1

Data Processing Jobs in Portland, OR (NOW HIRING)

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... for processing and storing large data volumes · Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing · Translate product backlog items into ...

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ...

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

Design and develop data ingestion processes from multiple sources, including: * Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure, AWS) * Enterprise ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI. * Help establish and maintain data engineering standards ...

Print Supplies Big Data Analyst Description - Job Summary We are seeking a highly analytical ... Responsibilities Own and support monthly validation processes for print telemetry outputs ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI. * Help establish and maintain data engineering standards ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI. * Help establish and maintain data engineering standards ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI. * Help establish and maintain data engineering standards ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

next page

Showing results 1-20

Data Processing information

See Portland, OR salary details

$13

$21

$36

How much do data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing in Portland, OR is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.70 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 Portland, OR?

The most popular types of Data Processing jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Processing jobs?

Cities near Portland, OR with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Portland, OR as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $44,704 per year, or $21.5 per hour.

Sr. Data Engineer

Ohm Systems, Inc

Beaverton, OR • On-site

$120K - $145K/yr

Other

Posted 7 days ago


Job description

Previos Nike experience is must have.
WHAT YOU WILL WORK ON

Role Responsibilities:

·        Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology

·        Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes

·        Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing

·        Translate product backlog items into logical units of work in engineering

·        Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem

·        Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns

·        Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed

·        Build and incorporate automated unit tests and participate in integration testing efforts

·        Utilize and advance continuous integration and deployment frameworks

·        Troubleshoot data issues and perform root cause analysis

·        Work across teams to resolve operational & performance issues

WHAT YOU BRING

The following qualifications and technical skills will position you well for this role:

·        Bachelor’s degree in Computer Science, or related technical discipline

·        10+ years of experience in large-scale software development, 5+ years of big data experience

·        Extensive AI knowledge and experience.

·        Programming experience, Python or Scala preferred.

·        Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.

·        Experience with messaging/streaming/complex event processing tooling and frameworks

·        Experience with data warehousing concepts, SQL and SQL Analytical functions

·        Experience with workflow orchestration tools like Apache Airflow

·        Experience with source code control tools like Github or Bitbucket

·        Ability to communicate effectively, both verbally and written, with team members

·        Interest in and ability to quickly pick up new languages, technologies, and frameworks

·        Experience in Agile/Scrum application development

 

The following skills and experience are also relevant to our overall environment, and nice to have:

·        Experience with Java

·        Experience working in a public cloud environment, particularly AWS, databricks

·        Experience with cloud warehouse tools like Snowflake

·        Experience working with NoSQL data stores such as HBase, DynamoDB, etc.

·        Experience building RESTful API’s to enable data consumption

·        Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI

·        Experience with practices like Continuous Development, Continuous Integration and Automated Testing

 

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

·        Desire to work collaboratively with your teammates to come up with the best solution to a problem

·        Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment

·        Excellent problem-solving and interpersonal communication skills

·        Strong desire to learn and share knowledge with others