J-1 Visa Senior Principal Data Engineer Jobs
Senior Principal Data Engineer roles in the U.S. are accessible to international professionals through J-1 visa sponsorship, most commonly under the Trainee or Research Scholar program categories. Host employers work alongside a State Department-designated sponsor organization to issue your DS-2019 and structure a qualifying training or research program.
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Get Access To All JobsINTRODUCTION
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
ABOUT THE ROLE
As a Senior Engineer on the Autonomy Data Curation team, you’ll help build a data flywheel. You’ll collect the data that matters most from internal and external fleets of drones and turn it into high-quality, model-ready datasets that Autonomy teams can consume quickly and confidently for training and model development. Close peers will include the Deep Learning and Computer Vision teams. This role is an individual contributor who will report to the Director of Autonomy Data Curation.
HOW YOU’LL MAKE AN IMPACT
- Build and operate pipelines that transform raw autonomy logs & media into curated datasets with strong observability and clear ownership to make curated data more broadly reusable.
- Build tooling that makes data discovery and slicing fast and self-serve for Autonomy teams. For example: media search tooling and hard mining loops with infra for auto-routing data to annotation.
- Improve dataset quality and repeatability: versioning, provenance, and automated checks.
- Apply privacy and security requirements in throughout our processes (access controls, retention, redaction/anonymization).
- Build with a data-driven and impact-forward mindset with dashboards highlighting cost, dataset balance, and audit details.
BASIC QUALIFICATIONS
- 5+ years of professional software engineering experience (or equivalent), with significant ownership of production systems.
- Strong proficiency in programming, demonstrable in at least one of our most frequently used languages (Python/C++).
- Hands-on experience building data pipelines for large-scale datasets (ETL/ELT, streaming or batch, orchestration).
- Experience with data modeling, schema evolution, and dataset/version management.
- Solid understanding of reliability engineering: monitoring, incident response, backfills, and operational rigor.
- Ability to work across ambiguous interfaces (data + tooling + model consumers) and drive decisions.
PREFERRED QUALIFICATIONS
- Experience with autonomy/robotics data: flight logs, self-driving car data, sensor fusion traces, video, geospatial metadata.
- Experience with labeling workflows, annotation tooling, and labeling QA at scale.
- Familiarity with privacy concepts (PII handling, redaction, access control, audit logs).
- Experience with vector/semantic search over media or telemetry.
- Experience building hard-mining evaluation loops for ML models.
WORKING STYLE
- Clarity foremost: written proposals, crisp interfaces, measurable outcomes.
- Pragmatic designs: build what’s needed, buy/borrow when it saves time, be judicious.
- Toolbelt-aware: use the right tools for the job, lean into finding ways to upskill yourself, and leverage generative AI coding and agentic workflows.
COMPENSATION
At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - $240,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.
- For some positions the pay may be dependent upon the individual's regional location.
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
INTRODUCTION
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
ABOUT THE ROLE
As a Senior Engineer on the Autonomy Data Curation team, you’ll help build a data flywheel. You’ll collect the data that matters most from internal and external fleets of drones and turn it into high-quality, model-ready datasets that Autonomy teams can consume quickly and confidently for training and model development. Close peers will include the Deep Learning and Computer Vision teams. This role is an individual contributor who will report to the Director of Autonomy Data Curation.
HOW YOU’LL MAKE AN IMPACT
- Build and operate pipelines that transform raw autonomy logs & media into curated datasets with strong observability and clear ownership to make curated data more broadly reusable.
- Build tooling that makes data discovery and slicing fast and self-serve for Autonomy teams. For example: media search tooling and hard mining loops with infra for auto-routing data to annotation.
- Improve dataset quality and repeatability: versioning, provenance, and automated checks.
- Apply privacy and security requirements in throughout our processes (access controls, retention, redaction/anonymization).
- Build with a data-driven and impact-forward mindset with dashboards highlighting cost, dataset balance, and audit details.
BASIC QUALIFICATIONS
- 5+ years of professional software engineering experience (or equivalent), with significant ownership of production systems.
- Strong proficiency in programming, demonstrable in at least one of our most frequently used languages (Python/C++).
- Hands-on experience building data pipelines for large-scale datasets (ETL/ELT, streaming or batch, orchestration).
- Experience with data modeling, schema evolution, and dataset/version management.
- Solid understanding of reliability engineering: monitoring, incident response, backfills, and operational rigor.
- Ability to work across ambiguous interfaces (data + tooling + model consumers) and drive decisions.
