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Data Extraction Jobs in Portland, OR (NOW HIRING)

Create advanced ETL specifications to meet business data needs. * Develop and maintain appropriate documentation, including current design and operation. Data Analysis * Analyze data sources; partner ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and implement data security practices. Responsibilities - Design and implement thorough data architecture ...

We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and ...

Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats. * Experience in statistical modeling for churn analysis, customer segmentation, and cohort analysis.

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Data Extraction information

See Portland, OR salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data extraction in Portland, OR is $28.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.12 and $31.21 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the most commonly searched types of Data Extraction jobs in Portland, OR? The most popular types of Data Extraction jobs in Portland, OR are:
What job categories do people searching Data Extraction jobs in Portland, OR look for? The top searched job categories for Data Extraction jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Extraction jobs? Cities near Portland, OR with the most Data Extraction job openings:
Infographic showing various Data Extraction job openings in Portland, OR as of June 2026, with employment types broken down into 3% As Needed, 45% Full Time, 46% Part Time, and 6% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $58,538 per year, or $28.1 per hour.
IS Data Warehouse Architect III

IS Data Warehouse Architect III

Careoregon

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


CareOregon rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

187th of 261 rated insurance


Job description

IS Data Warehouse Architect III

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This position performs data warehouse architecture or enterprise data architecture at a senior level. Essential responsibilities are focused on design and development of data models and ETL specifications, data analysis, system design and architecture, standards and policy administration, and vendor coordination and relations.

Estimated Hiring Range:

$126,720.00 - $154,880.00

Bonus Target:

Bonus - SIP Target, 5% Annual

Current CareOregon Employees: Please use the internal Workday site to submit an application for this job.

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Essential Responsibilities

Data Modeling and ETL Specifications

  • Create data models for advanced to complex subjects and provide guidance to junior architects.
  • Create advanced ETL specifications to meet business data needs.
  • Develop and maintain appropriate documentation, including current design and operation.

Data Analysis

  • Analyze data sources; partner with leaders across the organization to effectively research and recommend solutions which balance business need and risk mitigation.

System Design and Architecture

  • Recommend long-term data architecture goals and planning for IS and business.
  • Lead and provide direction in creating and managing advanced to complex data warehouse and analytics architectures for use as reference and as input to solution development process.

Standards and Policy Administration

  • Author and serve as subject matter expert to define requirements, standards and best practices for data modeling, ETL specifications, and data warehouse development.
  • Monitor and continually review existing systems to ensure they are designed to comply with established standards and to empower business operations.

Vendor Coordination and Relations

  • Conduct product and vendor research, and present recommendations to the lead developer and/or management.
  • Establish and manage effective relations with vendors and related equipment suppliers, including installation and repair of services.

Experience and/or Education

Required

  • Minimum 5 years of data warehouse architecture experience. Experience should include most or all of the following:
    • Dimensional modeling experience
    • Metadata management
    • Data quality assessment
    • Performance tuning and optimization
    • ETL/ELT design
    • Cloud warehousing solutions
    • Proficiency with SQL
    • Health insurance
    • Systems analysis and design
    • Agile/Scrum methodology

Preferred

  • Experience in health care or managed care
Knowledge, Skills and Abilities Required

Knowledge

  • Advanced knowledge of cloud data warehousing tools such as Snowflake or Redshift
  • Advanced troubleshooting of system performance issues and root cause

Skills and Abilities

  • Advanced knowledge/skills of Microsoft SQL Server
  • Advanced knowledge/skills of ETL tools, such as SSIS or Azure Data Factory
  • Advanced knowledge/skills of unit and integration testing
  • Strong communication skills, including listening, verbal, written, customer service, meeting facilitation, and presentations
  • Ability to clearly articulate policies, instructions, goals, and objectives
  • Ability to convey appropriate level of detail effectively to all levels of the organization including non-technical staff
  • Ability to author policies, document risks, and propose solutions to information technology management and senior leadership
  • Possess a high degree of initiative and motivation
  • Ability to effectively collaborate with coworkers, staff, leaders, and executives across all departments
  • Ability to work effectively with diverse individuals and groups
  • Ability to learn, focus, understand, and evaluate information and determine appropriate actions
  • Ability to accept direction and feedback, as well as tolerate and manage stress
  • Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day
  • Ability to hear and speak clearly for at least 3-6 hours/day

Working Conditions

Work Environment(s): Indoor/Office Community Facilities/Security Outdoor Exposure

Member/Patient Facing: No Telephonic In Person

Hazards: May include, but not limited to, physical and ergonomic hazards.

Equipment: General office equipment and/or mobile technology

Travel: May include occasional required or optional travel outside of the workplace; the employee's personal vehicle, local transit or other means of transportation may be used.

Work Location: Work from home

We offer a strong Total Rewards Program. This includes competitive pay, bonus opportunity, and a comprehensive benefits package. Eligibility for bonuses and benefits is dependent on factors such as the position type and the number of scheduled weekly hours. Benefits-eligible employees qualify for benefits beginning on the first of the month on or after their start date. CareOregon offers medical, dental, vision, life, AD&D, and disability insurance, as well as health savings account, flexible spending account(s), lifestyle spending account, employee assistance program, wellness program, discounts, and multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings, etc.). We also offer a strong retirement plan with employer contributions. Benefits-eligible employees accrue PTO and Paid State Sick Time based on hours worked/scheduled hours and the primary work state. Employees may also receive paid holidays, volunteer time, jury duty, bereavement leave, and more, depending on eligibility. Non-benefits eligible employees can enjoy 401(k) contributions, Paid State Sick Time, wellness and employee assistance program benefits, and other perks. Please contact your recruiter for more information.

We are an equal opportunity employer

CareOregon is an equal opportunity employer. The organization selects the best individual for the job based upon job related qualifications, regardless of race, color, religion, sexual orientation, national origin, gender, gender identity, gender expression, genetic information, age, veteran status, ancestry, marital status or disability. The organization will make a reasonable accommodation to known physical or mental limitations of a qualified applicant or employee with a disability unless the accommodation will impose an undue hardship on the operation of our organization.