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Remote Data Processing Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · Remote

$114K - $137K/yr

Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and ... Remote

SOSi

Senior Data Scientist

OR · On-site +1

Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

... processes. As an accomplished data engineer joining the Data & Analytics team, this is a terrific ... This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ...

Netflix

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 ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Netflix

Distributed Systems Engineer (L5) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S ... This team is central to batch data processing in Data Platform. It provides support for Spark to ET ...

HealthEdge

Data Conversion Lead

Design ETL processes including data extracts, load logic, stored procedures, workflows, and data ... Remote, US Type of Employment: Full-time, permanent FLSA Classification (USA Only): Exempt Work ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

Proficiency in using data processing frameworks (e.g., Snowpipe, Fivetran), databases (e.g ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Origami Risk LLC

Senior Data Engineer

$117K - $146K/yr

Optimizes ETL/ELT processes for performance and reliability * Collaborates with analytics teams to ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Candidates will receive additional information during the interview and selection process. Position ...

UMB Financial

Data Product Manager

OR · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Designed and implemented frameworks, processes, and metrics for a data office/function within ...

NewRocket

AI Data Intelligence Lead

OR · Remote

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... Strong background in: * enterprise data modeling and architecture * large-scale data processing

NV5

Remote Sensing Technician

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... RST's configure and monitor sensor systems, track acquisition progress, download/process/ship ...

Upstart

Senior Software Engineer - Lending Platform

OR · Remote

$122K - $161K/yr

Deliver scalable data processing solutions that transform high-volume financial events into ... Position location Remote Travel requirements As a digital-first company, the majority of your work ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ... At our core, we process massive amounts of data to give our clients a competitive edge. We track ...

Upstart

Sr Software Engineer - Lending Platform

OR · Remote

$122K - $161K/yr

Deliver scalable data processing solutions that transform high-volume financial events into ... Position location Remote Travel requirements As a digital-first company, the majority of your work ...

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All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in Oregon

Remote Data Processing information

See Oregon salary details

$12

$21

$36

How much do remote data processing jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote 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.

How can I make 2000 a week working from home?

Remote data processing jobs can offer high earning potential, especially for experienced professionals who handle large datasets, use specialized tools, and meet project deadlines. To earn $2000 weekly, you may need to work multiple projects, develop strong skills in data analysis and processing, and possibly obtain relevant certifications. Consistent high-quality work and efficient time management are essential for reaching this income level remotely.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home or other remote locations. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools like spreadsheets or databases.

How to make $1000 a week remotely?

Remote data processing jobs can pay $1000 or more per week depending on experience, workload, and project complexity. To achieve this, professionals often work multiple projects, develop specialized skills in data analysis or automation, and utilize platforms that connect freelancers with clients. Consistent high-quality work and efficient time management are essential for reaching this income level.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What jobs pay 4000 a week without a degree?

Remote data processing roles can pay around $4,000 per week for experienced professionals, especially those with strong skills in data analysis, programming, or automation. These jobs often require proficiency in tools like Python, SQL, or cloud platforms and may involve freelance or contract work with flexible schedules. High earnings typically depend on expertise, project complexity, and workload volume.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
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 Remote Data Processing jobs in Oregon? For Remote Data Processing jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Oregon look for? The top searched job categories for Remote Data Processing jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Processing jobs? Cities in Oregon with the most Remote Data Processing job openings:
Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% 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.

Data Engineer

Tebra

OR • Remote

$114K - $137K/yr

Other

Posted 4 days ago

Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

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