Science & Research E-3 Sponsorship Jobs in Washington
Science and research E-3 visa sponsorship jobs in Washington are concentrated around Seattle's life sciences corridor, with major employers including the Fred Hutchinson Cancer Center, University of Washington, Allen Institute, and global tech firms running applied research divisions. Roles span computational biology, environmental science, clinical research, and materials science across Seattle, Bellevue, and the Puget Sound region.
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Get Access To All JobsAbout the Team
The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products.
Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics.
We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era.
About the role:
We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
In this role, you will:
-
Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
-
Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
-
Work collaboratively with various teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
-
Implement robust and fault-tolerant systems for data ingestion and processing.
-
Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
-
Ensure the security, integrity, and compliance of data according to industry and company standards.
You might thrive in this role if you:
-
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
-
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
-
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
-
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
-
Solid understanding of Spark and ability to write, debug and optimize Spark code.
Location:
This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.
Compensation Range:
$293K - $325K USD
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
Compensation
$293K – $325K + Offers Equity
About the Team
The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products.
Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics.
We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era.
About the role:
We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
In this role, you will:
-
Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
-
Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
-
Work collaboratively with various teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
-
Implement robust and fault-tolerant systems for data ingestion and processing.
-
Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
-
Ensure the security, integrity, and compliance of data according to industry and company standards.
You might thrive in this role if you:
-
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
-
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
-
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
-
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
-
Solid understanding of Spark and ability to write, debug and optimize Spark code.
Location:
This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.
Compensation Range:
$293K - $325K USD
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
Compensation
$293K – $325K + Offers Equity
E-3 Science & Research Job Roles in Washington
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Search Science & Research Jobs in WashingtonScience & Research E-3 Sponsorship Jobs in Washington: Frequently Asked Questions
Which science and research companies sponsor E-3 visas in Washington?
Washington's science and research sector includes several employers with established international hiring records. The Fred Hutchinson Cancer Center, Allen Institute for Brain Science, Seattle Children's Research Institute, and University of Washington are prominent research institutions. On the industry side, companies like Microsoft Research, Amazon Science, and Novo Nordisk have Washington-based research operations and documented histories of sponsoring work visas for qualified international candidates.
Which cities in Washington have the most science and research E-3 sponsorship jobs?
Seattle holds the largest concentration, anchored by its medical research institutions, university ecosystem, and tech-adjacent science divisions along the South Lake Union corridor. Bellevue has grown as a secondary hub, particularly for applied and computational research roles tied to large technology employers. Redmond and Bothell also have notable presences in biotech and pharmaceutical research, with Bothell housing several life sciences manufacturing and R&D operations.
What types of science and research roles typically qualify for E-3 sponsorship?
E-3 visa eligibility requires the position to qualify as a specialty occupation, meaning it must typically require a bachelor's degree or higher in a specific field. In Washington's science sector, roles that commonly meet this standard include research scientists, computational biologists, biostatisticians, environmental scientists, clinical research associates, and materials scientists. Positions requiring a general science background without a specific degree field can face more scrutiny during the application process.
How do I find science and research E-3 sponsorship jobs in Washington?
Migrate Mate is built specifically for this search. You can filter by visa type (E-3), industry (science and research), and state (Washington) to see current openings from employers who have sponsored international candidates before. This saves significant time compared to manually reviewing job postings for sponsorship signals. Migrate Mate's dataset focuses on verifiable sponsorship history, which is particularly useful in research fields where sponsorship policies vary widely between institutions and private employers.
Are there any Washington-specific considerations for science and research E-3 sponsorship?
Washington has no state income tax, which affects overall compensation comparisons but does not change E-3 eligibility requirements. One practical consideration is that many Washington research positions, particularly at public institutions like the University of Washington, operate under federal grant funding, which can affect hiring timelines and the speed at which an employer initiates sponsorship. Research roles tied to federal contracts may also involve additional background checks that extend the overall onboarding period.
What is the prevailing wage for E-3 science & research jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.