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Data Extraction Jobs in Portland, OR (NOW HIRING)

Data Specialist (Contractor)

Portland, OR · On-site

$55.10 - $82.66/hr

Collaborate with implementation partners on data extraction, transformation, and integration activities. Governance Sustainability * Support development of a data governance roadmap and stewardship ...

Design, build, and optimize FTP and ETL jobs for ingesting data from a variety of core banking systems * Help to accelerate onboarding for new clients. * Suggest ideas to improve and refactor ...

Suggest ideas to improve and refactor existing ETL processes for performance, reliability, and scalability * Design and develop data loading monitoring dashboard, logging and alerting for internal ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

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

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

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

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

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

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

Experience building scalable ETL/ELT pipelines and data engineering solutions. * Hands-on experience with Azure/AWS/GCP, preferably Azure, and orchestration tools (ADF/Airflow). * Strong ...

Develop and maintain data APIs and ETL processes. * Implement data quality and data governance policies and procedures. * Work with data scientists and other analysts to support the development and ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll be responsible for supporting end-to-end Data Operations, including ETL/ELT pipelines, reporting and dashboarding workloads, advanced analytics and machine learning workflows, ensuring they ...

Data Scientist/Analyst

Vancouver, WA · On-site

$90K - $120K/yr

Extract and clean large, complex datasets across fragmented enterprise systems to identify deep ... Architect data models, business forecasts, customer segmentation frameworks, and multi-variable ...

Showing results 21-40

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 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 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.

Contractor

Re-posted 13 days ago


Job description


Responsibilities
• Design, build and maintain business critical reports that provide insight into key data points
• Support the migration of legacy database system and data pipeline
• Maintain and distribute legacy reports
• Design, build and monitor ETL processes
• Support various internal functions/groups and external business partners through data analysis and reporting
• Troubleshoot and resolve reporting issues
• Perform ad hoc data analysis and communicate results
Skills
• SQL (CRUD, Queries, Stored Procedures, Functions, Views, etc.)
• ETL (Extract Transform Load)
• Data Warehouse Concepts
• Azure SQL Server / AWS Redshift
• Tableau Desktop
• Tableau Server
• Data Analysis
• Report Writing / Development
• Familiarity with other Business Intelligence Solutions / Tools
Skill Set
SQL, ETL