Cloud Data Engineer Visa Sponsorship Jobs in Oregon
Oregon's cloud data engineer market is anchored by Nike's global tech campus in Beaverton, Intel's massive Hillsboro presence, and a growing Portland tech corridor with companies like Daimler Truck North America and Precision Castparts. Visa sponsorship is common in this sector, particularly for H-1B roles requiring cloud architecture expertise across AWS, Azure, and GCP.
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Get Access To All JobsINTRODUCTION
Hybrid (In office 3 days/week) within Oregon, Washington, Idaho, or Utah. Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.
ABOUT THE ROLE
Every day, Cambia’s Data & Analytics Engineering team is living our mission to make health care easier and lives better. The Data & Analytics Engineering team is seeking a senior technical leader with deep expertise in dimensional modeling, semantic layer engineering, and analytics enablement, combined with a strong ability to influence architecture, mentor senior engineers, and partner with product, architecture, and business leaders. This leader thrives in ambiguous problem spaces, sets direction where none exists, and makes long-term platform decisions that balance scalability, governance, and usability. Experience designing and implementing semantic layers is critical. If you have hands-on experience with tools such as Snowflake semantic views, AtScale semantics, dbt semantics, Microstrategy Architect / Semantic Graph, or Business Objects Universes, and thrive on variety and challenge in your work, we encourage you to apply. If you’re a motivated and experienced Senior Data Engineer with a consultant’s mindset and a passion for building semantic layers and analytics platforms, we want to hear from you.
WHAT YOU BRING TO CAMBIA
Preferred Key Experience:
- Experienced technical leader with deep expertise in dimensional modeling, semantic layer design, and analytics enablement.
- Strong background in building and optimizing data pipelines.
- Excellent SQL skills, and hands-on expertise with Snowflake, dbt or other ETL tools, and modern ETL/ELT practices.
- Adept at breaking down work, leading and mentoring Data Engineers, and delivering scalable, high-quality data solutions in complex enterprise environments.
- Experience developing, implementing, refining, and troubleshooting semantic layers.
- Hands-on experience with at least one enterprise semantic technology (e.g., Snowflake semantic views, AtScale, dbt semantics, MicroStrategy, Business Objects).
- We strongly prefer candidates with a broad range of experience—such as that gained through consulting roles or cross-functional project work—who can bring fresh perspectives and innovative solutions to our data ecosystem.
QUALIFICATIONS AND CERTIFICATIONS
- Bachelor’s degree in computer science, Mathematics, Business Administration, Engineering, or a related field.
- 8 years relevant experience in a multi-platform environment, including, but not limited to application development or database development.
- At least 2 years working with Snowflake or similar cloud data platforms.
- Equivalent combination of education and experience.
REQUIRED EXPERIENCE
Skills and Attributes (Not limited to):
- Senior or principal-level experience in Data Engineering or Data Platform Engineering.
- Deep expertise in dimensional modeling, semantic layer design, and analytics enablement.
- Advanced proficiency with Snowflake, dbt, and SQL, including performance tuning at scale.
- Hands-on experience with at least one enterprise semantic technology (e.g., Snowflake semantic views, AtScale semantics, dbt semantics, MicroStrategy Architect / Semantic Graph, Business Objects Universes).
LEADERSHIP & INFLUENCE
- Proven ability to lead through influence across teams and disciplines.
- Strong mentoring and coaching skills, particularly with senior engineers.
- Demonstrated success driving standards, patterns, and long-term platform strategy.
PREFERRED EXPERIENCE
- Consulting or cross-industry background bringing diverse perspectives to complex data ecosystems.
- Experience supporting AI-enabled analytics, agentic workflows, or metadata-driven systems.
- Python development for data engineering, automation, or platform tooling.
- Experience integrating semantic layers with BI tools such as Tableau, Power BI, or Looker.
WHAT YOU WILL DO AT CAMBIA (NOT LIMITED TO)
Enterprise Technical Leadership
- Together with Engineering and Data Modeling leaders, define and evolve enterprise standards for dimensional modeling, semantic layers, and analytics-ready data platforms.
- Serve as a design authority for complex operational, analytic, data pipeline, and semantic architectures, reviewing and approving high-impact solutions.
- Guide engineers on technical solutions and techniques to optimize compute and storage cost.
Data Platform & Pipeline Excellence
- Oversee design and optimization of scalable ELT/ETL pipelines and data products, with a focus on reliability, performance, and cost efficiency.
- Drive platform observability, proactive data quality monitoring, and automated validation frameworks.
- Lead performance tuning efforts for Snowflake tables, views, materialized views, and semantic access patterns.
Semantic & Dimensional Model Engineering
- Guide the design and implementation of enterprise semantic models on Snowflake, including facts, dimensions, metrics, and governed business logic.
- Collaborate with the Data Product and Data Modeling teams to establish patterns for metric definitions, conformed dimensions, and reusable semantic assets.
- Partner with Enterprise and Domain Architects to ensure semantic consistency, interoperability, and scalability.
- Ensure semantic layers are optimized for BI tools, self-service analytics, and agentic/AI consumption.
