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Data Processor Jobs in Oregon (NOW HIRING)

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

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 ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

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 ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

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 ...

Sales Data Analyst

Medford, OR · On-site

$70K - $80K/yr

Include root cause research and descriptive summaries to identify process breakdowns. * Gather pertinent data from large datasets and organize it logically. Apply ETL (Extract, Transform, Load ...

Finance Processor

Hillsboro, OR · On-site

$22 - $24/hr

The Finance Processor plays a crucial role in organizing and processing financial data from sales representatives while managing diverse administrative and client support tasks. This position ...

Proficiency with Python or Scala for data processing; strong SQL for analytical querying against ... large, event-driven datasets. * Hands-on experience with Jira and at least two of the following:

The Finance Processor plays a crucial role in organizing and processing financial data from sales representatives while managing diverse administrative and client support tasks. This position ...

Senior Data Architect

$67.25 - $90/hr

Establish and lead data integration frameworks, including APIs, ETL processes, and interoperability standards across multiple systems (e.g., clinical, operational, performance). * Partner 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 ...

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Defines and manages SLAs and data quality for datasets and processes. * Designs, implements, tests, deploys, and maintains stable, secure, and scalable data engineering solutions and pipelines in ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Defines and manages SLAs and data quality for datasets and processes. * Designs, implements, tests, deploys, and maintains stable, secure, and scalable data engineering solutions and pipelines in ...

Data Center Project Manager

Portland, OR · On-site

$125K - $130K/yr

Evaluates and makes recommendations on Data Center equipment and processes. * Offers recommendations for increased reliability of all systems. Qualifications Education: * PMP certification is ...

Processor

Hermiston, OR · On-site

$41K - $57K/yr

Guide customers through the loan application process * File loan applications and supporting documents * Develop referral networks to locate prospects for loans * Handle customer complaints and take ...

Showing results 41-60

Data Processor information

See Oregon salary details

$12

$21

$36

How much do data processor jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data processor 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 the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

How much does a data processor earn?

The average salary for a data processor in the United States ranges from $30,000 to $50,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Salaries are often complemented by benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
What cities in Oregon are hiring for Data Processor jobs? Cities in Oregon with the most Data Processor job openings:
What are popular job titles related to Data Processor jobs in OR? For Data Processor jobs in OR, the most frequently searched job titles are:
Infographic showing various Data Processor job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,568 per year, or $21.4 per hour.

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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

Overview
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.
Responsibilities
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.
Qualifications
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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