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Data Engineer Data Jobs in Seattle, WA (NOW HIRING)

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and ...

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Act as a technical mentor and coach a team of data engineers with diverse experience levels * Uplevel the team's capabilities in SQL, Python, data modeling, and system design * Establish coding ...

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Act as a technical mentor and coach a team of data engineers with diverse experience levels * Uplevel the team's capabilities in SQL, Python, data modeling, and system design * Establish coding ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on ...

Data Engineer

Seattle, WA

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on ...

NOSQL Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Georgia IT, Inc. is seeking a NOSQL Data Engineer to join their team in Seattle, WA. The role requires extensive experience in data engineering and expertise in NoSQL databases to support data ...

Data Engineer- Seattle WA

Seattle, WA · On-site

$130K - $156K/yr

Georgia IT, Inc. is seeking a skilled Data Engineer with strong experience in NoSQL databases to join their team in Seattle, WA. The role involves designing, developing, and maintaining scalable data ...

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities * Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and Databricks. * Work with large-scale data lake ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire * Design build and maintain robust scalable and efficient data pipelines using tools such as Azure Data Factory Databricks ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with PySpark * Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on ...

Data Engineer

Seattle, WA · Hybrid

$130K - $156K/yr

Lynden Incorporated is seeking a Data Engineer II to join our SeaTac-based team. In this role, you will help build and modernize Lynden's enterprise data platform on Microsoft Fabric, delivering ...

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this ...

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Showing results 1-20

Data Engineer Data information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do data engineer data jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data engineer data in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

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

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

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

Infographic showing various Data Engineer Data 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 $187,795 per year, or $90.3 per hour.

Snowflake Data Engineer / Data Migration Engineer

Tukwila, WA • On-site

Conch Technologies Inc
IT Services • 51 - 200 employees

$129K - $155K/yr

Contractor

Re-posted 15 days ago


Job description

Snowflake Data Engineer / Data Migration Engineer

Location: Tukwila, WA (Hybrid)
Duration: 6+ Months
 

Note: w2 only No C2CJob Summary

We are seeking an experienced Snowflake Data Engineer / Data Migration Engineer to support the Finance Data Mart team in a large-scale migration initiative. The ideal candidate will have strong expertise in Snowflake, Azure Data Factory, SQL Server migrations, ETL development, and Power BI semantic models. This role requires hands-on experience with modern data engineering practices, CI/CD automation, and cloud-based analytics solutions.

Required Skills Snowflake Development
  • Strong hands-on experience with Snowflake development and administration.
  • Experience converting SQL Server T-SQL stored procedures and processes into Snowflake.
  • Expertise in translating SQL Server DDL objects to Snowflake.
  • Experience designing and developing migration frameworks for moving data from SQL Server to Snowflake.
  • Strong knowledge of data validation, reconciliation, and migration testing.
  • Experience optimizing Snowflake performance and query tuning.
 ETL & Data Integration
  • Experience converting SSIS packages into Azure Data Factory (ADF) pipelines.
  • Strong knowledge of Azure Data Factory setup and configuration for Development, Pre-Production, and Production environments.
  • Experience designing scalable and reusable ETL frameworks.
  • Knowledge of Apache Iceberg storage technology.
 Azure DevOps & CI/CD
  • Experience creating and maintaining Azure DevOps CI/CD release pipelines.
  • Experience automating deployments for data engineering solutions.
 Source Control
  • Strong experience with GitHub.
  • Knowledge of branching strategies, repository management, and deployment workflows.
  • Experience improving source control and DevOps processes.
 Analytics & Reporting
  • Experience developing and maintaining SSAS Cubes using Visual Studio.
  • Experience migrating SSAS Cubes or Semantic Models to Power BI Semantic Models.
  • Ability to validate migrated models and optimize performance.
 AI-Assisted Development
  • Experience using AI-powered development tools to improve productivity while maintaining coding standards.
  • Experience with Snowflake AI Migration (AIM) tools is a plus.
 Required Qualifications
  • Strong SQL Server and Snowflake development experience.
  • Experience with Azure Data Factory and cloud-based ETL development.
  • Strong understanding of data warehouse design and migration methodologies.
  • Experience with Azure DevOps, GitHub, and CI/CD best practices.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and collaboration skills.
 Preferred Qualifications
  • Experience with Apache Iceberg.
  • Experience with Power BI Semantic Models.
  • Familiarity with AI-assisted software development tools.
  • Experience working on enterprise-scale cloud migration projects.