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Business Intelligence Engineer Jobs in Oregon (NOW HIRING)

... Datawarehouse & Business Intelligence Infrastructure & Network Services Risk Management ... Some software programming in C/C++ Mix of HW and SW skills is a big plus. UX Engineer Start Date ...

... Datawarehouse & Business Intelligence Infrastructure & Network Services Risk Management ... Some software programming in C/C++ Mix of HW and SW skills is a big plus. UX Engineer Start Date ...

DevOps Team Lead

Portland, OR ยท On-site

$56 - $76.50/hr

Finally, they have programming experience, developing custom tools and applications to ... Ready to join a thriving tech company that's redefining digital archiving and business intelligence?

Data Engineer, Staff

Newberg, OR ยท On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Data Engineer, Staff

Newberg, OR ยท On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Showing results 41-60

Business Intelligence Engineer information

See Oregon salary details

$30

$60

$84

How much do business intelligence engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for business intelligence engineer in Oregon is $60.32, according to ZipRecruiter salary data. Most workers in this role earn between $51.83 and $67.36 per hour, depending on experience, location, and employer.

What is a business intelligence engineer?

Business Intelligence Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, analyze, and interpret data. They create dashboards, reports, and data models that enable business leaders to make informed decisions. Their work typically involves data warehousing, ETL (extract, transform, load) processes, and the use of tools such as SQL, Power BI, or Tableau. BI Engineers bridge the gap between raw data and actionable business insights, playing a crucial role in data-driven organizations.

What are the key skills and qualifications needed to thrive as a business intelligence engineer, and why are they important?

To thrive as a Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and a background in computer science or a related field. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as certifications in these platforms, are highly valuable. Excellent problem-solving abilities, effective communication, and attention to detail help you translate complex data into actionable business insights. These skills ensure accurate data analysis and reporting, empowering organizations to make data-driven decisions.

How does a business intelligence engineer typically collaborate with data analysts and business stakeholders?

Business Intelligence Engineers work closely with data analysts to design and optimize data models, build robust data pipelines, and ensure accurate reporting. They also engage with business stakeholders to understand their data needs, translate requirements into technical solutions, and provide actionable insights that support decision-making. Regular collaboration involves meetings to review project progress, clarify business objectives, and adjust deliverables based on feedback, fostering a dynamic and cross-functional team environment.

What is the difference between Business Intelligence Engineer vs Data Analyst?

AspectBusiness Intelligence EngineerData Analyst
CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Statistics, Math, or related field; SQL, Excel
Work EnvironmentDevelops data pipelines, dashboards, reports; collaborates with IT and business teamsAnalyzes data, creates reports, visualizations; works closely with business units
Industry UsageUsed across tech, finance, healthcare for data infrastructureCommon in marketing, finance, retail for insights and reporting

Business Intelligence Engineers focus on building data infrastructure, pipelines, and dashboards to enable data-driven decisions. Data Analysts interpret data, generate reports, and provide insights. Both roles require SQL and data visualization skills but differ in scope and responsibilities.

How much does a business intelligence engineer make?

The average salary for a business intelligence engineer in the United States ranges from $80,000 to $130,000 per year, depending on experience, location, and industry. Professionals with skills in data analysis, SQL, and tools like Tableau or Power BI tend to earn higher salaries, especially with advanced certifications or experience in large organizations.

What do business intelligence engineers do?

Business intelligence engineers analyze data to help organizations make informed decisions by designing and maintaining data pipelines, dashboards, and reports. They often use tools like SQL, data visualization software, and programming languages such as Python or R to extract, process, and interpret large datasets.

What are the most commonly searched types of Business Intelligence Engineer jobs in Oregon?

The most popular types of Business Intelligence Engineer jobs in Oregon are:

What are popular job titles related to Business Intelligence Engineer jobs in Oregon?

For Business Intelligence Engineer jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Business Intelligence Engineer job openings in Oregon as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $125,457 per year, or $60.3 per hour.

SharePoint Developer

Avani Technology Solutions, Inc.

Portland, OR โ€ข On-site

$51.50 - $67.25/hr

Contractor

Re-posted 28 days ago


Job description

  • Season SharePoint Developer and individual contributor
  • Strong background on business reporting, dashboard creation, form creation, and data visualization
  • Ability to collect and analyze business processes data and transform them into meaningful reports and dashboards to provide business insights to Senior Leadership.
  • Strong Knowledge on data ingestion, data transformation, data comparison, data quality management, and data repository development
  • Good understanding of Business Intelligence
  • Scripting experience - in Visual Basic, C#, .NET Framework, and Python
  • PMO, Finance, and HR experiences would be preferred.