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Data Engineering Jobs in Oregon (NOW HIRING)

Financial Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Financial Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Mentor team members and promote best practices in data engineering and modeling. You have what it takes if you have: * 10+ years of experience in data engineering, analytics, or BI in an enterprise ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

Mentor team members and promote best practices in data engineering and modeling. You have what it takes if you have: * 10+ years of experience in data engineering, analytics, or BI in an enterprise ...

Data Engineer (L5)

OR ยท On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics. These solutions can range from batch data pipelines that ...

OR ยท On-site

$114K - $137K/yr

Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies * Architecting, deploying, and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

OR ยท On-site

$105K - $143K/yr

Manager of Data Engineering What You'll Do: * Architect for the Future: Optimize our existing Snowflake architecture, establishing strict environmental isolation and scalable structures that prepare ...

Director, Data Platforms & Engineering Location: United States (Remote) Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana ...

OR

$180K - $200K/yr

This role requires strong technical depth in data engineering, comfort operating in ambiguous problem spaces, and the ability to influence across engineering and product teams. * Design, build, and ...

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Data Engineering information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do data engineering jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data engineering in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Oregon? The most popular types of Data Engineering jobs in Oregon are:
What are popular job titles related to Data Engineering jobs in Oregon? For Data Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Oregon look for? The top searched job categories for Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Data Engineering jobs? Cities in Oregon with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.
Financial Data Engineer

Financial Data Engineer

Concora Credit Inc.

Beaverton, OR โ€ข On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Overview

As our Financial 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:

As a Financial Data Engineer, your primary role will be to build and optimize foundational data marts and reporting packages, become an expert on how Finance utilizes data, and find areas to improve business processes that support reporting and analysis across the Finance Department. You will also partner with non-data users to deliver solutions by understanding the underlying data and its usage.

With the support of subject matter experts and other senior engineers, this role will combine the technical skills of data engineering with internal business knowledge to build end-to-end data pipeline architecture, data flows, data transformations, and clear documentation.

This position offers growth opportunities with a heightened level of independence for someone passionate about understanding how data is used, creating optimized processes, and testing and improving data pipelines.

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.

Responsibilities

As our Financial Data Engineer, you will:

  • Create and manage large, complex data sets that meet business requirements and serve as the foundation behind analytics and management reporting, informing critical decision-making across the Finance Department.
  • Partner with non-data users to deliver solutions by becoming an expert on our financial data.
  • Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source tools as required, with support of Engineers and Sr. Engineers.
  • Maintain high-quality documentation about data structures in the shared data governance tool for the business to access.
  • Become an expert on the complete data cycle for finance from ingestion to reporting.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.
  • Assist in the creation and development of reports or dashboards by building scalable, high-quality data sets.

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.

Qualifications

Requirements:

  • Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent professional experience.
  • Experience with the following tools: SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or Apache Spark for batch and streaming.
  • Experience building and optimizing data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Quick learner with intellectual curiosity to understand a dynamic and complex business.
  • Strong attention to detail and ability to self-review work products are critical.
  • Excellent written and verbal communication skills, including the ability to communicate with senior executives.
  • Able to handle and prioritize multiple tasks simultaneously and deliver results in a timely manner.

Preferred Qualifications:

  • Experience with Financial Services companies is preferred but not required.
  • 2+ years of experience in a Data Engineer role.

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
  • 401kย (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.

Employment Type: FULL_TIME