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Data Processor Jobs in Oregon (NOW HIRING)

Consumer Direct Care Network

OR

$114K - $137K/yr

This role plays a key leadership role in optimizing CDCN's data systems and processes for performance, scalability, and reliability while advancing our technical capabilities with cloud-native ...

SOSi

Senior Data Scientist

Myrtle Point, OR · On-site

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 ...

Fisher Investments

Data Engineer

Portland, OR · On-site

You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts ...

Fisher Investments

Data Engineer

Gresham, OR · On-site

You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts ...

HealthEdge

Data Conversion Lead

Design ETL processes including data extracts, load logic, stored procedures, workflows, and data mappings. * Enforce naming standards and maintain data dictionaries and documentation for all ...

Habitat For Humanity

OR · On-site

$66K - $78K/yr

Improve data processes and standards *Serve as an "air traffic controller" for donor data, coordinating work across teams so issues are triaged, assigned, and resolved without duplication or conflict ...

Liberty Information Technology Limited

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

HealthEdge

Proficiency with Python or Scala for data processing; strong SQL for analytical querying against ... large, event-driven datasets. * Hands-on experience with Jira and at least two of the following:

Aptive

Senior Data Architect

$67.25 - $90/hr

Establish and lead data integration frameworks, including APIs, ETL processes, and interoperability standards across multiple systems (e.g., clinical, operational, performance). * Partner with ...

Pager Health

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 ...

Bayshore Mortgage Funding LLC

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 ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

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.

SiriusPoint

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 ...

Oregon Tool

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 ...

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Data Processor information

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How much do data processor jobs pay per hour?

As of Jul 14, 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.

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 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.
More about Data Processor jobs
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What job categories do people searching Data Processor jobs in Oregon look for? The top searched job categories for Data Processor jobs in Oregon 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 Processor jobs near you
IT Data Engineer III

IT Data Engineer III

Consumer Direct Care Network

OR

$114K - $137K/yr

Other

Posted 23 days ago

Consumer Direct Care Network rating

5.3

Company rating: 5.3 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

184th of 235 rated social care providers

Job description

Description & Requirements
Culture Vision at Consumer Direct Care Network

At CDCN, we strive to create aworkplace where everyone issupported and motivated to betheir best; we collaborate onshared goals and celebrate ouraccomplishments.

WE WELCOME YOU INTO A GROWING COMPANY

Consumer Direct Care Network is all about caring for people. Care is at our core, and we strive to live up to it every day. We provide services in 14 states across the USA, and our programs grow every year. We specialize in home and community-based services that support individuals with disabilities and older adults so they can remain in their homes and communities.

JOB SUMMARY
IT Data Engineer III is a senior-level position on the Enterprise Data team, responsible for leading the design, development, and support of complex enterprise data solutions across modern cloud platforms. This role plays a key leadership role in optimizing CDCN's data systems and processes for performance, scalability, and reliability while advancing our technical capabilities with cloud-native technologies. The IT Data Engineer III serves as a technical expert and mentor, guides ad hoc teams, and leads efforts to improve data workflows, architecture, and integration across the organization. This position requires deep technical expertise in Azure data platforms including Fabric and Synapse Analytics, strong collaboration skills, and the ability to communicate effectively with both technical and non-technical stakeholders.

JOB DUTIES
  • Lead initiatives to design, develop, and maintain enterprise data warehouse systems and data integration pipelines used for analysis and reporting, leveraging Azure Fabric, Azure Synapse Analytics, and related Azure data platform technologies.
  • Design and implement scalable ETL/ELT (extract, transform, load) solutions across enterprise systems, leveraging advanced data engineering tools and technologies including Azure Data Factory, Databricks, and serverless data processing platforms.
  • Architect and optimize dimensional data models including fact tables, dimension tables, and slowly changing dimensions to support analytics and reporting requirements.
  • Lead response efforts to stakeholder data needs and system issues, serving as the primary technical contact for complex or escalated requests and ensuring alignment with business requirements and regulatory compliance.
  • Troubleshoot and resolve high-priority issues during regular business hours and as part of the after-hours on-call rotation, ensuring critical data systems remain operational and performing optimally.
  • Guide ad hoc teams in analyzing and improving data processes, system performance, and cost-efficiency through technical innovation, process redesign, and optimization of cloud infrastructure costs.
  • Provide technical mentorship and direction to peers and junior engineers across data projects and ongoing operations, fostering continuous learning and technical excellence.
  • Collaborate with engineers, analysts, and business partners to ensure that solutions align with strategic business goals, regulatory requirements, and industry best practices.
  • Implement and maintain data quality frameworks, validation rules, and monitoring mechanisms to ensure data accuracy, consistency, and reliability across enterprise systems.
  • Lead technical design reviews and code reviews, establishing and enforcing data engineering standards, best practices, and architectural principles.
  • Perform other duties as assigned, including leadership of special projects or enterprise-level initiatives.

