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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 ...

Senior Data Scientist

OR · On-site +1

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 ...

Sr. Data Steward

OR · On-site +1

$75K - $100K/yr

Gather, understand, and document enterprise data process requirements, functional requirements, and data quality requirements to establish trusted data sources. * Ensure the right controls are built ...

Intermediate level of experience in managing conversions involving financial institutions, data processors, ATMs, and a card base * Advanced knowledge of project management methodology * Advanced ...

New

Data Scientist

OR · On-site

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 ...

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 ...

Sr. Data Analytics Engineer

OR · On-site +1

$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 ...

We are looking for Data center Hands & Feet support - Lincoln, NE . Kindly forward me your resume, Expected pay rate and contact details for further process. You can forward this opportunity to your ...

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

Deep understanding of Web Service architecture, with exceptional skills in system tuning, performance bottleneck analysis, and resolution (e.g., handling high concurrency and massive data processing ...

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Develop and enforce IAM processes and governance frameworks, including oversight of offshore ... Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately ...

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Data Processor information

See Remote, OR salary details

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How much do data processor jobs pay per hour?

As of Jun 20, 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.

How can I make 2000 a week working from home?

A data processor can potentially earn $2,000 a week by handling high-volume data entry tasks, especially if working as a freelancer or through multiple clients. Increasing income may involve developing specialized skills, using efficient data processing tools, and working full-time hours or taking on multiple projects simultaneously.

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 is a data processor job?

A data processor is responsible for collecting, organizing, and maintaining data within computer systems or databases. The role often involves data entry, validation, and ensuring data accuracy, typically requiring attention to detail and proficiency with data management tools. Data processors may work in various industries, supporting data analysis and reporting tasks.

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 Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.

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

A data processor typically does not earn $10,000 a month without specialized skills or experience. High-paying roles that can reach this level often involve sales, real estate, or entrepreneurship, which may not require a degree but do demand significant effort, expertise, or certifications. Most jobs with such income levels are highly competitive and often require relevant skills or industry knowledge rather than formal education alone.

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 are popular job titles related to Data Processor jobs in Remote, OR? For Data Processor jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Data Processor jobs? Cities near Remote, OR with the most Data Processor job openings:

Full-time

Posted 5 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.