Oregon State University OPT Eligible Jobs USA
Oregon State University actively hires F-1 students on OPT across research, engineering, technology, and administrative roles. As a major public research university, OSU offers strong pathways for OPT students, including STEM-eligible positions and demonstrated support for the OPT-to-H-1B visa transition for qualifying employees.
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Get Access To All JobsPosition Summary:
Reporting to the Senior Director II, Relationship Insights & Analytics, the Analytics Engineer II designs, builds, and maintains the Foundation’s analytics infrastructure and applications. This role ensures a reliable, scalable analytics environment that delivers meaningful value to end users, with a strong emphasis on AI‑ready architecture that is optimized for advanced analytics and use by analytical AI agents.
Measures of Success:
- Reliability: Data is delivered on time and consistently, with minimal disruptions that impact end users.
- Analytics Readiness: Analytics infrastructure and platforms are well‑designed, accessible, and easy to use, enabling teams to answer questions quickly with fewer data issues or down-time.
- Impact: Infrastructure supports meaningful business decisions and AI initiatives, demonstrated by increased use of trusted datasets and semantic layers, faster delivery of insights, and improved analytics.
Major Duties
- Design, build, and maintain SQL/dbt data models and semantic layers optimized for analytical query patterns and AI agent access.
- Define and maintain semantic layer encoding business logic, KPIs, and metric definitions in a single authoritative location.
- Apply dimensional modeling techniques to accurately represent business processes and metrics in our data warehouse.
- Prepare and curate data assets optimized for machine learning, LLM, and AI-agent workflows.
- Partner with analysts, data scientists, and stakeholders to translate business requirements into trusted data/analytical products.
- Develop and optimize ELT/ETL pipelines in a cloud data warehouse (e.g., Snowflake) for reliable, scalable data delivery.
- Implement data quality testing (schema, freshness, business rules) and remediate recurring data issues.
- Establish and sustain data lineage standards across analytical models, enabling stakeholders to trace data provenance from source to consumption in support of data governance, auditability, and operational reliability.
- Contribute to shared analytics codebases via Git/GitHub, including code reviews and established development workflows.
- Support Python-based automation, lightweight analytics services, and troubleshooting of cloud or containerized components as needed.
Knowledge/Skills:
Core Analytics Engineering Skills
- Solid experience in data modeling, including dimensional modeling concepts and data warehouse design and leveraging AI tools such as Claude Code.
- Strong SQL proficiency for transformation, analysis, and validation.
- Python proficiency for data processing, automation, and integration.
- Experience with dbt or a comparable analytics engineering framework to build, test, and document data models.
Data Platforms & Infrastructure
- Experience in Azure cloud environments (AWS or GCP transferable).
- Experience with Snowflake or other modern cloud data warehouses (BigQuery, Redshift, Databricks SQL, etc.).
- Familiarity with relational databases such as SQL Server and PostgreSQL.
Data Platforms & Orchestration
- Experience designing, building, and maintaining ELT/ETL pipelines.
- Familiarity with orchestration tools (Airflow, Prefect, Azure Data Factory, or similar).
- Ability to troubleshoot pipeline failures, performance issues, and data quality problems.
- Experience implementing data quality tests including schema, freshness, and business rule validations.
Version Control & Development Practices
- Experience with Git/GitHub for version control and shared codebase collaboration.
- Comfortable with following established development workflows, including code reviews and iterative improvement.
Additional Knowledge/Skills
- Experience designing data models and semantic layers that support machine-learning and LLM-based reasoning for leveraging AI-driven analytical agents.
- Experience with Tableau or similar BI tools (Power BI, Looker, etc.) to support dashboard development and analytics.
- Familiarity with Python web application development using frameworks such as Flask.
- Understanding of web application concepts, including routing, authentication patterns, and environment configuration.
- Exposure to Docker or containerized applications, including interpreting logs and basic runtime troubleshooting.
Education/Experience:
Bachelor’s degree in computer science or related field and three to five years of software development or related experience. Preference will be given for possessing experience or knowledge in AI-related processes and technologies along with the following: Python, DBT, Azure, SQL Server, and Snowflake. Education and experience equivalencies will be considered.
Important Organizational Notes:
The candidate must possess a valid driver’s license and be prepared to work a flexible schedule that may include evenings and weekends to support foundation events and donor-related activities. Adherence to a professional code of conduct is essential at all times, ensuring the highest standards of integrity, respect, and ethical behavior in all interactions and responsibilities. Adherence to the Core Values is vital to success.
Oregon State University Foundation Core Values
- Collaborative: We convene our partners to achieve solutions.
- Productive: We get the right things done.
- Respectful: We treat one another with dignity and civility.
- Bold: We aspire to transform.
- Inclusive: We nurture a culture of belonging.
- Creative: We color outside the lines.