QUALIFICATIONS
Education & Experience:
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, Mathematics, or a related field required; equivalent professional experience will be considered.
  • 5-9 years of experience designing, developing, and supporting data platforms and enterprise data warehouse systems in production environments.
  • Proven ability to lead and serve as a technical expert on small to medium-sized projects and cross-functional initiatives.
  • Demonstrated experience mentoring junior engineers and contributing to team technical development.
Core Technical Skills:
  • Expert-level experience with Azure Fabric including lakehouse architecture, notebooks, Delta Lake, data pipelines, and data warehouse design.
  • Deep hands-on experience with Azure Synapse Analytics including dedicated SQL pools, serverless SQL pools, Synapse pipelines, and performance optimization.
  • Expert-level SQL scripting with advanced proficiency in writing complex queries, stored procedures, query optimization, and performance tuning.
  • Deep experience in ETL/ELT development and data pipeline architecture across enterprise systems.
  • Advanced dimensional data modeling expertise including star schema, snowflake schema, fact tables, dimension tables, and slowly changing dimensions.
  • Expert-level experience with cloud data platforms such as Azure (primary), AWS, or Oracle Cloud.
  • Extensive hands-on experience with tools and technologies including Azure Data Factory, Azure Fabric, Azure Synapse Analytics, Databricks, Azure Data Lake Storage Gen2, Azure DevOps, SSMS, and Power BI.
  • Expert-level understanding of data structures and data exchange formats including ANSI X12, JSON, XML, and industry-standard data formats.
  • Proficiency in Python or PySpark for data processing and transformation tasks.
DevOps & Engineering Practices:
  • Strong experience with version control systems (Git) and CI/CD practices for data engineering.
  • Familiarity with infrastructure as code (Terraform, ARM templates, or Bicep).
  • Experience implementing data quality frameworks and automated monitoring/alerting mechanisms.
  • Knowledge of data governance, security best practices, and regulatory compliance requirements.
  • Professional & Interpersonal Skills:
  • Demonstrated ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Strong problem-solving skills, attention to detail, and ability to manage multiple priorities under pressure.
  • Able to work independently or as a team lead, taking full ownership of technical solutions from design through implementation and support.
  • Proven ability to mentor peers and junior engineers, contributing to technical team development.
  • Ability to work effectively on-call and respond to critical production issues with urgency and professionalism.
Machine Learning & AI (Preferred Qualifications):
  • Experience with Azure Machine Learning including model training, deployment, and inference pipelines integrated into data workflows
  • Familiarity with MLOps practices including model versioning, monitoring, retraining workflows, and model governance
  • Understanding of feature engineering and the role of data pipelines in preparing data for machine learning applications
  • Experience with Databricks ML features including MLflow and distributed model training
  • Knowledge of AutoML and automated feature selection tools within the Azure ecosystem
  • Experience implementing model monitoring and performance tracking in production environments
  • Familiarity with responsible AI principles including bias detection, explainability, and ethical AI considerations
  • Understanding of A/B testing frameworks and experimentation workflows in data-driven applications
Other Requirements:
  • Must be able to successfully pass a background screening.
  • Willingness to maintain and expand technical certifications relevant to Azure data platforms.
  • Ability to work flexible and/or extended hours, if needed, to meet the job requirements.
  • Employees must provide their own reliable internet if working a remote/hybrid position

The incumbent typically works in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the workday. The employee is regularly required to sit, talk, or hear; frequently required to use repetitive hand motion, handle or feel, and to stand, walk, reach, bend or lift up to 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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