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Intern Business Intelligence Engineer Jobs in Oregon

Data Engineer

Beaverton, OR

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

... 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 · 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?

Showing results 41-60

Intern Business Intelligence Engineer information

See Oregon salary details

$11

$20

$31

How much do intern business intelligence engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for intern business intelligence engineer in Oregon is $20.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.12 per hour, depending on experience, location, and employer.

What does an intern business intelligence engineer do?

An Intern Business Intelligence Engineer assists with collecting, analyzing, and interpreting data to help organizations make informed business decisions. Their responsibilities often include building dashboards, preparing reports, and supporting data warehouse management under the guidance of senior BI engineers. They may also help with data cleaning, automation of data processes, and learning how to use BI tools such as Tableau, Power BI, or SQL. The role is ideal for students or recent graduates interested in data analysis and business strategy. Interns gain hands-on experience in real-world business data environments.

What are the key skills and qualifications needed to thrive as an intern business intelligence engineer?

To thrive as an Intern Business Intelligence Engineer, you need strong analytical skills, a foundation in data analysis, and familiarity with SQL, data modeling, or statistics, often supported by coursework in computer science, information systems, or a related field. Proficiency with BI tools such as Tableau, Power BI, or Looker, and basic knowledge of programming languages like Python or R, are typically expected. Attention to detail, problem-solving ability, and effective communication will help you translate complex data insights into actionable business recommendations. These skills and qualities are vital for transforming raw data into meaningful information that drives informed business decisions.

What types of projects and responsibilities can an intern business intelligence engineer expect during their internship?

As an Intern Business Intelligence Engineer, you’ll typically assist with designing, developing, and maintaining data models, dashboards, and reports that support business decision-making. Your daily tasks may include analyzing large data sets, working with SQL or data visualization tools, and collaborating closely with data analysts, engineers, and business stakeholders. Interns often get hands-on experience with real-world business problems, learn best practices in data management, and may even contribute to process automation or reporting improvements. This role provides a valuable opportunity to develop technical skills, gain exposure to industry-standard BI tools, and understand how data-driven insights influence business strategies.

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

AspectIntern Business Intelligence EngineerData Analyst Intern
Required SkillsSQL, data modeling, BI tools, basic programmingExcel, SQL, data visualization, statistical analysis
Work EnvironmentDeveloping dashboards, data pipelines, supporting BI solutionsData cleaning, reporting, analyzing datasets
Industry UsageTech, finance, consulting firms with BI teamsMarketing, retail, healthcare sectors

Intern Business Intelligence Engineers focus on building and maintaining BI tools and data pipelines, often requiring knowledge of SQL and data modeling. Data Analyst Interns primarily analyze datasets and create reports using Excel and visualization tools. Both roles are common in data-driven industries but differ in technical scope and responsibilities.

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 job categories do people searching Intern Business Intelligence Engineer jobs in Oregon look for?

The top searched job categories for Intern Business Intelligence Engineer jobs in Oregon are:

Infographic showing various Intern Business Intelligence Engineer job openings in Oregon as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $42,476 per year, or $20.4 per hour.

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

As our Data Engineer, you’ll help drive Concora Credit’s Mission to enable customers to Do More with Credit – every single day.

The impact you’ll have at Concora Credit:

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the organization.

You’ll serve as a technical leader responsible for data platform governance, feature enablement, and engineering best practices while partnering closely with teams across the enterprise to ensure our data ecosystem remains secure, scalable, cost-efficient, and easy to use.

We’re grounded in innovation and entrepreneurship, and we're looking for someone who enjoys solving complex technical challenges, influencing platform strategies, and enabling others to be successful through scalable data solutions and thoughtful governance.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We’re an established company with over 20 years of experience, but now we’re taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.


As our Data Engineer, you will:

  • Help design, develop, and optimize scalable data pipelines and data solutions using Databricks, PySpark, SQL, and Python.
  • Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI.
  • Help establish and maintain data engineering standards, governance, security, and best practices across the Azure and Databricks platforms.
  • Evaluate new Databricks capabilities and recommend adoption strategies, standards, and implementation patterns.
  • Monitor, troubleshoot, and optimize data pipelines and platform performance for reliability, scalability, and cost efficiency.
  • Partner with cross-functional teams to solve complex data challenges and provide technical guidance on data architecture and engineering best practices.
  • Mentor junior engineers and contribute to a culture of technical excellence and continuous improvement.

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.


Requirements:

  • 3+ years of experience in Data Engineering, Data Platform Engineering, or a related field.
  • Strong hands-on experience with Databricks required, as well as Apache Spark, PySpark, Python, SQL, Azure Data Lake Storage, and Delta Lake.
  • Deep understanding of distributed data processing and large-scale data architectures.
  • Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data Management concepts.
  • Strong understanding of modern table formats and storage architecture.
  • Experience with performance optimization techniques.
  • Experience implementing CI/CD and infrastructure automation using tools.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to operate independently while leading initiatives in a fast-paced, agile environment.
  • Passion for building scalable, maintainable, and well-governed data platforms.

Preferred Qualifications:

  • Experience with Unity Catalog, Databricks Workflows, Delta Live Tables / Spark Declarative Pipelines, Structured Streaming, Kafka or Event Hubs.
  • Experience implementing data governance frameworks and cloud security best practices.
  • Experience with RBAC, ABAC, data classification, auditing, and compliance controls.
  • Experience supporting self-service analytics platforms and integrating Databricks with Power BI or other analytics tools.
  • Experience evaluating and adopting emerging cloud and data platform technologies.
  • Experience creating engineering standards, reference architectures, and operational best practices for enterprise data platforms.
  • Experience building and delivering internal training or enablement programs for technical platforms.

What’s In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.


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