Data Analytics Engineer Visa Sponsorship Jobs in Oregon
Oregon's data analytics engineer market centers on Portland's growing tech sector, with employers like Nike, Intel, and Daimler Trucks North America regularly hiring for data-intensive roles. Beaverton and Hillsboro extend the corridor through semiconductor and manufacturing analytics. Many Oregon employers sponsor H-1B visa and other work visas for qualified data analytics engineers.
Find Data Analytics Engineer JobsOverview
Showing 5 of 59+ Data Analytics Engineer Jobs in Oregon with Visa Sponsorship


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 59+ Data Analytics Engineer Jobs in Oregon with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs in Oregon with Visa Sponsorship.
Get Access To All Jobs
The Opportunity
The Data & Financial Analyst turns business data into trusted, decision-ready insight for PAE. This role owns recurring and ad hoc reporting, BI dashboards, data validation, and KPI visibility across key business systems. The analyst combines strong financial acumen with data management and visualization expertise to make performance trends, risks, and opportunities easy to see and act on. Success in this role means building scalable, reliable reporting that supports PAE’s growth.
Who We Are
PAE is an engineering and design firm that turns complex challenges into reality. By leveraging the latest technologies, we solve problems in unique ways, and our designs enable buildings and communities to be more resilient and efficient. PAE is trusted by our clients in every aspect of a project's lifespan, from idea to occupancy. We set ambitious goals backed by analysis to significantly conserve water and energy while balancing costs and long-term operational needs. As a B Corp, we measure success by the benefits our projects provide to our clients, our communities, and our planet. We embrace innovation, transparency, sustainability, and lifelong curiosity.
- Work with PAE stakeholders to identify opportunities to utilize data and intelligence to drive business solutions
- Develop interactive reports, calculators, and dashboards using data visualization tools and techniques that inform decision-making
- Develop and maintain standardized datasets, master data, metric definitions, and reporting logic to improve consistency and trust in business data
- Build, maintain, and publish recurring dashboards, scorecards, and reports in Power BI and Excel
- Partner with Finance, EE, Marketing, IS, and other stakeholders to define reporting needs and dashboard priorities
- Pull, combine and audit data from multiple systems, including Deltek VantagePoint (DVP) project and marketing databases, spreadsheets, and other business applications
- Support monthly and quarterly reporting cycles through analysis, reconciliations, variance explanations, and management reporting
- Perform data integrity audits and partner with system owners and subject matter experts to resolve gaps
- Create ad hoc analyses and models to support forecasting, scenario planning, project performance reviews, revenue and backlog tracking, and marketing or business development decisions
- Document data sources, business rules, and report definitions so the function scales beyond one person
- Train end users on dashboards and reporting tools to increase adoption and self-service
- Identify opportunities to automate reporting to reduce manual efforts
- Perform other duties as assigned
What You Bring
- Bachelor’s degree in finance, accounting, or business related field, or equivalent experience
- 3-5 years of relevant experience in financial analysis, business intelligence, data analytics, or a similar cross-functional reporting role
- Demonstrated experience building executive reporting and dashboards in Power BI
- Experience working with project, financial, and operational data across multiple systems
- Experience developing interactive reports, calculators, and dashboards using data visualization tools (Tableau, Power BI, etc.) and techniques, and familiarity with the limitations and strengths between them
- Proficient in Excel, including Power Query, pivot tables, complex formulas, charts, lookups, and financial modeling
- Experience using languages (Python, R, Java, SQL, etc.) to manipulate data and draw insights from large data sets
- Experience with data cleansing, normalization, master data management, and data quality control
- Strong financial and business analysis skills, including forecasting, variance analysis, KPI development, and scenario modeling
- High attention to detail, strong prioritization, and comfort working in a fast-paced, evolving environment
- Preferred: Deltek/DPS or Vantagepoint, SSRS, MS Access, Data Factory, APIs/ODBC, Newforma, and project-based/AEC experience
- Models curiosity, accountability, collaboration, and service - able to work across teams, translate messy data into clear decisions, and raise confidence in the numbers
What We Offer
- Hiring Base Salary Range: $59,700-$77,600 annual
- This position is eligible for time and a half overtime pay
The base salary is one component of PAE’s competitive compensation package for employees. We take into consideration a variety of factors including but not limited to skills, abilities, experience, education, credentials, internal equity and geographic location in determining exact salary offered. At PAE, employees are eligible for annual compensation reviews based on performance and business needs. The above range represents PAE's good faith and reasonable estimate of the range of possible compensation at the time of posting.
