CBP adjudicates the application on the spot. No prior petition approval or visa stamp is required for Canadian citizens.
Where can I find Senior Principal Data Engineer jobs with TN visa sponsorship?
Migrate Mate is built specifically for Canadian and Mexican professionals seeking U.S. roles with TN visa sponsorship. You can search Senior Principal Data Engineer positions filtered by employers who already understand TN requirements, which means fewer conversations spent explaining the visa category and more time focused on the technical interview.
Can a Senior Principal Data Engineer on TN status change employers?
Yes, but you can't start with the new employer until TN authorization for that role is secured. Canadian citizens can obtain a new TN at any port of entry with the new employer's documentation. Mexican citizens return to a U.S. consulate for a new visa. There's no grace period that automatically extends your work authorization after leaving the sponsoring employer, so timing matters.