AI Data Engineer Visa Sponsorship Jobs in Oregon
Oregon's AI data engineer hiring is concentrated in Portland's tech corridor, with employers like Nike, Adidas, Intel, and a growing cluster of cloud and ML startups actively building data teams. Remote-friendly companies headquartered in the Pacific Northwest also post AI data engineer roles with visa sponsorship, making Oregon a competitive market for international candidates.
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Job Title: Staff Software Engineer – AI & MCP
Job Summary:
Assume a technical leadership role on the team, with ownership of solutions, systems, and projects. Develop, review, test, and debug code to support software products. Contribute to the growth and development of other software engineers and teams. Develop and execute tactical and strategic plans from discovery through delivery. Understand requirements and translate them into high-quality, production-ready deliverables that support progress on the product roadmap and customer commitments.
Essential Functions:
-
Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product requirements into scalable backend solutions, robust AI tooling, and highly relevant search experiences.
-
Architect Data & Search Pipelines: Design, build, and optimize large-scale distributed batch processing pipelines (using Apache Beam/Dataflow and Airflow) to transform high-volume healthcare data into structured search indices and vector embeddings.
-
Build Advanced Backend & AI Services: Develop resilient Java and Python microservices, including building Model Context Protocol (MCP) servers, orchestrating LLM function calling, and integrating with external REST/SOAP APIs.
-
Optimize Search & System Performance: Deeply optimize Elasticsearch architecture and query latency, implementing advanced hybrid search techniques (combining BM25, semantic vector search, and RRF ranking) to ensure precise relevance and system scalability.
-
Drive Engineering Excellence: Write clean, maintainable code and lead by example through rigorous code reviews, architectural design discussions, and mentoring, driving a culture of high-quality software development.
-
Pioneer New Technologies: Stay at the forefront of industry trends in information retrieval, AI orchestration, and modern data engineering, proactively applying these advancements to enhance our platform and AI agents.
Minimum Requirements:
-
Core Languages: 7+ years of experience with Java and 4+ years of experience with Python.
-
Search & Information Retrieval: Advanced expertise in Elasticsearch, including cluster architecture, index management, and implementing hybrid search (combining traditional BM25 lexical search with semantic vector/k-NN search and RRF scoring).
-
Data Engineering: Proven experience designing and orchestrating large-scale ETL pipelines using Apache Beam/Google Cloud Dataflow (Java), Apache Airflow (Python), and modern data warehouses like BigQuery.
-
Backend & AI Integrations: Experience building scalable Java and Python microservices, designing high-performance APIs, and developing AI tooling (e.g., Model Context Protocol (MCP) servers, LLM tool/function calling, and prompt orchestration).
-
Databases: 4+ years of experience using relational databases and deep knowledge of SQL.
-
Infrastructure & DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, and managing services within cloud platforms (3+ years of GCP experience preferred).
Education: N/A
Experience: 7+ years of software engineering experience
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities:
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

Job Title: Staff Software Engineer – AI & MCP
Job Summary:
Assume a technical leadership role on the team, with ownership of solutions, systems, and projects. Develop, review, test, and debug code to support software products. Contribute to the growth and development of other software engineers and teams. Develop and execute tactical and strategic plans from discovery through delivery. Understand requirements and translate them into high-quality, production-ready deliverables that support progress on the product roadmap and customer commitments.
Essential Functions:
-
Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product requirements into scalable backend solutions, robust AI tooling, and highly relevant search experiences.
-
Architect Data & Search Pipelines: Design, build, and optimize large-scale distributed batch processing pipelines (using Apache Beam/Dataflow and Airflow) to transform high-volume healthcare data into structured search indices and vector embeddings.
-
Build Advanced Backend & AI Services: Develop resilient Java and Python microservices, including building Model Context Protocol (MCP) servers, orchestrating LLM function calling, and integrating with external REST/SOAP APIs.
-
Optimize Search & System Performance: Deeply optimize Elasticsearch architecture and query latency, implementing advanced hybrid search techniques (combining BM25, semantic vector search, and RRF ranking) to ensure precise relevance and system scalability.
-
Drive Engineering Excellence: Write clean, maintainable code and lead by example through rigorous code reviews, architectural design discussions, and mentoring, driving a culture of high-quality software development.
-
Pioneer New Technologies: Stay at the forefront of industry trends in information retrieval, AI orchestration, and modern data engineering, proactively applying these advancements to enhance our platform and AI agents.
Minimum Requirements:
-
Core Languages: 7+ years of experience with Java and 4+ years of experience with Python.
-
Search & Information Retrieval: Advanced expertise in Elasticsearch, including cluster architecture, index management, and implementing hybrid search (combining traditional BM25 lexical search with semantic vector/k-NN search and RRF scoring).
-
Data Engineering: Proven experience designing and orchestrating large-scale ETL pipelines using Apache Beam/Google Cloud Dataflow (Java), Apache Airflow (Python), and modern data warehouses like BigQuery.
-
Backend & AI Integrations: Experience building scalable Java and Python microservices, designing high-performance APIs, and developing AI tooling (e.g., Model Context Protocol (MCP) servers, LLM tool/function calling, and prompt orchestration).
-
Databases: 4+ years of experience using relational databases and deep knowledge of SQL.
-
Infrastructure & DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, and managing services within cloud platforms (3+ years of GCP experience preferred).
Education: N/A
Experience: 7+ years of software engineering experience
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities:
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.
AI Data Engineer Job Roles in Oregon
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Search AI Data Engineer Jobs in OregonAI Data Engineer Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for AI data engineers?
Intel's campus in Hillsboro is one of Oregon's most active H-1B sponsors for technical roles, including AI and data engineering. Nike and Adidas, both with significant tech operations in the Portland metro area, have also sponsored AI-focused data roles. Beyond those names, a number of cloud infrastructure and machine learning startups in Portland have filed LCAs for AI data engineer positions.
Which visa types are most common for AI data engineers in Oregon?
The H-1B is the most common visa for AI data engineers in Oregon, as the role typically requires a bachelor's degree or higher in computer science, data science, or a related field, satisfying the specialty occupation standard. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions frequently transition into H-1B sponsorship. Nationals from Australia and Canada may also pursue E-3 and TN visas respectively, where the role qualifies.
How to find ai data engineer visa sponsorship jobs in Oregon?
Migrate Mate is built specifically for international job seekers and filters AI data engineer roles in Oregon by visa sponsorship history, so you're not sifting through postings from employers who don't sponsor. The platform surfaces companies with documented sponsorship activity, which is especially useful in Oregon where sponsoring employers range from large semiconductor firms like Intel to smaller Portland-area AI startups.
Which cities in Oregon have the most AI data engineer sponsorship jobs?
Portland accounts for the majority of AI data engineer sponsorship activity in Oregon, driven by its established tech sector and the presence of large corporate headquarters. Hillsboro, part of the Portland metro area, is significant on its own given Intel's large footprint there. Beaverton also appears in LCA filings due to Nike's tech operations. Outside the metro area, AI data engineer sponsorship roles are rare.
Are there state-specific factors AI data engineers should know about when pursuing sponsorship in Oregon?
Oregon doesn't impose state-level visa requirements, but prevailing wage determinations for AI data engineers in the Portland metro area are set against a competitive market, so employers filing LCAs must offer wages benchmarked to local rates. Oregon State University and Portland State University produce graduates who feed into local data and ML pipelines, which means competition for sponsored roles can be strong among candidates already based in the state.
What is the prevailing wage for sponsored ai data 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.
See which ai data engineer employers are hiring and sponsoring visas in Oregon right now.
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