Classification: Exempt
What We Offer:
Comprehensive Benefits: a comprehensive total compensation package, which includes:
- A monthly employer contribution towards benefits
- A monthly employer match for a health savings account
- An impressive 17% employer contribution to retirement plan (based on qualified earnings)
- A generous Paid Time Off (PTO) program
- Two exceptional employee discount programs
Professional Growth: At OSU Foundation, we believe in investing in our employees' development. We provide ongoing training and opportunities for advancement.
Innovative Work Environment: Join a team of talented professionals in a stimulating and collaborative work atmosphere.
Work Location
The work location for this position is Corvallis, OR.
Position Summary:
Reporting to the Senior Director II, Relationship Insights & Analytics, the Analytics Engineer II designs, builds, and maintains the Foundation’s analytics infrastructure and applications. This role ensures a reliable, scalable analytics environment that delivers meaningful value to end users, with a strong emphasis on AI‑ready architecture that is optimized for advanced analytics and use by analytical AI agents.
Measures of Success:
- Reliability: Data is delivered on time and consistently, with minimal disruptions that impact end users.
- Analytics Readiness: Analytics infrastructure and platforms are well‑designed, accessible, and easy to use, enabling teams to answer questions quickly with fewer data issues or down-time.
- Impact: Infrastructure supports meaningful business decisions and AI initiatives, demonstrated by increased use of trusted datasets and semantic layers, faster delivery of insights, and improved analytics.
Major Duties
- Design, build, and maintain SQL/dbt data models and semantic layers optimized for analytical query patterns and AI agent access.
- Define and maintain semantic layer encoding business logic, KPIs, and metric definitions in a single authoritative location.
- Apply dimensional modeling techniques to accurately represent business processes and metrics in our data warehouse.
- Prepare and curate data assets optimized for machine learning, LLM, and AI-agent workflows.
- Partner with analysts, data scientists, and stakeholders to translate business requirements into trusted data/analytical products.
- Develop and optimize ELT/ETL pipelines in a cloud data warehouse (e.g., Snowflake) for reliable, scalable data delivery.
- Implement data quality testing (schema, freshness, business rules) and remediate recurring data issues.
- Establish and sustain data lineage standards across analytical models, enabling stakeholders to trace data provenance from source to consumption in support of data governance, auditability, and operational reliability.
- Contribute to shared analytics codebases via Git/GitHub, including code reviews and established development workflows.
- Support Python-based automation, lightweight analytics services, and troubleshooting of cloud or containerized components as needed.
Knowledge/Skills:
Core Analytics Engineering Skills
- Solid experience in data modeling, including dimensional modeling concepts and data warehouse design and leveraging AI tools such as Claude Code.
- Strong SQL proficiency for transformation, analysis, and validation.
- Python proficiency for data processing, automation, and integration.
- Experience with dbt or a comparable analytics engineering framework to build, test, and document data models.
Data Platforms & Infrastructure
- Experience in Azure cloud environments (AWS or GCP transferable).
- Experience with Snowflake or other modern cloud data warehouses (BigQuery, Redshift, Databricks SQL, etc.).
- Familiarity with relational databases such as SQL Server and PostgreSQL.
Data Platforms & Orchestration
- Experience designing, building, and maintaining ELT/ETL pipelines.
- Familiarity with orchestration tools (Airflow, Prefect, Azure Data Factory, or similar).
- Ability to troubleshoot pipeline failures, performance issues, and data quality problems.
- Experience implementing data quality tests including schema, freshness, and business rule validations.
Version Control & Development Practices
- Experience with Git/GitHub for version control and shared codebase collaboration.
- Comfortable with following established development workflows, including code reviews and iterative improvement.
Additional Knowledge/Skills
- Experience designing data models and semantic layers that support machine-learning and LLM-based reasoning for leveraging AI-driven analytical agents.
- Experience with Tableau or similar BI tools (Power BI, Looker, etc.) to support dashboard development and analytics.
- Familiarity with Python web application development using frameworks such as Flask.
- Understanding of web application concepts, including routing, authentication patterns, and environment configuration.
- Exposure to Docker or containerized applications, including interpreting logs and basic runtime troubleshooting.
Education/Experience:
Bachelor’s degree in computer science or related field and three to five years of software development or related experience. Preference will be given for possessing experience or knowledge in AI-related processes and technologies along with the following: Python, DBT, Azure, SQL Server, and Snowflake. Education and experience equivalencies will be considered.
Important Organizational Notes:
The candidate must possess a valid driver’s license and be prepared to work a flexible schedule that may include evenings and weekends to support foundation events and donor-related activities. Adherence to a professional code of conduct is essential at all times, ensuring the highest standards of integrity, respect, and ethical behavior in all interactions and responsibilities. Adherence to the Core Values is vital to success.
