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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 ...

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Stay updated with the latest data engineering technologies and trends and share your insights with the team * Support the vision and values of the company through role modeling and encouraging ...

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 ...

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 ...

Principal Data Engineer

Seattle, WA · On-site

$178K - $312K/yr

Principal Data Engineer Job Location: 300 Elliott Avenue W., Seattle, WA 98119 Duties: Understands the priority order of requirements and service level agreements. Defines and identifies the most ...

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data Engineering team leading the development of new translational data infrastructure, integrations, and user ...

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 IV

Seattle, WA

$130K - $156K/yr

The  Data Engineer IV  is a senior member of the Office of the Chief Data Office (OCDO) Data Engineering team leading the development of new translational data infrastructure, integrations, and ...

Data Engineer

Seattle, WA

$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 ...

Staff Software Engineer, Data

Seattle, WA

$130K - $156K/yr

We are seeking a highly experienced principal software engineer, data to design and implement a modern data engineering stack that enables scalable, efficient, and high-performance data processing.

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 · Hybrid

$125K - $140K/yr

SUMMARY The Data Engineer owns the end-to-end data platform, building high-scale pipelines, optimizing cloud resources, and ensuring that analysts and executives have trusted, timely data. You will ...

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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 Jul 13, 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 are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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 are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Seattle, WA? For Data Engineer Data jobs in Seattle, WA, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.
Snowflake Data Engineer / Data Migration Engineer

Snowflake Data Engineer / Data Migration Engineer

Conch Technologies Inc

Tukwila, WA • On-site

$129K - $155K/yr

Contractor

Posted 3 days ago

New


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.