PREFERRED QUALIFICATIONS
- Experience with autonomy/robotics data: flight logs, self-driving car data, sensor fusion traces, video, geospatial metadata.
- Experience with labeling workflows, annotation tooling, and labeling QA at scale.
- Familiarity with privacy concepts (PII handling, redaction, access control, audit logs).
- Experience with vector/semantic search over media or telemetry.
- Experience building hard-mining evaluation loops for ML models.
WORKING STYLE
- Clarity foremost: written proposals, crisp interfaces, measurable outcomes.
- Pragmatic designs: build what’s needed, buy/borrow when it saves time, be judicious.
- Toolbelt-aware: use the right tools for the job, lean into finding ways to upskill yourself, and leverage generative AI coding and agentic workflows.
COMPENSATION
At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - $240,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.
- For some positions the pay may be dependent upon the individual's regional location.
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Senior Principal Data Engineer
Document your data engineering specialization clearly
Trainee and Research Scholar programs require a defined training plan tied to your specific expertise. Prepare a technical portfolio showing architecture decisions, pipeline design, or ML infrastructure work so designated sponsors can map your background to an approvable program objective.
Distinguish Trainee from Research Scholar eligibility
If you graduated within the last 12 months or are still enrolled, the Trainee category applies. If your role involves original research or academic collaboration at a university or institute, Research Scholar is the correct category. Applying under the wrong category triggers delays or denial.
Target host employers with existing designated sponsor relationships
Host organizations that have previously filed DS-2019 forms through a designated sponsor move faster because the compliance infrastructure is already in place. Use Migrate Mate to identify U.S. employers actively listing roles compatible with J-1 exchange visitor programs.
Verify your role qualifies as a specialty occupation
Senior Principal Data Engineer positions typically fall under O*NET SOC code 15-1243. Confirm your offered duties match the occupation profile before the training plan is drafted, since the designated sponsor will cross-check your role description against federal occupational definitions.
Clarify the two-year home residency requirement upfront
If your home country appears on the Exchange Visitor Skills List or your J-1 is government-funded, a two-year home residency requirement applies before you can change to H-1B or a green card. Raise this with your host employer during offer negotiation, not after acceptance.
Align your training plan duration with program category limits
Trainee programs cap at 18 months for hospitality but extend to 18 months for most professional fields, while Research Scholar programs allow up to five years. Confirm the intended duration matches your host employer's project timeline before the DS-2019 is issued to avoid mid-program complications.
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Find Senior Principal Data Engineer JobsSenior Principal Data Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Senior Principal Data Engineer?
Most Senior Principal Data Engineers enter on the Trainee category if they have fewer than seven years of post-degree professional experience, or the Research Scholar category if the role is based at a university, national laboratory, or research institute and involves original inquiry. Industry roles at private technology companies almost always fall under Trainee, with the host employer partnering with a designated sponsor such as CIEE or Cultural Vistas to issue the DS-2019.
Who actually sponsors the J-1 visa for a data engineering role?
The J-1 visa sponsor is a U.S. Department of State-designated organization, not the hiring company. The employer acts as the host, while the designated sponsor issues your DS-2019, monitors your training plan compliance, and serves as your official program contact. Organizations like CIEE, Cultural Vistas, and IIE play this administrative role. Your employer and the designated sponsor must coordinate before you can begin the exchange program.
How do I find U.S. employers open to hosting J-1 data engineers?
Most job boards don't filter by J-1 compatibility, which makes targeting host employers difficult. Migrate Mate is designed specifically to surface U.S. employers and roles that align with J-1 exchange visitor programs, so you can focus applications on organizations already familiar with the hosting process rather than cold-pitching companies with no exchange visitor experience.
Does the two-year home residency requirement affect senior-level data engineering roles?
It can, and it's a detail that catches many applicants off-guard at the offer stage. If your home country is on the Exchange Visitor Skills List or your J-1 exchange is funded by your home government or the U.S. government, you must return home for two years before applying for an H-1B, L-1, or immigrant visa. Senior roles at private tech companies sometimes offer longer-term paths, so clarifying this requirement before accepting an offer protects your future options.
What does the training plan need to include for a Senior Principal Data Engineer?
The training plan submitted to your designated sponsor must describe specific technical objectives tied to your role, list the supervision structure, outline measurable milestones, and justify why the training requires U.S.-based experience. For Senior Principal Data Engineers, this typically means documenting advanced skills development in distributed systems, data architecture, or ML platform engineering. Vague plans referencing generic software development are frequently rejected during sponsor review.
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