Oregon State University Foundation Core Values
- Collaborative: We convene our partners to achieve solutions.
- Productive: We get the right things done.
- Respectful: We treat one another with dignity and civility.
- Bold: We aspire to transform.
- Inclusive: We nurture a culture of belonging.
- Creative: We color outside the lines.
Classification: Exempt
What We Offer:
Comprehensive Benefits: a comprehensive total compensation package, which includes:
- A monthly employer contribution towards benefits
- A monthly employer match for a health savings account
- An impressive 17% employer contribution to retirement plan (based on qualified earnings)
- A generous Paid Time Off (PTO) program
- Two exceptional employee discount programs
Professional Growth: At OSU Foundation, we believe in investing in our employees' development. We provide ongoing training and opportunities for advancement.
Innovative Work Environment: Join a team of talented professionals in a stimulating and collaborative work atmosphere.
Work Location
The work location for this position is Corvallis, OR.
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Get Access To All JobsTips for Finding Oregon State University OPT Eligible Jobs USA
Target STEM-designated roles first
Oregon State University's research and engineering departments frequently post roles tied to STEM classification codes, which qualify you for the 24-month STEM OPT extension. Cross-reference your occupation's SOC code against STEM-designated fields before applying to maximize your authorized work window.
Confirm E-Verify enrollment before accepting
STEM OPT extension requires your employer to be enrolled in E-Verify. Oregon State University participates, but confirm this with HR before signing your offer letter. Without E-Verify enrollment, USCIS won't approve your 24-month extension regardless of your role's STEM designation.
Align your I-983 training plan early
Oregon State University's HR team will need to co-sign your I-983 training plan for STEM OPT. Prepare a draft that maps your day-to-day responsibilities to your degree field before your start date. Delays in getting this signed can push back your USCIS extension filing timeline significantly.
Research OSU's H-1B filing history on Migrate Mate
Before applying, use Migrate Mate to review Oregon State University's H-1B filing history by department and occupation. This shows which teams have sponsored visa transitions before, helping you prioritize roles where the OPT-to-H-1B pathway is already established rather than untested.
Position your credentials for academic hiring cycles
Oregon State University's faculty and research hiring follows academic calendars, with many positions opening in fall and spring. Submitting applications outside these cycles often means waiting months for review. Align your OPT start date planning with OSU's posted position timelines to avoid gaps in authorization.
Use O*NET to strengthen your specialty occupation case
If Oregon State University later pursues H-1B sponsorship for you, your job duties must meet specialty occupation standards. Use O*NET to document how your role's typical education requirements align with your degree field, building a stronger foundation for any future H-1B petition.
Oregon State University OPT Eligibility: Frequently Asked Questions
Does Oregon State University sponsor OPT visas?
Oregon State University doesn't sponsor OPT directly. OPT is work authorization granted by USCIS to eligible F-1 students. What OSU does is hire students who already hold a valid OPT EAD. OSU also supports the STEM OPT extension by participating in E-Verify, which is required for that 24-month extension to be approved.
Which departments at Oregon State University typically hire OPT students?
Research, engineering, computer science, and life sciences departments at Oregon State University are among the most active in hiring OPT students, largely because many roles in those areas align with STEM-designated classification codes. Administrative, communications, and non-technical roles are less likely to carry STEM eligibility, which can limit your extension options.
How do I apply for OPT jobs at Oregon State University?
Apply through Oregon State University's official careers portal and clearly indicate your OPT authorization status and EAD expiration date in your application. Connect with OSU's HR or international office early to confirm E-Verify participation. Use Migrate Mate to identify which OSU departments have a track record of hiring and transitioning OPT employees to H-1B.
How do I time my OPT application around Oregon State University's hiring process?
You can apply for OPT up to 90 days before your program end date, but USCIS processing can take several weeks. Oregon State University's academic hiring cycles typically peak in fall and spring, so coordinate your EAD start date with those windows. Applying too early or too late relative to OSU's posting schedule can leave you with authorization gaps.
Does Oregon State University support the OPT-to-H-1B transition?
Oregon State University has sponsored H-1B visas for employees across research, technology, and academic roles. Not every OPT hire leads to H-1B sponsorship, so it's worth discussing long-term visa support during the offer negotiation stage. OSU's cap-exempt status as a nonprofit educational institution means H-1B petitions can be filed year-round without lottery eligibility constraints.
How does Oregon State University hire OPT students?
OPT is work authorization granted directly to F-1 students after graduation — no employer petition is required. Oregon State University can hire OPT students as soon as their EAD card is approved. STEM degree holders can extend OPT by 24 months when their employer is enrolled in E-Verify. Most companies that hire OPT students also support the transition to H-1B when the student's OPT period is ending. Check Oregon State University's individual postings on Migrate Mate to confirm OPT acceptance per role.