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Data Processing Jobs in Oregon (NOW HIRING)

You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts ...

You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts ...

OR

$114.40K - $137.40K/yr

Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing. * Data Modeling & SQL Mastery: Expert-level SQL and a ...

Data Science & Machine Learning * Lead the design, development, deployment, and optimization of ... Establish monitoring processes and evaluation methodologies to ensure continued model effectiveness ...

New

This individual will join our Bordereaux Management Product team to help ingest and process bordereaux data. This data contains critical information about policies, premiums, claims, and risk ...

AI Data Engineer Senior Consultant

Portland, OR · On-site

$121.40K - $145.80K/yr

... document processing, embeddings, and vector or hybrid search in enterprise environments • 4+ years of experience in data engineering, including data modeling, batch or streaming pipelines ...

Data Engineer (L5)

OR · 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 ...

Establish and govern data quality, validation, and exception handling processes, ensuring completeness, accuracy, and traceability of data assets. * Ensure alignment of pipelines and metadata with ...

Data Engineer (L5)

OR · 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 ...

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 · On-site

Conduct and draft legal risk assessments addressing automated processing, training data use, model outputs, human-in-the-loop safeguards, cross-border considerations, and evolving regulatory ...

OR · Hybrid

$85K - $141K/yr

Experience overseeing automationready data processing workflows The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors ...

Data Engineering Manager

OR · On-site +1

$114.40K - $137.40K/yr

Work extensively with Databricks and Airflow for large-scale data processing and orchestration. * Troubleshoot and resolve complex pipeline issues to ensure reliability and performance. * Contribute ...

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Showing results 1-20

Data Processing information

See Oregon salary details

$12

$21

$36

How much do data processing jobs pay per hour?

As of May 31, 2026, the average hourly pay for data processing in Oregon is $21.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $23.65 per hour, depending on experience, location, and employer.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
What are the most commonly searched types of Data Processing jobs in Oregon? The most popular types of Data Processing jobs in Oregon are:
What cities in Oregon are hiring for Data Processing jobs? Cities in Oregon with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Oregon as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $44,568 per year, or $21.4 per hour.
Data Engineer

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Fisher Investments rating

8.4

Company rating: 8.4 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

It's an exciting time to be a member of the Fisher Investments Technology Department. We're investing in the future of our firm's technology and are building our team to achieve global growth. We are looking for a Data Engineer to support our Enterprise Data Management team. If you are looking for an opportunity to make a difference as we develop scalable and strategic solutions to support our global growth, we want to hear from you!

 

The Opportunity:

Fisher Investments is looking for a Data Engineer – Data to design and deliver modern data solutions using cloud-based platforms and AI-driven innovations. You will partner with business, technology, and governance teams to enable scalable, secure and compliant data platforms that power advanced analytics and AI. You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts, or other data repositories. You will also coordinate with other IT teams to configure and implement security, monitoring, tooling, and related capabilities as they apply to their assigned systems. You will report to the team lead of Data Delivery for our Global Private Client Group.

The Day-to-Day: 

  • Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams
  • Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems
  • Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files
  • Develop and deploy structured, semi-structured, and unstructured data storage models and dimensional data models on various platforms to meet business requirements
  • Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams
  • Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered
  • Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs
  • Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth

Your Qualifications:

  • 5+ years' experience developing data-related solutions and software
  • 5+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform
  • 2+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies
  • 2+ years of experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components
  • 2+ years of hands-on development and deployment experience with Azure cloud using T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines
  • Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software
  • Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases
  • Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar
  • Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps software
  • Bachelor's degree in Computer Science, Information Technology, or other relevant field

Compensation:

  • $90,000 - $150,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience
  • Eligible for a discretionary bonus based on firm and individual performance

Why Fisher Investments:

We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:

  • 100% paid medical, dental and vision premiums for you and your qualifying dependents
  • A 50% 401(k) match, up to the IRS maximum
  • 20 days of PTO, plus 10 paid holidays 
  • Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
  • This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. 

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER


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