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Data Processing Jobs in Seattle, WA (NOW HIRING)

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

We process big data using advanced AWS services. We work closely with PMs, TPMs, SDEs, and Applied Scientists, and collaborate with other data teams outside of the Partner and Content Foundations ...

TerraPower

Data Architect

Bellevue, WA · On-site

$71.50 - $92/hr

... and process monitoring frameworks to ensure the health, reliability, and lineage of data across the enterprise.Architecture & Design • Design and evolve the enterprise data lake into a data ...

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All JobsData Processing JobsData Processing Jobs in Seattle, WA

Data Processing information

See Seattle, WA salary details

$13

$23

$39

How much do data processing jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data processing in Seattle, WA is $23.06, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.43 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Seattle, WA?

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

What are popular job titles related to Data Processing jobs in Seattle, WA?

For Data Processing jobs in Seattle, WA, the most frequently searched job titles are:

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

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

What cities near Seattle, WA are hiring for Data Processing jobs?

Cities near Seattle, WA with the most Data Processing job openings:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $47,971 per year, or $23.1 per hour.

Data Engineer (Azure & Snowflake) - Fulltime

Saransh Inc

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 18 days ago

Job description

Role: Data Engineer (Azure and Snowflake)
Location: Seattle, WA (Onsite)
Job Type: Full Time
 
 
Must Have Skills:
Snowflake, Azure, SQL
 
Required:
  • The ideal candidate will be passionate about working with cutting-edge technologies to solve complex data engineering challenges.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience).
  • Proven experience as a Data Engineer with expertise in Azure, Databricks, DBT, and Snowflake.
  • Strong experience with Azure Data Factory, Azure Databricks, Azure Data Lake, and other Azure cloud services for data integration and processing.
  • Proficiency with DBT for implementing data transformation workflows, creating models, and writing SQL-based scripts.
  • Expertise in working with Snowflake for data warehousing, including experience with schema design, performance tuning, and optimization.
  • Strong experience with Apache Spark and working in Databricks for large-scale data processing.
  • Solid programming skills in SQL (advanced), Python, and Scala for developing data pipelines and transformation logic.
  • Experience with ETL/ELT processes, data orchestration, and automating data workflows using Azure and DBT.
  • Knowledge of data governance, security, and best practices for cloud data architectures.
  • Familiarity with version control systems like Git, and experience in Agile environments.
 
Preferred:
  • DBT Certifications or experience with advanced features such as DBT testing, macros, and hooks.
  • Azure, Databricks or Snowflake certifications
  • Experience with Snowflake performance tuning, including optimization of queries, schemas, and data partitioning.
  • Familiarity with CI/CD practices and experience building automated pipelines for data workflows.
  • Knowledge of cloud cost optimization in Azure and Snowflake for better resource utilization.