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Remote Data Processing Jobs in Oregon (NOW HIRING)

$114K - $137K/yr

... Remote and requires U.S. Citizenship Experience with the Department of Energy (DOE) is required ... You will work closely with cross-functional teams to ensure data is collected, processed, and made ...

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 ...

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. ...

Work extensively with Databricks and various AI toolings for large-scale data processing and ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Drive process improvements and ensure regulatory and SOP compliance. Who We're Looking For Ideal ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Drive process improvements and ensure regulatory and SOP compliance. Who We're Looking For Ideal ...

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 ...

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Remote Data Processing information

See Oregon salary details

$12

$21

$36

How much do remote data processing jobs pay per hour?

As of Jul 11, 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 cities in Oregon are hiring for Remote Data Processing jobs? Cities in Oregon with the most Remote Data Processing job openings:
Infographic showing various Remote 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.
Data Engineer, Databricks

$114K - $137K/yr

Full-time

Posted 15 days ago


Job description

KeyLogic is seeking Databricks Engineers to join our growing team supporting the Department of Energy (DOE)

The position is Remote and requires U.S. Citizenship

Experience with the Department of Energy (DOE) is required

Position Requirements:

  • U.S. Citizenship
  • Experience with the Department of Energy (DOE)

Position Description:

As a Data Engineer in this role, you will be responsible for designing, building, and maintaining robust data pipelines that support the organization's analytical and operational needs. You will work closely with cross-functional teams to ensure data is collected, processed, and made available in a reliable and scalable manner. Leveraging your expertise, you will optimize data workflows and implement best practices for data integration, transformation, and storage. Your contributions will directly impact the efficiency and effectiveness of data-driven decision-making across the business.
To excel in this position, you will utilize tools such as Databricks for advanced data processing and analytics, and Terraform for infrastructure automation and management. Familiarity with cloud-based environments, version control systems, and CI pipelines will further enhance your ability to deliver high-quality solutions. Experience with large-scale data architectures, real-time data streaming, and performance tuning will help you address complex challenges and drive continuous improvement. Your background in collaborating with diverse technical teams and managing end-to-end data solutions will be instrumental in achieving success in this dynamic environment.

Position Responsibilities:

  • Design, build, and maintain scalable data pipelines using Databricks
  • Develop and implement infrastructure as code solutions with Terraform
  • Collaborate with cross-functional teams to understand data requirements and deliver robust solutions
  • Optimize data workflows for performance, reliability, and scalability
  • Monitor, troubleshoot, and resolve issues related to data processing and infrastructure
  • Ensure data quality and integrity throughout the data lifecycle
  • Automate repetitive tasks to improve efficiency and reduce manual intervention
Employment Type: Full time