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Data Extraction Jobs in Portland, OR (NOW HIRING)

Qode

Data Engineer

Camas, WA · On-site

$126K - $151K/yr

Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark ...

New

Procom Consultants Group

Data Analyst

Hillsboro, OR · On-site

Information science Signal processing Data mining Data warehousing Performance computing Big Data Data extraction and visualization Business process analysis: process and workflow efficiency Six ...

Procom Services

211854 / Data Analyst

Hillsboro, OR · On-site

Data extraction and visualization * Business process analysis: process and workflow efficiency * Six Sigma training or experience * Lean manufacturing techniques * Inventory scheduling systems

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

Data extraction * Data transformation * Data quality validation * Automation workflows * API integrations * Design and maintain Alteryx workflows for data preparation, blending, and analytics ...

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All JobsData Extraction JobsData Extraction Jobs in Portland, OR

Data Extraction information

See Portland, OR salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Sep 6, 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 is a data extraction?

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 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 data extraction, 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.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

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 are popular job titles related to Data Extraction jobs in Portland, OR?

For Data Extraction jobs in Portland, OR, the most frequently searched job titles 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:

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Portland, OR as of August 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,538 per year, or $28.1 per hour.

Data Engineer

Qode

Camas, WA • On-site

$126K - $151K/yr

Full-time

Posted 2 days ago

New

Job description

Company: Wealth Management

Position: Data Engineer

Pay: $100K - $140K + Bonus

Locations: - First 90 days on site and then 1 day a week WFH - Plano, TX & Camas, WA

Work Authorization: ONLY USC and GC no other visas will be considered.

Education: Bachelor's degree in Computer Science, Information Technology, or other relevant field 

Experience: 

  • 5+ years' experience developing data-related solutions and software
  • 5+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform
  • 2+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies
  • 2+ years of experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components
  • 2+ years of hands-on development and deployment experience with Azure cloud using T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines
  • Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software
  • Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases
  • Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar
  • Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps software

Responsibilities

  • Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams
  • Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems
  • Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files
  • Develop and deploy structured, semi-structured, and unstructured data storage models and dimensional data models on various platforms to meet business requirements
  • Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams
  • Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered
  • Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs
  • Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth