1

Weekend Data Engineering Jobs in Seattle, WA (NOW HIRING)

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

$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 ...

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 ...

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 ...

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 ...

New

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Partner with Product, Engineering, and Data Platform teams to align architecture and shared capabilities * Translate business and operational needs into clear technical requirements and solutions

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

Come be part of Amazon's International Seller Services (ISS) Central Analytics Data Engineering team, where we tackle modern data challenges by combining traditional engineering practices with ...

Data Engineer II

Bellevue, WA · On-site

$144K - $180K/yr

Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. * Code, test, and detail new or modified data systems to build robust and ...

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 ...

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 ...

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Description Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering ... We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Principal Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Job Qualifications: * 8+ years of experience in data engineering, data warehousing, or cloud data architecture. * 3+ years of hands-on experience with Snowflake, including architecture, performance ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Data Pipeline Engineer

Redmond, WA · On-site

$113K - $187K/yr

This opportunity will allow you to deepen your expertise in cloud data platforms, data engineering, and large-scale analytics solutions while contributing to Microsoft's customer success mission.

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 Aug 13, 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.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as organizations 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 or Kafka enhance employability in this schedule. Demand depends on industry needs and company size, but data engineering remains a critical role across sectors.

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.

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.

AI Data Engineer 3

Team Red Dog

Redmond, WA • On-site

$128K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Job description

Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Data Engineer 3 opening with one of our long-term enterprise technology clients. 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 operations. This role will help design and optimize scalable data platforms that power reporting, analytics, automation, and enterprise decision-making across complex environments. The ideal candidate will bring strong expertise in SQL, modern data integration, and cloud data engineering while collaborating cross-functionally with engineers, analysts, and business stakeholders to deliver reliable, analytics-ready solutions.
Top Required Skills (Must Haves):
  1. SQL and Relational Database Development - Strong experience designing, optimizing, and maintaining relational databases, schemas, and enterprise-scale data models to support analytics and reporting solutions.
  2. ETL/ELT Pipeline Development and Data Integration - Proven ability to build, automate, and support scalable ETL/ELT workflows that ingest, transform, validate, and deliver analytics-ready datasets across multiple enterprise systems.
  3. Python or Shell Scripting - Hands-on scripting experience used for automation, workflow orchestration, data transformation, monitoring, and troubleshooting of enterprise data pipelines.
  4. Cloud Data Platforms and Enterprise Data Engineering - Experience working with modern cloud-based data environments and enterprise data infrastructure to improve scalability, reliability, governance, and accessibility.

Opportunity Overview:
This role offers the opportunity to work on large-scale enterprise data initiatives that support analytics, reporting, AI/ML programs, and business intelligence across a modern technology environment. The AI Data Engineer will play a key role in modernizing data infrastructure, improving data quality and accessibility, and building scalable solutions that enable business teams to make informed, data-driven decisions. This position provides exposure to enterprise cloud technologies, cross-functional collaboration, and impactful data engineering projects supporting long-term innovation initiatives.
How you will make an impact:
• Collaborate with technical teams, analysts, and business stakeholders to gather requirements and support enterprise data initiatives
• Design, develop, automate, and maintain scalable ETL/ELT pipelines and enterprise data workflows
• Build and optimize logical and physical database structures, schemas, and data models
• Support ingestion, transformation, cleansing, and validation of structured and semi-structured data from multiple sources
• Troubleshoot and resolve data quality, pipeline performance, and integration issues across enterprise systems
• Modify and enhance existing databases, ETL processes, and data management systems to improve scalability and reliability
• Perform testing, validation, and monitoring of data pipelines and database systems to ensure data accuracy and integrity
• Create and maintain technical documentation related to data pipelines, database objects, workflows, and processes
• Partner with data analysts, engineers, and data scientists to provide clean, reliable, and analytics-ready datasets
• Support implementation of best practices for data governance, security, and process optimization
The expertise you bring:
• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related technical field required
• 5-7 years of experience in data engineering, ETL development, database engineering, analytics engineering, or related technical work
• Strong experience with relational databases and database technologies
• Experience building and maintaining ETL/ELT pipelines and enterprise data integration workflows
• Proficiency in SQL and at least one scripting/programming language such as Python or Shell scripting
• Experience working with cloud-based data platforms and modern data environments preferred
• Strong troubleshooting, analytical, and problem-solving abilities
• Strong written and verbal communication skills with the ability to collaborate cross-functionally
• Experience supporting enterprise-scale databases, cloud platforms, and data integration tools preferred
• Demonstrated success supporting data-driven business initiatives and analytics solutions
What makes a candidate highly successful in this role:
Successful candidates are highly analytical, proactive, and capable of managing complex enterprise data workflows with minimal oversight. They bring strong technical depth in SQL, ETL/ELT development, cloud data platforms, and scripting while also demonstrating excellent communication and collaboration skills across technical and business teams. Candidates who stand out typically have experience improving data quality, optimizing large-scale data systems, automating processes, and delivering scalable analytics-ready solutions in fast-paced enterprise environments.
Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions-because we believe your career should reflect who you are.
Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us-and discover what it means to be genuinely valued in your career.
Generous benefits package for qualified employees includes:
• Health insurance (medical, dental, vision, and life)
• Employer-matched 401K plan
• Paid time off
• Paid holidays
Estimated Start Date:
June 2026 (Estimate)
Location:
Fully Remote (Preferred PST or EST)
Job #: 2523
Job Type and Estimated Duration:
W2 contract opportunity through June 30, 2027 expected - subject to performance, budget and client discretion.
Rate:
$65/hr - $75/hr
Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.
We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.
• All applicants must be authorized to work in the U.S. without the need for sponsorship.
• Team Red Dog is an E-Verify employer.
• Employment is contingent upon the successful completion of a reference and background check.
• Please no solicitations from C2C or recruiting firms.