Agentic Intelligence Enablement
- Enable trusted data foundations for agent-based analytics and AI assistants, ensuring semantic models are consumable by LLMs and analytic agents.
- Collaborate with platform and AI teams to define contracts, metadata, and observability required for intelligent agents.
- Influence responsible AI usage by embedding governance, lineage, and explainability into semantic designs.
Quality, Governance & Compliance
- Champion data governance, security, and compliance across operational, analytical, semantic, and agentic platforms.
- Ensure solutions meet healthcare and regulated-industry expectations for auditability and reliability.
The expected hiring range for The Senior Data Engineer – Data Platform and Semantic Architecture and Engineering is $114k–$135k /year depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for Semantic Data Engineer is 15%. The current full salary range for the Senior Data Engineer position is $114K - $186k/year.
ABOUT CAMBIA
Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through.
WHY JOIN THE CAMBIA TEAM?
At Cambia, You Can
- Work alongside diverse teams building cutting-edge solutions to transform health care.
- Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
- Grow your career with a company committed to helping you succeed.
- Give back to your community by participating in Cambia-supported outreach programs.
- Connect with colleagues who share similar interests and backgrounds through our employee resource groups.
We believe a career at Cambia is more than just a paycheck – and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more.
BENEFITS
In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include:
- Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
- Annual employer contribution to a health savings account.
- Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
- Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
- Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
- Award-winning wellness programs that reward you for participation.
- Employee Assistance Fund for those in need.
- Commute and parking benefits.
We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb.
We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required. If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.
INTRODUCTION
Hybrid (In office 3 days/week) within Oregon, Washington, Idaho, or Utah. Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.
ABOUT THE ROLE
Every day, Cambia’s Data & Analytics Engineering team is living our mission to make health care easier and lives better. The Data & Analytics Engineering team is seeking a senior technical leader with deep expertise in dimensional modeling, semantic layer engineering, and analytics enablement, combined with a strong ability to influence architecture, mentor senior engineers, and partner with product, architecture, and business leaders. This leader thrives in ambiguous problem spaces, sets direction where none exists, and makes long-term platform decisions that balance scalability, governance, and usability. Experience designing and implementing semantic layers is critical. If you have hands-on experience with tools such as Snowflake semantic views, AtScale semantics, dbt semantics, Microstrategy Architect / Semantic Graph, or Business Objects Universes, and thrive on variety and challenge in your work, we encourage you to apply. If you’re a motivated and experienced Senior Data Engineer with a consultant’s mindset and a passion for building semantic layers and analytics platforms, we want to hear from you.
WHAT YOU BRING TO CAMBIA
Preferred Key Experience:
- Experienced technical leader with deep expertise in dimensional modeling, semantic layer design, and analytics enablement.
- Strong background in building and optimizing data pipelines.
- Excellent SQL skills, and hands-on expertise with Snowflake, dbt or other ETL tools, and modern ETL/ELT practices.
- Adept at breaking down work, leading and mentoring Data Engineers, and delivering scalable, high-quality data solutions in complex enterprise environments.
- Experience developing, implementing, refining, and troubleshooting semantic layers.
- Hands-on experience with at least one enterprise semantic technology (e.g., Snowflake semantic views, AtScale, dbt semantics, MicroStrategy, Business Objects).
- We strongly prefer candidates with a broad range of experience—such as that gained through consulting roles or cross-functional project work—who can bring fresh perspectives and innovative solutions to our data ecosystem.
QUALIFICATIONS AND CERTIFICATIONS
- Bachelor’s degree in computer science, Mathematics, Business Administration, Engineering, or a related field.
- 8 years relevant experience in a multi-platform environment, including, but not limited to application development or database development.
- At least 2 years working with Snowflake or similar cloud data platforms.
- Equivalent combination of education and experience.
REQUIRED EXPERIENCE
Skills and Attributes (Not limited to):
- Senior or principal-level experience in Data Engineering or Data Platform Engineering.
- Deep expertise in dimensional modeling, semantic layer design, and analytics enablement.
- Advanced proficiency with Snowflake, dbt, and SQL, including performance tuning at scale.
- Hands-on experience with at least one enterprise semantic technology (e.g., Snowflake semantic views, AtScale semantics, dbt semantics, MicroStrategy Architect / Semantic Graph, Business Objects Universes).
LEADERSHIP & INFLUENCE
- Proven ability to lead through influence across teams and disciplines.
- Strong mentoring and coaching skills, particularly with senior engineers.
- Demonstrated success driving standards, patterns, and long-term platform strategy.
PREFERRED EXPERIENCE
- Consulting or cross-industry background bringing diverse perspectives to complex data ecosystems.
- Experience supporting AI-enabled analytics, agentic workflows, or metadata-driven systems.
- Python development for data engineering, automation, or platform tooling.
- Experience integrating semantic layers with BI tools such as Tableau, Power BI, or Looker.
WHAT YOU WILL DO AT CAMBIA (NOT LIMITED TO)
Enterprise Technical Leadership
- Together with Engineering and Data Modeling leaders, define and evolve enterprise standards for dimensional modeling, semantic layers, and analytics-ready data platforms.
