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Data Processing Jobs in Oregon (NOW HIRING)

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely ...

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

Develop and maintain Python code for data processing, model development, and ML pipelines, following software engineering best practices including version control, code review, and testing

Senior Data Engineer

OR · On-site +1

$105K - $143K/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 ...

Software Engineer (Senior-Staff)

OR · On-site +1

$160K - $220K/yr

Architect, design, and implement backend services including our core API that powers our data processing and application * Write code mostly in Scala * Promote technical design and coding standards ...

Establish and enforce pipeline and algorithm quality standards, including review processes ... Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring ...

Candidates will receive additional information during the interview and selection process. Position Level: The best fit candidate selected for this position will be offered a job title/level (Data ...

Designed and implemented frameworks, processes, and metrics for a data office/function within banking services. * Strong understanding of data technologies, integration, and architecture, including ...

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

Optimize large-scale distributed data processing workloads. Databricks Platform Development * Build native Databricks solutions using Spark, Delta Lake, Unity Catalog, Workflows, SQL Warehouses, and ...

Data Analyst

OR · On-site +1

An analyst here can own a data product end-to-end - from methodology to client delivery - and ... You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI ...

Data Analyst

OR · On-site +1

An analyst here can own a data product end-to-end - from methodology to client delivery - and ... You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

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 ...

Showing results 41-60

Data Processing information

See Oregon salary details

$12

$21

$36

How much do data processing jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for 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.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

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 Data Processing jobs?

Cities in Oregon with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Oregon as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $44,568 per year, or $21.4 per hour.

Data Engineer (L5) - Ads

Netflix

OR • On-site, Remote

$380K - $610K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. About the team Ads Data Engineering team sits at the core of building a data ecosystem that will power Netflix' understanding and decision making about what impact ads have on our business. This team's main focus is to build rich, connected, and easily accessible data products about ad inventories, forecasting, targeting, ad serving, pacing and much more.

We are looking for passionale, mature, and curious software engineers with strong data intuition, analytical mindset and ad ecosystem experience, to contribute to the team's impact in a quickly evolving. We are hiring for several different roles, ranging from senior to staff level for this team. Who are you.

Beyond talented, you are curious, creative, and tenacious. Sharp communicator who can break down and explain complex data problems in clear and concise language. You have an extensive background and strong technical expertise working with data at scale, experience with advertising data (preferred) and understand how to build for privacy, and business impact You have a high tolerance for ambiguity and fast-changing context Hands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/Hadoop Knowledge in data modeling and establishing data architecture across multiple systems Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.

Create code that is understandable, simple, and clean, and take pride in its beauty. Love freedom and hate being micromanaged. Given context, you're capable of self-direction.

Passionate about data quality and delivering effective data to impact the business. What will you do. Architect, strengthen, and expand the core data products that scale our Ads business.

You'll get on a team of talented data engineers and envision how all the data elements from multiple sources should fit together as a whole, and then execute on that plan. Fully own critical portions of Netflix' Ads data products. Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality data.

Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively Develop best practices for governance of data sets with sensitive information Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners What (ideally) do you know. Domains related to advertising, data privacy, GDPR Data warehousing, data modeling, and data transformation for both batch and streaming Hands on command programming languages such as python, scala or java as well data exploration using sql Expert at building performant data pipelines and optimizing existing workflows for new features Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc. Experience with sourcing and modeling data from application APIs Team based software development tools and best practices Generally, our compensation structure consists solely of an annual salary; we do not have bonuses.

You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00

This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.

Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully.

We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.


What Netflix employees say

Pay

Benefits

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997