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Data Processor Jobs in Remote, OR (NOW HIRING)

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 ...

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 ...

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 ...

Data Scientist

OR · On-site +1

Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes. * Proficient in data mining ...

Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes. * Proficient in data mining ...

Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes. * Proficient in data mining ...

Sr. Data Analytics Engineer

OR · Remote

$117K - $140K/yr

Data formatting and processing to build the foundation layer for dashboards and self-service reporting. Work on data transformation, using the ETL tools. Build dimension views and fact tables.

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Data formatting and processing to build the foundation layer for dashboards and self-service reporting. Work on data transformation, using the ETL tools. Build dimension views and fact tables.

Applied AI Scientist

OR · On-site

$128K - $215K/yr

Demonstrated experience designing and delivering end-to-end ML pipelines , including data processing, training automation, evaluation frameworks, and scalable inference. * Hands-on experience ...

Phlebotomist/Processor

Roseburg, OR · On-site

$17 - $23.02/hr

Accurate data management: Verifying specimen information, performing data entry, and properly identifying patient information. * Specimen handling: Receiving, processing, and packaging samples for ...

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Own CI/CD deployment pipelines and release management processes. * Drive engineering best practices ...

Automate Reporting & Processes: Design scalable analytics solutions, automated reporting, and ... Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics ...

Develop and maintain automation scripts for data migration, payload generation, fallout handling, and reconciliation processes. * Build and support data integration pipelines across source ...

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Data Processor information

See Remote, OR salary details

$12

$20

$34

How much do data processor jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data processor in Remote, OR is $20.25, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

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.

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 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.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 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. Many roles also offer 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 consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.

What job categories do people searching Data Processor jobs in Remote, OR look for?

The top searched job categories for Data Processor jobs in Remote, OR are:

What cities near Remote, OR are hiring for Data Processor jobs?

Cities near Remote, OR with the most Data Processor job openings:

Infographic showing various Data Processor job openings in Remote, OR as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 49% In-person, 16% Hybrid, and 35% Remote job distribution, with an average salary of $42,112 per year, or $20.2 per hour.

Senior Data Scientist

OR • Remote

Full-time

Re-posted 14 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.