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Data Extraction Analyst Jobs in Portland, OR (NOW HIRING)

Snowflake Data Engineer

Tigard, OR · On-site

$80K - $115K/yr

Working closely with Data Architects, Analysts, and cross-functional teams, the Data Engineer ... Build and maintain ETL/ELT pipelines using Azure Data Factory and related tools * Develop, test ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Strong command of best practices applied in relational databases and SQL as well as Extract ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Strong command of best practices applied in relational databases and SQL as well as Extract ...

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 ...

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Strong command of best practices applied in relational databases and SQL as well as Extract ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions ... Strong analytical, problem-solving, collaboration, and communication skills. Preferred Skills

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions ... Strong analytical, problem-solving, collaboration, and communication skills. Preferred Skills

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions ... Strong analytical, problem-solving, collaboration, and communication skills. Preferred Skills

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Experience building scalable ETL/ELT pipelines and data engineering solutions. * Hands-on ... Excellent analytical, problem-solving, and communication skills. Meet Your Recruiter Lorena ...

Showing results 21-40

Data Extraction Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do data extraction analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data extraction analyst in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

What is a data extraction analyst?

A Data Extraction Analyst is a professional responsible for collecting, processing, and interpreting data from various sources, such as databases, documents, and websites. They use specialized tools and software to extract relevant data, ensuring its accuracy and integrity. Their work supports business decisions, reporting, and analytics by making data accessible and usable for organizations. Data Extraction Analysts often collaborate with IT, data science, and business teams to streamline data workflows and comply with data privacy regulations.

What are the most common challenges data extraction analysts face when working with unstructured data sources?

Data Extraction Analysts often encounter challenges when dealing with unstructured data, such as inconsistent formats, incomplete records, and noisy or irrelevant information. Extracting reliable data from sources like scanned documents, emails, or social media posts requires advanced tools and techniques, including optical character recognition (OCR) and natural language processing (NLP). Overcoming these challenges typically involves close collaboration with data engineers and subject matter experts, as well as continuous refinement of extraction processes to maintain data quality and accuracy.

What are the key skills and qualifications needed to thrive as a data extraction analyst, and why are they important?

To thrive as a Data Extraction Analyst, strong analytical skills, attention to detail, and proficiency in data management are essential, often supported by a degree in computer science, information systems, or a related field. Familiarity with ETL (Extract, Transform, Load) tools, SQL databases, and data visualization software is typically required, and certifications in data analytics or database management can be advantageous. Excellent problem-solving abilities, communication skills, and adaptability help analysts effectively interpret data requirements and collaborate with stakeholders. These skills ensure accurate data extraction, support informed decision-making, and maintain data integrity in complex organizational environments.

What is the difference between Data Extraction Analyst vs Data Analyst?

AspectData Extraction AnalystData Analyst
Primary FocusExtracting, cleaning, and preparing data from various sourcesAnalyzing data to identify trends and support decision-making
Skills & ToolsSQL, data scraping, ETL tools, data managementExcel, statistical analysis, visualization tools, SQL
Work EnvironmentData warehouses, databases, ETL pipelinesReporting platforms, dashboards, business intelligence tools
Common IndustriesIT, finance, marketing, e-commerceFinance, healthcare, marketing, consulting

While both roles involve working with data, Data Extraction Analysts focus on retrieving and preparing data for analysis, whereas Data Analysts interpret and analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

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

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

What job categories do people searching Data Extraction Analyst jobs in Portland, OR look for?

The top searched job categories for Data Extraction Analyst jobs in Portland, OR are:

Infographic showing various Data Extraction Analyst job openings in Portland, OR as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

BigData Engineer / Architect

Portland, OR • On-site

Full-time

Re-posted 3 days ago


Job description

Company Description
The hunt is for a strong Big Data Professional, a team player with the ability to manage effective relationships with a wide range of stakeholders (customers & team members alike). Incumbent will demonstrate personal commitment and accountability to ensure standards are continuously sustained and improved both within the internal teams, and with partner organizations and suppliers.
Role: Big Data Engineer
Location: Portland OR.
Duration: Full Time
Skill Matrix:
Map Reduce - Required
Apache Spark - Required
Informatica PowerCenter - Required
Hive - Required
Apache Hadoop - Required
Core Java / Python - Highly Desired
Healthcare Domain Experience - Highly Desired
Job Description
Responsibilities and Duties
  • Participate in technical planning & requirements gathering phases including architectural design, coding, testing, troubleshooting, and documenting big data-oriented software applications.
  • Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data in the business's operational and analytics databases, and troubleshoots any existent issues.
  • Implementation, troubleshooting, and optimization distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Storm, Kafka, etc. in both an on premise and cloud deployment model to solve large scale processing problems
  • Design, enhance and implement ETL/data ingestion platform on the cloud.
  • Strong Data Warehousing skills, including: Data clean-up, ETL, ELT and handling scalability issues for enterprise level data warehouse
  • Capable of investigating, familiarizing and mastering new data sets quickly
  • Strong troubleshooting and problem-solving skills in large data environment
  • Experience with building data platform on cloud (AWS or Azure)
  • Experience in using Python, Java or any other language to solving data problems
  • Experience in implementing SDLC best practices and Agile methods.

Qualifications
Required Skills:
  • Data architecture/ Big Data/ ETL environment
  • Experience with ETL design using tools Informatica, Talend, Oracle Data Integrator (ODI), Dell Boomi or equivalent
  • Big Data & Analytics solutions Hadoop, Pig, Hive, Spark, Spark SQL Storm, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design)
  • Building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozy, Sqoop, Pig, Hive, HBase, Avro, Parquet, Spark, NiFi
  • Foundational data management concepts - RDM and MDM
  • Experience in working with JIRA/Git/Bitbucket/JUNIT and other code management toolsets
  • Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Python - any one is fine
  • Healthcare Domain knowledge

Required Experience, Skills and Qualifications
Qualifications:
  • Bachelor's Degree with a minimum of 6 to 9 + year's relevant experience or equivalent.
  • Extensive experience in data architecture/Big Data/ ETL environment.

Additional Information
All your information will be kept confidential according to EEO guidelines.