In addition, PAE offers a comprehensive benefits package which includes the following:
- Employer paid health insurance (medical, dental, vision)
- Annual 401k profit sharing based on company profit for the year and account contribution
- Professional development reimbursements including state registration and professional association dues
- Employer paid commuter/parking stipend
- Cell phone stipend
- Life insurance and disability benefits
- Hybrid work schedule
- Employee Assistance Program
- 9 paid holidays including an additional employee-selected day
- Paid time off for sick leave, family leave, community service, holidays and vacation
Our commitment to pay equity
PAE is a JUST label certified company; we demonstrate JUST label requirements within pay equity. Pay scales should meet or exceed applicable legislated wage requirements and industry standards and compensate, on the same basis, all individuals performing the same or similar work and work of equal value. We are committed to the principle of pay equity – paying employees equitably for substantially similar work.
To find out more visit our website.
What We’re Made Of
Founded in 1967, PAE is a leading sustainable engineering and consulting firm on a mission to deliver clean air, energy, and water for all. We specialize in mechanical, electrical, and plumbing engineering, building performance analysis, technology design, and lighting design (LUMA). PAE designs some of the nation's highest-performing and most regenerative built environments across the U.S., from Living Buildings to all-electric buildings and beyond.
Our portfolio includes over 100 LEED Platinum projects as well as dozens of projects that have either achieved or are pursuing the Living Building Challenge, Passive House, Architecture 2030, Carbon Neutral, Net Zero Energy, and Net Zero Water.
Fine Print
Please note that resumes received from third party recruiters or agencies will not be accepted unless requested directly by PAE Talent Acquisition and with a prior signed fee agreement. If candidates without a previously signed recruiter fee agreement are submitted, PAE reserves the right to engage with and hire those candidate(s) without any obligation financial or otherwise to the recruiter or agency.
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at PAE will be based on merit, qualifications and abilities. PAE does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender (sex), national origin, age, veteran status, sexual orientation, gender identity, physical characteristics historically associated with race, disability, genetic information or any other characteristic protected by applicable law.
PAE will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship. This policy governs all aspects of employment including: selection, job assignment, compensation, discipline, termination and access to benefits and training.
LI-hybrid
Please include the words "blue crayon" in the first sentence of your cover letter to be considered for this role.
Data Analytics Engineer Job Roles in Oregon
See all 59+ Data Analytics Engineer Jobs in Oregon
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Analytics Engineer Jobs in OregonData Analytics Engineer Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for data analytics engineers?
Oregon's largest visa sponsors for data and analytics roles include Intel, Nike, Precision Castparts, and Daimler Trucks North America. Portland-area technology firms and several healthcare analytics companies such as Providence Health and OHSU also have documented sponsorship histories. Larger enterprises with established HR and legal infrastructure are generally the most consistent sponsors for data analytics engineer positions.
Which visa types are most common for data analytics engineer roles in Oregon?
The H-1B is the most common visa for data analytics engineers in Oregon, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates from Australia may be eligible for the E-3 visa. Those with Canadian or Mexican citizenship may qualify under the TN visa category. L-1B transfers are also used by multinational employers moving specialized staff to Oregon offices.
Which cities in Oregon have the most data analytics engineer sponsorship jobs?
Portland accounts for the largest share of data analytics engineer sponsorship activity in Oregon, driven by its concentration of technology, healthcare, and retail analytics employers. The Beaverton-Hillsboro corridor is particularly active due to Intel's large campus and associated supplier ecosystem. Eugene has a smaller but growing presence, partly connected to the University of Oregon and regional tech hiring.
How to find data analytics engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data analytics engineer roles in Oregon without sorting through positions that don't offer sponsorship. You can filter by location and role type to focus on Oregon employers who have sponsored work visas for data analytics engineers previously, saving significant time compared to unfiltered job searching.
Are there any Oregon-specific considerations for data analytics engineers seeking visa sponsorship?
Oregon employers sponsoring H-1B workers must meet Department of Labor prevailing wage requirements for the Portland-Vancouver-Hillsboro metropolitan area, which reflects the region's competitive tech hiring market. Oregon State University and the University of Oregon produce a consistent pipeline of analytics talent, so employers in college towns like Corvallis and Eugene may be more familiar with OPT-to-sponsorship transitions. Intel's Hillsboro campus is one of the state's most active H-1B filers and a significant entry point for data engineering careers in Oregon.
What is the prevailing wage for sponsored data analytics 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.