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Data Extraction Jobs in Seattle, WA (NOW HIRING)

Sr. Data Analyst

Bellevue, WA · On-site

$96K - $121K/yr

Monitor data extract, transform, and load (ETL) jobs and respond to any job failures. * Development Support for platforms and applications as assigned by designated manager * Document knowledge base ...

Sr. Data Analyst

Bellevue, WA · On-site

$96K - $121K/yr

Monitor data extract, transform, and load (ETL) jobs and respond to any job failures. * Development Support for platforms and applications as assigned by designated manager * Document knowledge base ...

Sr. Data Analyst

Bellevue, WA

$96K - $121K/yr

Understand data lineage, data quality and relationships Monitor data extract, transform, and load (ETL) jobs and respond to any job failures. Development Support for platforms and applications as ...

Sr. Data Analyst

Bellevue, WA · On-site

$96K - $121K/yr

Technology: • SQL Server 2014/16, Good SQL & ETL skills • Strong on SSAS, SSIS & COSMOS or Big Data • Good knowledge of PowerBI • Strong data analytical skills • Ability to make business ...

Data Analyst

Bellevue, WA · On-site

$80 - $100/hr

Monitor data extract, transform, and load (ETL) jobs and respond to any job failures. * Development Support for platforms and applications as assigned by designated manager * Document knowledge base ...

Key job responsibilities - Use advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets - Design and implement end-to-end data science workflows ...

New

Experience with ETL schedulers (e.g. Airflow, Dagster, DBT) Preferred Qualifications * Experience with massive datasets, with an understanding of how to optimize data extraction * Expertise in ...

Sr. Data Analyst

Bellevue, WA · On-site

$90 - $120/hr

Monitor data extract, transform, and load (ETL) jobs and respond to any job failures. * Development Support for platforms and applications as assigned by designated manager * Document knowledge base ...

... ETL Development Tools is a must - Experience in logical and physical database design and implementation - Experience using data warehouse or analytic tools for business purposes - Experience with ad ...

Senior Product Manager - Data Onboarding

Seattle, WA · On-site

$144K - $190K/yr

Your work will help establish Truveta as the market leader in healthcare data connectivity and extraction by creating generalized, extensible capabilities that support diverse EHR technologies ...

Senior Product Manager - Data Onboarding

Seattle, WA · On-site +1

$144K - $190K/yr

Your work will help establish Truveta as the market leader in healthcare data connectivity and extraction by creating generalized, extensible capabilities that support diverse EHR technologies ...

Develop and document reusable patterns for data extraction, transformation, and integration * Ensure data design supports operational needs, audit controls, and performance requirements * Support ...

Showing results 21-40

Data Extraction information

See Seattle, WA salary details

$12

$30

$75

How much do data extraction jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data extraction in Seattle, WA is $30.50, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $33.82 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 Seattle, WA?

The most popular types of Data Extraction jobs in Seattle, WA are:

What job categories do people searching Data Extraction jobs in Seattle, WA look for?

The top searched job categories for Data Extraction jobs in Seattle, WA are:

Infographic showing various Data Extraction job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $63,438 per year, or $30.5 per hour.

Sr. Data Analyst

Annik Inc.

Bellevue, WA • On-site

$96K - $121K/yr

Full-time

Re-posted 26 days ago


Job description

Company Description
Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe and industries to help them achieve success in their analytics and data-driven initiatives and drive better business outcomes. Today, Annik solutions are delivered globally in 16+ languages, with over 1000 employees located across 6 global locations.
We are very excited to share that we are now part of LiquidHub, a customer engagement company headquartered in Pennsylvania which strengthens the depth of our solutions offering and expands our localized support capabilities here in the US.
Job Description
  • Troubleshoot complex data related issues escalated from Tier 1
  • Solving data discrepancies and providing business intelligence insights.
  • Understand data lineage, data quality and relationships
  • Monitor data extract, transform, and load (ETL) jobs and respond to any job failures.
  • Development Support for platforms and applications as assigned by designated manager
  • Document knowledge base articles for Tier 1 and Tier 2
  • Dedicate 20-25% of time for Development efforts - Automation of operational activities, data quality checks, application feature development, develop tabular models, bug fixes and reporting
  • Perform data engineering related activities
  • Flexibility to support production issues during off hours.

Qualifications
  • SQL Server 2014/16, Good SQL & ETL skills
  • Strong on SSAS, SSIS & COSMOS
  • Good knowledge of PowerBI
  • Strong data analytical skills
  • Ability to make business conclusions from data, connect scenarios
  • Strong knowledge on Excel - Pivots, PowerPivots, Charts

Other Skills:
  • Understanding Data Management & BI concepts, Data Analysis, Analytics, Cubes, Reporting Technologies, ETL
  • Prior experience in Microsoft landscape is preferred
  • Ability to deal with ambiguity and work in agile environment.
  • Excellent communications skills
  • Attention to detail
  • Strong troubleshooting skills
  • Hands on experience with SharePoint

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