Senior Data Science Engineer Visa Sponsorship Jobs in Oregon
Oregon's senior data science engineer market is anchored by Nike's global headquarters in Beaverton, Intel's major campus in Hillsboro, and a growing cluster of tech firms in Portland. Companies across e-commerce, semiconductor manufacturing, and athletic technology regularly sponsor H-1B visas for senior-level data science engineering roles in this state.
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Position Type
Career area
Software Engineering
Location
1 Bowerman Drive, Beaverton, Oregon 97005, United States
Job ID
R-84908
Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?
Senior Software Engineer– NIKE, Inc.- Beaverton, OR. Serve as an integral member of a multi-functional engineering teams that delivers solutions unlocking machine learning for Nike; analyze and profile data to uncover insights in support of scalable solutions, clean, prepare and verify the integrity of data for analysis and model creation; track model accuracy, performance, relevance, and reliability; apply a variety of machine learning and collaborative filtering methods to data sets; aid in building APIs and software libraries that support adoption of models in production; leverage prior experience, knowledge of industry trends, and personal creativity to develop new and innovative solutions which delight our customers in their mission to serve Athletes; stay ahead of with industry trends and recommend relevant technologies & products in the areas of Analytics, Machine Learning, Artificial Intelligence, and Data Science tools and other emerging technologies; embrace and embody Nike’s core values (Maxims) in work and interactions with peers and stakeholders; communicate effectively, building trust and strong relationships across the company. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
BASIC QUALIFICATIONS
Must have a Master’s degree in Software Engineering, Computer Engineering, and Computer Science and 2 years of experience in the job offered or in a engineering-related occupation.
Position requires:
- Distributed Systems
- CI/CD Pipelines
- Machine Learning Pipelines
- Cloud Platforms (Azure, AWS, GCP)
- API Development
- Model development and Training
- Databricks
- Apache Spark
- Deep Learning Frameworks (TensorFlow, PyTorch)
- Lakehouse architecture
- Large-Scale Data Preprocessing
- Programming (Python, SQL, C++)
- LLM Models (Generative AI, RAG)
- Data Governance
Apply at www.Nike.com/Careers (Job# R-84908)
LI-DNI
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
What You Can Expect
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
Senior Data Science Engineer Job Roles in Oregon
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Search Senior Data Science Engineer Jobs in OregonSenior Data Science Engineer Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Oregon?
Nike, Intel, Daimler Trucks North America, and Precision Castparts are among Oregon employers with documented H-1B sponsorship histories for senior data science and engineering roles. Portland-based technology companies and e-commerce operations also appear in Department of Labor LCA disclosure data as active sponsors for senior data science engineer positions.
Which visa types are most common for senior data science engineer roles in Oregon?
The H-1B is the most common visa for senior data science engineers in Oregon, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding L-1B specialized knowledge status or O-1A extraordinary ability visas may also find Oregon employers willing to support those categories for senior-level roles.
Which cities in Oregon have the most senior data science engineer sponsorship jobs?
Portland and the surrounding metro area, including Beaverton and Hillsboro, account for the large majority of Oregon's senior data science engineer sponsorship activity. The Hillsboro corridor is particularly active due to Intel's semiconductor research operations. Eugene sees smaller but steady demand, partly driven by technology companies with ties to the University of Oregon.
How to find senior data science engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically for roles where employers have a documented history of visa sponsorship, making it easier to identify senior data science engineer openings in Oregon without sifting through positions that don't support work authorization. You can search by state and role to surface opportunities at Oregon-based employers in technology, manufacturing, and consumer goods sectors.
Are there any Oregon-specific considerations for senior data science engineers seeking visa sponsorship?
Oregon's concentration of semiconductor and athletic technology employers means prevailing wage requirements are benchmarked against a competitive regional market, so sponsoring employers must meet Department of Labor wage standards for the Portland-Hillsboro metro area. The University of Oregon and Oregon State University also produce graduate-level data science talent that feeds local employer pipelines, which shapes how actively Oregon companies recruit internationally for senior roles.
What is the prevailing wage for sponsored senior data science engineer jobs in Oregon?
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.