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Data Processor Jobs in Oregon (NOW HIRING)

Work extensively with Databricks and various AI toolings for large-scale data processing and orchestration. * Troubleshoot and resolve complex pipeline issues to ensure reliability and performance.

OR · On-site

Data Science & Machine Learning * Lead the design, development, deployment, and optimization of ... Establish monitoring processes and evaluation methodologies to ensure continued model effectiveness ...

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 and modeling the data to power analytics. These solutions can range from batch data pipelines that ...

OR · On-site

This individual will join our Bordereaux Management Product team to help ingest and process bordereaux data. This data contains critical information about policies, premiums, claims, and risk ...

Product Data Lead (Hybrid)

Portland, OR · On-site

$86K - $100K/yr

Improve data sourcing, processing, and scraping, including AI tools QUALIFICATIONS & SKILLS: * Bachelor's Degree with an emphasis in Data Analytics, Marketing, Business Administration, Information ...

Improve data sourcing, processing, and scraping, including AI tools QUALIFICATIONS & SKILLS: * Bachelor's Degree with an emphasis in Data Analytics, Marketing, Business Administration, Information ...

Processor

Hermiston, OR · On-site

$41K - $57K/yr

Guide customers through the loan application process * File loan applications and supporting documents * Develop referral networks to locate prospects for loans * Handle customer complaints and take ...

Product Data Lead (Hybrid)

Portland, OR · On-site

$86K - $100K/yr

Improve data sourcing, processing, and scraping, including AI tools QUALIFICATIONS & SKILLS: * Bachelor's Degree with an emphasis in Data Analytics, Marketing, Business Administration, Information ...

Processor

Hermiston, OR · On-site

$41K - $57K/yr

Guide customers through the loan application process * File loan applications and supporting documents * Develop referral networks to locate prospects for loans * Handle customer complaints and take ...

OR · On-site

$114K - $137K/yr

Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing. * Data Modeling & SQL Mastery: Expert-level SQL and a ...

Reviewing and processing legal documents ... Completing data entry of client information * Fulfilling customer orders with various jurisdictions

Processor

Hermiston, OR · On-site

$41K - $57K/yr

Guide customers through the loan application process * File loan applications and supporting documents * Develop referral networks to locate prospects for loans * Handle customer complaints and take ...

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

Supporting and maintaining the company's enterprise data systems and processes, including those used to store, validate, move, and monitor data across platforms * Designing and coding ETL (extract ...

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

Supporting and maintaining the company's enterprise data systems and processes, including those used to store, validate, move, and monitor data across platforms * Designing and coding ETL (extract ...

Identify opportunities to improve data processes, decision-making, and organizational effectiveness * Research industry trends and emerging capabilities to inform future-state planning * Develop ...

OR · On-site

Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables * Serve as a trusted resource for our clients and ...

OR

$85K - $108K/yr

While you'll ramp onto existing products to build familiarity with our data, methodologies, and processes, the core expectation is not maintaining the current portfolio - it's pushing the boundaries ...

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Showing results 1-20

Data Processor information

See Oregon salary details

$12

$21

$36

How much do data processor jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data processor 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?

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

Data Engineering Manager

YipitData (Alternative)

OR • On-site, Remote

Other

Retirement, PTO

Posted just now


Job description

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work at YipitData:

YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals.

From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

  • Ownership That Matters: You'll lead high-impact projects with real business outcomes
  • Rapid Growth: We compress years of learning into months
  • Merit Over Titles: Trust and responsibility are earned through execution, not tenure
  • Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention

If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for.

About The Role:
We are looking for a highly skilled Data Engineering Manager to join our Data Engineering team and play a central role in building and scaling the data pipelines and models that power YipitData's alternative data products. Reporting directly to the Senior Director of Data Engineering, this role demands technical leadership, independence, and the ability to deliver under tight deadlines in a fast-paced environment.
As a Data Engineering Manager, you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge. You'll work cross-functionally to deliver reliable, efficient, and scalable data solutions while contributing hands-on expertise in Databricks, AI, Airflow, PySpark, and SQL.
What You'll Do
  • Own the design, build, and optimization of end-to-end data pipelines for our various strategic datasets.
  • Establish and enforce best practices in data modeling, data pipelining, data architecture, and system reliability.
  • Collaborate with product, engineering, and business stakeholders to translate requirements into robust, scalable data solutions.
  • Work extensively with Databricks and various AI toolings for large-scale data processing and orchestration.
  • Troubleshoot and resolve complex pipeline issues to ensure reliability and performance.
  • Contribute to the team's technical strategy, helping drive improvements in scalability, performance, and efficiency.
  • Lead, mentor, and support engineers through challenges, code reviews, and project execution.

What We're Looking For

  • 6+ years of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering).
  • 2+ years of managerial experience, including mentoring, team leadership, and supporting delivery.
  • Strong expertise in SQL and distributed data systems.
  • Proficiency with PySpark and Databricks for processing and scaling large datasets.
  • Hands-on experience with Airflow for pipeline orchestration (Dagster/dbt a plus).
  • Proven track record of delivering in fast-paced, deadline-driven environments with minimal oversight.
  • Strong problem-solving skills and ability to translate business needs into scalable technical solutions.
  • Excellent communication and collaboration skills with both technical and non-technical stakeholders.

Nice to Have

  • Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
  • Familiarity with Django or similar web frameworks to support data-driven applications.

This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Denver or Mountain View,), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. 

As Our Data Engineering Manager You Will:

  • Working with product team to bring an idea to reality
  • Leveraging cutting edge technologies to solve complex data problems
  • Helping to lead a team through different data models and architectural decisions

You Are Likely To Succeed If:

  • Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
  • Experience building a reliable and efficient data pipelines
  • Ability to meet tight deadlines in a fast paced environment

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual salary for this position is anticipated to be up between $190,000~ $230,000, with a variable target up to 15% The compensation package also includes equity. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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