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Weekend Data Engineering 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 ...

NOSQL Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The role requires extensive experience in data engineering and expertise in NoSQL databases to support data platforms and related projects. Qualifications : Required : • 7+ years of professional ...

Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions. * Own end-to-end data quality by identifying ...

Staff Software Engineer, Data

Seattle, WA · On-site

$130K - $156K/yr

Drive data engineering best practices including Data Discovery, Naming Conventions, Data Quality frameworks, Operational Excellence, and Security standards. * Make architectural trade-offs between ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Staff Software Engineer, Data

Seattle, WA · On-site

$175K - $400K/yr

Drive data engineering best practices including Data Discovery, Naming Conventions, Data Quality frameworks, Operational Excellence, and Security standards. * Make architectural trade-offs between ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

... data engineering. The role involves designing and implementing data pipelines, troubleshooting data issues, and communicating complex information to various stakeholders. Responsibilities : • ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... engineering vertical, executing solution designs and building data models and visualizations under guidance. Responsibilities : • Execute assigned components of solution designs handed off by ...

C#/.NET and Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Must Have Technical/Functional Skills Data Engineering; PL/SQL; ADF; Digital : Azure Databricks; ASP.NET 2.0; C# 4.0 Roles & Responsibilities Software Engineering (C#/.NET) Strong experience ...

Azure Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The role requires strong experience in Azure and Databricks, focusing on data engineering responsibilities. Qualifications : Required : • 10+ yrs of IT experience • Minimum 3 yrs of experience in ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Implement data governance quality and security best practices across all data engineering processes * Lead the integration of cloudnative data services eg Azure Synapse ADLS Azure SQL Cosmos DB into ...

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

In this role, you will be on the cutting edge of data engineering-thinking, designing, and documenting data marts. We are looking for a dynamic, forward-thinking engineer who is passionate about the ...

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

In this role, you will be on the cutting edge of data engineering-thinking, designing, and documenting data marts. We are looking for a dynamic, forward-thinking engineer who is passionate about the ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Required Skills & Experience: * 6+ years of experience in Data Engineering or related roles. * Strong proficiency in SQL (complex queries, tuning, and optimization). * Hands-on experience with ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on Azure * Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Showing results 21-40

Weekend Data Engineering information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do weekend data engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for weekend data engineering in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

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

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

Infographic showing various Weekend Data Engineering job openings in Seattle, WA as of August 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $147,621 per year, or $71 per hour.

Snowflake Data Engineer / Data Migration Engineer

Conch Technologies Inc

Tukwila, WA • On-site

$129K - $155K/yr

Contractor

Re-posted 27 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.