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Data Extraction Jobs in Portland, OR (NOW HIRING)

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

... data extraction & curation for analytical purposes • Develop self-service analytics to enable users to better understand and assess impacts of key business drivers on financial results. Minimum ...

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

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 ...

Familiarity with data sourcing, web research, and data extraction techniques; web scraping experience a plus * Strong written and verbal communication skills; able to clearly express information in ...

Familiarity with data sourcing, web research, and data extraction techniques; web scraping experience a plus * Strong written and verbal communication skills; able to clearly express information in ...

Product Data Lead (Hybrid)

Portland, OR · On-site

$86K - $100K/yr

Familiarity with data sourcing, web research, and data extraction techniques; web scraping experience a plus * Strong written and verbal communication skills; able to clearly express information in ...

Data Engineer

Portland, OR · On-site

$150K - $165K/yr

Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution, and resolve production failures * Build and maintain data pipelines powering operational reporting ...

Data Engineer

Portland, OR

$121K - $145K/yr

Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution, and resolve production failures * Build and maintain data pipelines powering operational reporting ...

Apply Early

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 ...

Responds to requests for complex data extraction and analytics, produces and interprets data summaries, reports, and dashboards, interfaces with internal and external customers, participates on and ...

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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 Jul 5, 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.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

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 is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
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 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 40% Full Time, and 60% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $58,538 per year, or $28.1 per hour.

$120K - $144K/yr

Full-time

Posted 15 days ago


Job description

Data Engineer
Primary Responsibilities
• Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data, cloud environment
• Support data aggregation jobs in a production environment as well as tune and optimize existing code base for multiple data products
• Process structured and unstructured data, validate data quality, and help design data quality tests in a big data environment
• Facilitate end to end solution design reviews with other members of the team that include communicating design, requirements, feature sets, functionality and limitations of systems/applications
• Build data movement pipelines leveraging SQL, Python and Spark that meet all functional & non-functional requirements
• Develop efficient feature capabilities to support proper data extraction & curation for analytical purposes
• Develop self-service analytics to enable users to better understand and assess impacts of key business drivers on financial results.
Minimum Qualifications
• 5+ years working as data engineer / database developer (Hadoop, cloud experience preferred)
• 5+ years of experience in data warehousing / big data environment, preferably in wireless industry and/or finance function
• Experience building & optimizing data pipelines on cloud solutions such as AWS & Azure
• Extensive experience in Spark, Python, PySpark, Scala, SQL/Hive
• Familiar with Spark MLlib, SParkSQL
• Writing complex SQL statements and performing data discovery
• Proven experience with data modeling, complex data structures, data processing, data quality, and data lifecycle
• Experience in API design, SDK architecture, and mobile software lifecycle development practices
• Strong organizational and time management skills, ability to prioritize a large group of diverse projects simultaneously, and deliver on multiple threads of work
• Experience working in agile environments on multiple projects simultaneously
• Excellent written and verbal communication skills
• Bachelor's degree in computer science or related technical field