- Serve as a design authority for complex operational, analytic, data pipeline, and semantic architectures, reviewing and approving high-impact solutions.
- Guide engineers on technical solutions and techniques to optimize compute and storage cost.
Data Platform & Pipeline Excellence
- Oversee design and optimization of scalable ELT/ETL pipelines and data products, with a focus on reliability, performance, and cost efficiency.
- Drive platform observability, proactive data quality monitoring, and automated validation frameworks.
- Lead performance tuning efforts for Snowflake tables, views, materialized views, and semantic access patterns.
Semantic & Dimensional Model Engineering
- Guide the design and implementation of enterprise semantic models on Snowflake, including facts, dimensions, metrics, and governed business logic.
- Collaborate with the Data Product and Data Modeling teams to establish patterns for metric definitions, conformed dimensions, and reusable semantic assets.
- Partner with Enterprise and Domain Architects to ensure semantic consistency, interoperability, and scalability.
- Ensure semantic layers are optimized for BI tools, self-service analytics, and agentic/AI consumption.
Agentic Intelligence Enablement
- Enable trusted data foundations for agent-based analytics and AI assistants, ensuring semantic models are consumable by LLMs and analytic agents.
- Collaborate with platform and AI teams to define contracts, metadata, and observability required for intelligent agents.
- Influence responsible AI usage by embedding governance, lineage, and explainability into semantic designs.
Quality, Governance & Compliance
- Champion data governance, security, and compliance across operational, analytical, semantic, and agentic platforms.
- Ensure solutions meet healthcare and regulated-industry expectations for auditability and reliability.
The expected hiring range for The Senior Data Engineer – Data Platform and Semantic Architecture and Engineering is $114k–$135k /year depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for Semantic Data Engineer is 15%. The current full salary range for the Senior Data Engineer position is $114K - $186k/year.
ABOUT CAMBIA
Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through.
WHY JOIN THE CAMBIA TEAM?
At Cambia, You Can
- Work alongside diverse teams building cutting-edge solutions to transform health care.
- Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
- Grow your career with a company committed to helping you succeed.
- Give back to your community by participating in Cambia-supported outreach programs.
- Connect with colleagues who share similar interests and backgrounds through our employee resource groups.
We believe a career at Cambia is more than just a paycheck – and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more.
BENEFITS
In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include:
- Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
- Annual employer contribution to a health savings account.
- Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
- Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
- Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
- Award-winning wellness programs that reward you for participation.
- Employee Assistance Fund for those in need.
- Commute and parking benefits.
We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb.
We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required. If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.
Cloud Data Engineer Job Roles in Oregon
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Search Cloud Data Engineer Jobs in OregonCloud Data Engineer Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for cloud data engineers?
Intel and Nike are among the most active H-1B sponsors for cloud data engineer roles in Oregon, with both companies filing consistently through DOL LCA disclosure data. Other Oregon-based sponsors include Amazon Web Services (which has infrastructure operations in the state), Daimler Truck North America, and financial technology firms in the Portland metro. Sponsorship activity is concentrated in Washington and Multnomah counties.
Which visa types are most common for cloud data engineers in Oregon?
The H-1B is the most common visa category for cloud data engineer roles in Oregon, as the position typically qualifies as a specialty occupation requiring a bachelor's degree in computer science, information systems, or a related field. Candidates already holding L-1B intracompany transferee status are also placed in these roles by multinationals like Intel. Australians may be eligible for the E-3 visa as an alternative to the H-1B.
Which cities in Oregon have the most cloud data engineer sponsorship jobs?
Portland and its westside suburbs, particularly Beaverton and Hillsboro, account for the large majority of cloud data engineer sponsorship activity in Oregon. Hillsboro is anchored by Intel's D1X fabrication campus and multiple technology divisions. Portland's inner eastside and the Silicon Forest corridor also host mid-size SaaS and data infrastructure companies that sponsor cloud engineering roles. Eugene and Corvallis see limited but occasional activity tied to university-adjacent startups.
How to find cloud data engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse cloud data engineer roles in Oregon without sorting through positions that don't offer sponsorship. You can narrow results to the Portland metro, Beaverton, or Hillsboro depending on your target employer. Because Oregon's sponsoring employers include large multinationals and mid-size tech firms, Migrate Mate's filters help surface both segments efficiently.
Are there any Oregon-specific considerations for cloud data engineers seeking visa sponsorship?
Oregon's prevailing wage requirements for H-1B cloud data engineer roles are benchmarked to the Portland-Vancouver-Hillsboro metropolitan statistical area, which reflects a competitive tech labor market. Oregon State University and the University of Oregon produce a steady pipeline of data engineering graduates, and some employers in Corvallis and Eugene maintain OPT-to-H-1B hiring tracks. Oregon has no state income tax on wages below certain thresholds for nonresidents, which can be relevant for candidates on initial short-term assignments.
What is the prevailing wage for sponsored cloud 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 cloud data engineer employers are hiring and sponsoring visas in Oregon right now.
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