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Data Processing Jobs in Oregon (NOW HIRING)

OR ยท On-site

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 ...

Data Engineering Manager

OR ยท On-site +1

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

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 ...

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 ...

Sr. Data Engineer

OR ยท On-site +1

$100K - $150K/yr

Your data-driven mindset and ability to work with large-scale data systems enable NinjaTrader to serve customers better, identify new opportunities, and improve processes. As an accomplished data ...

OR

$380K - $610K/yr

Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely ...

OR ยท On-site

$63.75 - $82/hr

Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. * Design and optimize ETL pipelines for data quality management, transformation, 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 ...

Familiarity with Python for data tasks (scripting, automation, light data processing)-no data science experience required. * Excellent communication skills, with the ability to explain technical ...

Familiarity with Python for data tasks (scripting, automation, light data processing)-no data science experience required. * Excellent communication skills, with the ability to explain technical ...

Strong background in: * enterprise data modeling and architecture * large-scale data processing * Machine learning applied to data systems * Experience with technologies such as: * Python * ML ...

$114K - $137K/yr

Oversee ETL processes to ensure their success, with the primary responsibility of providing accurate and timely data across various products to support the company's revenue generation. * Maintain ...

OR

$160K - $220K/yr

Architect, design, and implement backend services including our core API that powers our data processing and application * Write code mostly in Scala * Promote technical design and coding standards ...

Senior Data Backend Engineer

Hillsboro, OR ยท On-site

$115K - $156K/yr

The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation ...

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Data Processing information

See Oregon salary details

$12

$21

$36

How much do data processing jobs pay per hour?

As of Jul 11, 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 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 is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

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 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.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
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 are popular job titles related to Data Processing jobs in Oregon? For Data Processing jobs in Oregon, the most frequently searched job titles 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 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 $44,568 per year, or $21.4 per hour.
Senior Data Scientist with Security Clearance

Senior Data Scientist with Security Clearance

SOSi

Astoria, OR โ€ข On-site

Other

Re-posted 16 days ago


Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
* The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
* The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
* The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
* The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
* The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance.
* Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
* nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
* Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
* Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
* Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
* Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
* Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
* Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
Preferred Qualifications: * Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.