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Data Processing Jobs in Oregon (NOW HIRING)

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake . * Build reliable and high-performance data pipelines using Python and SQL . * Implement data ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake . * Build reliable and high-performance data pipelines using Python and SQL . * Implement data ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake . * Build reliable and high-performance data pipelines using Python and SQL . * Implement data ...

SOSi

Senior Data Scientist

OR · On-site +1

The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes. * The contractor shall conduct data ...

SOSi

Senior Data Scientist

OR

The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes. * The contractor shall conduct data ...

David Yurman Enterprises LLC

Data Engineer

Beaverton, OR · On-site

$140K - $150K/yr

Build incremental data processing workflows with change data capture (CDC) and idempotent designs. * Create multi‑stage orchestration workflows with parallel execution capabilities. * Develop ...

University of Oregon Foundation

Data Engineer

Eugene, OR · On-site

$100K/yr

Experience designing, building, and maintaining data processing systems and ETL/ELT pipelines * Experience with Salesforce required * Experience working with large data sets, including programmatic ...

University of Oregon Foundation

Data Engineer

Eugene, OR · On-site

$100K/yr

Experience designing, building, and maintaining data processing systems and ETL/ELT pipelines * Experience with Salesforce required * Experience working with large data sets, including programmatic ...

University of Oregon Foundation

Data Engineer

Eugene, OR · On-site

$100K/yr

Experience designing, building, and maintaining data processing systems and ETL/ELT pipelines * Experience with Salesforce required * Experience working with large data sets, including programmatic ...

AllSTEM Connections

Sales Data Analyst

Medford, OR · On-site

$70K - $80K/yr

Include root cause research and descriptive summaries to identify process breakdowns. * Gather pertinent data from large datasets and organize it logically. Apply ETL (Extract, Transform, Load ...

Netflix

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 ...

Webflow

Staff Data Engineer

OR · On-site +1

$114K - $137K/yr

Contribute to the evolution of data lake and data platform, including ingestion, processing, storage, and serving patterns. * Build, maintain and scale cloud data infrastructure that includes Kafka ...

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All JobsData Processing JobsData Processing Jobs in Oregon

Data Processing information

See Oregon salary details

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How much do data processing jobs pay per hour?

As of Sep 11, 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 are popular job titles related to Data Processing jobs in Oregon?

For Data Processing jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Oregon look for?

The top searched job categories for 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:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $44,568 per year, or $21.4 per hour.

Data Engineer - Databricks

Beaverton, OR • On-site

BuzzClan LLC
IT Services • 11 - 50 employees
Learn more about BuzzClan LLCexternal

$119K - $143K/yr

Contractor

Posted 14 days ago

Job description

Job Description

Data Engineer - Databricks
Location: Beaverton, OR - Hybrid (3 Days Onsite)
Contract-to-Hire

Job Overview

We are seeking an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain scalable enterprise data pipelines and data engineering solutions. The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL, along with experience in cloud platforms and modern data engineering practices.

Candidates must be local to or able to work onsite in Beaverton, Oregon 3 days per week.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions.
  • Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Build reliable and high-performance data pipelines using Python and SQL.
  • Implement data integration and transformation processes across various enterprise data sources.
  • Work with cloud platforms such as Azure, AWS, or GCP, with preference for Azure.
  • Develop and manage data workflows using orchestration tools such as Azure Data Factory (ADF) and/or Apache Airflow.
  • Apply data modeling, data warehousing, and performance optimization best practices.
  • Implement data quality, scalability, reliability, and performance improvements across data platforms.
  • Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.
  • Collaborate with business stakeholders, data architects, developers, and other cross-functional teams to deliver enterprise data solutions.
  • Troubleshoot complex data pipeline and processing issues and provide effective technical solutions.
  • Contribute to modern Databricks capabilities such as Delta Live Tables (DLT), Unity Catalog, and Structured Streaming where applicable.
Qualifications

Required Skills

  • 6+ years of overall IT experience, including 5+ years of Data Engineering experience.
  • Strong hands-on experience with Databricks.
  • Strong expertise in PySpark, Spark SQL, and Delta Lake.
  • Strong programming skills in Python and SQL.
  • Proven experience building scalable ETL/ELT pipelines.
  • Experience with Azure, AWS, or GCP, preferably Azure.
  • Experience with Azure Data Factory (ADF) and/or Airflow.
  • Strong understanding of data modeling and data warehousing.
  • Experience with data pipeline and query performance optimization.
  • Hands-on experience with Git, CI/CD, and DevOps practices.
  • Strong analytical, problem-solving, collaboration, and communication skills.

Preferred Skills

  • Delta Live Tables (DLT)
  • Unity Catalog
  • Structured Streaming
  • Azure cloud data services
  • Experience working with large-scale enterprise data platforms.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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