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Remote Data Processing Jobs in Oregon (NOW HIRING)

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 ...

Under Armour, Inc.

Sr. Data Steward

OR · On-site +1

$75K - $100K/yr

Gather, understand, and document enterprise data process requirements, functional requirements, and ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $75,000.00-$100,000.00 USD ...

Hex Technologies

Software Engineer, Backend (Platform)

OR · On-site +1

$198K - $295K/yr

Deeply informed on industry trends around data processing, databases, and performant data ... Experience working in a remote-first team and strong communication skills in this context. This ...

Monks

Please protect your personal information during any recruitment process. While Monks may contact ... You will architect robust data engineering solutions and write production-level code to ensure data ...

Media.Monks

$130K/yr

Please protect your personal information during any recruitment process. While Monks may contact ... You will architect robust data engineering solutions and write production-level code to ensure data ...

New

Lumen Technologies

Software Developer II

OR · Remote

$67K - $90K/yr

Leverage Apache Spark and Databricks to support large-scale data processing and modernization ... Benefits Bonus Structure #LI-Remote #LI-ZM1 Requisition #: 341263 Background Screening If you are ...

Arka Infotech Inc

UI .Net Developer

Portland, OR · Remote

$53 - $69/hr

Tech with major course work in data processing, computer science, or a related field is generally ... working with remote teams. Oracle database and/or applications integration experience.

Elite Technology

Data Architect

OR · Remote

$153K - $170K/yr

Remote What You'll Do: * Define and implement the data architecture strategy for our SaaS platform ... Oversee the implementation of data integration, ETL processes, and data migration strategies.

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ... processes. * Ability to lead technical execution while communicating clearly with business and ...

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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 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 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, 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 Engineer

Senior Data Engineer

Wheelhouse

OR • On-site, Remote

$105K - $143K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

 
Job Description
Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology empowers short & mid-length stay operators, who manage single-family homes, apartment buildings, and (in some cases) hotels - a broad & massive addressable market. Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build technology to make sure the businesses that enable this lifestyle & society can thrive.
 
As a team, we enjoy shipping products our customers love, on time or ahead of schedule, while balancing work/life & having fun together. We're best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation" company, who believes that "healthy hustle" is the key to good growth.
 
At our core, we process massive amounts of data to give our clients a competitive edge. We track calendar data for over 14 million listings worldwide, ingesting the future calendar of availability and pricing for every single listing, every single day. This translates to a multi-terabyte, highly dynamic dataset.
 
We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as well as Athena, you will ensure our data pipelines are robust, scalable, and highly optimized. You will not only supervise and improve our existing daily ingestion but also design systems to integrate new data sources and seamlessly deliver this data to our core application.
 
Your mission is to guarantee the reliability, speed, and scale of our data infrastructure. You will be the technical guardian of our multi-terabyte dataset, ensuring that as we grow to track even more listings and add new data sources, our ingestion engine scales gracefully and cost-effectively without missing a beat. Our revenue management algorithms rely entirely on the daily calendar sync of these 14 million listings to price our clients' properties accurately. If our data pipelines slow down or fail, our core product cannot function.
 
We're looking for someone who:
Works independently and takes ownership: You don't wait to be told what to optimize. You treat the data infrastructure as your own product, proactively identifying areas for improvement and driving them to completion.
Thinks in systems: You understand that scaling isn't just about writing faster code; it's about how Resque, PostgreSQL, and our AWS infrastructure interact. You see the big picture and understand the cascading effects of your changes.
Stays calm under pressure: Because this daily data sync is our lifeblood, pipeline hiccups are critical. You can troubleshoot complex, multi-terabyte issues methodically and keep a cool head when the pressure is on.
Communicates technical concepts clearly: You can easily translate complex data engineering constraints and architecture decisions into plain language for the wider engineering and product teams.
Values pragmatism over perfection: You know when to invest in an elegant, long-term architectural solution, and when the business just needs a robust, practical fix to keep the daily sync running smoothly.
Is obsessed with observability: You believe a system isn't finished until it's properly monitored. You build alerts and dashboards to catch anomalies and bottlenecks before they ever impact our clients.
Is super detail oriented: You intrinsically see that certain data problems can be needles in haystacks and you are process driven to build safeguards to flag the vast majority of issues before our customers notice the same.
What you'll be doing
  • Architect, optimize, and supervise the daily ingestion pipelines that process calendar data for 14+ million listings.
  • Tune and scale our AWS RDS PostgreSQL and Aurora databases to handle extreme high-throughput read/write operations and multi-TB storage.
  • Optimize background job orchestration to ensure timely and efficient data processing.
  • Design and build robust ETL processes to integrate new, complex data sources into our ecosystem.
  • Collaborate with application engineers to make diverse versions and aggregations of our data easily accessible to the core application.
  • Apply DevOps best practices to maintain and improve our AWS infrastructure, CI/CD pipelines, and infrastructure-as-code.
  • Build comprehensive monitoring, alerting, and observability tooling to catch data bottlenecks before they impact the business.
Requirements
  • 5+ years of Data Engineering or Backend Engineering experience, specifically dealing with massive, high-velocity datasets (multi-TB scale) and 10+ years overall engineering experience at technology companies.
  • Deep database expertise: Advanced knowledge of relational databases, specifically PostgreSQL and AWS Aurora. You must know how to tune databases, optimize complex queries, and manage large-scale indexing.
  • Strong programming skills: Proficiency in Ruby and Ruby on Rails (or a strong willingness to learn, backed by expert-level experience in a similar language like Python) to navigate our core stack.
  • Job Orchestration: Experience with background processing frameworks at scale (Resque, Sidekiq, Celery, or similar).
  • DevOps & Cloud: Hands-on experience with AWS cloud services, infrastructure provisioning (Terraform/CloudFormation), and CI/CD pipelines.
  • Data Modeling: Strong ability to design data models that balance fast ingestion with efficient application querying.
  • Problem Solver: A track record of identifying performance bottlenecks in complex distributed systems and implementing elegant solutions.
  • Remote DNA: Demonstrated ability to work autonomously, communicate asynchronously, and manage your own "healthy hustle."
Why Join Us
  • Own the big data pipelines in a fast-growing SaaS company.
  • Directly improve the reliability and usability of our product.
  • Enjoy the power to shape your own projects and help set the direction for new development.
  • Collaborative, small-team environment where your impact is highly visible
Perks and Benefits
  • The expected base salary range for this position is between $156,000 and $180,000 depending on experience.
  • Competitive salary, cash bonus potential and equity
  • Full medical, dental, and vision benefits for each US employee
  • Fidelity 401k available for each US employee
  • Unlimited PTO
  • And...more!

Apply