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

Archgroup

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 ...

Meta

Data Engineer, Product Analytics

Seattle, WA · On-site +1

$147K/yr

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 ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$147K/yr

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 ...

Meta

Data Engineer, Product Analytics

$177K/yr

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 ...

Meta

Data Engineer, Product Analytics

Redmond, WA · On-site +1

$147K/yr

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 ...

Astronomer

Data Platform Engineer

Seattle, WA · On-site

$200K - $250K/yr

Conduct demos and provide technical guidance to engineering teams, showing them how our platform ... Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration ...

Deloitte

Sr Databricks Data Engineer

Seattle, WA

$130K - $156K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer ...

Meta

Data Engineer, Analytics (Ranking, AI)

Bellevue, WA · On-site

$177K/yr

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 ...

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role Overview This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics ...

Zortech Solutions

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis * and strong knowledge of Data Warehousing Concepts * Customer facing code development and ...

Georgia IT, Inc.

Data Engineer- Seattle WA

Seattle, WA · On-site

$130K - $156K/yr

... data engineering, cloud services, and modern DevOps processes. Qualifications : Required : • 5+ years of experience as a Data Engineer or in a similar data-focused role. • Strong hands-on ...

BakerHostetler

Data Solutions Engineer

Seattle, WA · On-site

$130K - $156K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

Goli Tech

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Monitor and troubleshoot data engineering-related incidents * Support development and maintenance of relevant documentation * Participate in knowledge transfer activities, issues, and risks ...

Pwc

Data Engineer - Senior Manager

Seattle, WA · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Apple Inc.

Staff Data Engineer

Seattle, WA · On-site

$180 - $230/hr

Our job is to turn all of that into one prioritized backlog engineering teams can work from, and a posture picture leadership can trust.Most of that job is data work. Signal arrives from dozens of ...

Spark Tek Inc

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... data engineering-related incidents • Support development and maintenance of relevant documentation • Participate in knowledge transfer activities, issues, and risks • Technical leadership for ...

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Showing results 41-60

All JobsData Engineering JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Seattle, WA

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:

Weekend Data Engineering jobs near you
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.

Data Engineer (GCP, BigQuery, Snowflake, Azure, Delta)

3B Staffing LLC

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 5 days ago

Job description

Data Engineer (GCP, BigQuery, Snowflake, Azure, Delta)

Location: Seattle, WA - hybrid (local only)

***MUST HAVE INDUSTRY EXPERIENCE in ECOMMERCE/RETAIL***

(GCP, BigQuery, Snowflake, Azure, Delta)

As an Engineer II, you will bring a high level of technical knowledge, but also an ability to spread knowledge to your co-workers. You will help form the core of our engineering practice at the company by contributing to all areas of development and operations (pre-production to production). You will be an example of what good engineering looks like and help others around you refine their skills. You will be part of a day-to-day production release team and may perform on-call support functions as needed. Having a DevOps mindset is the key to success in this role, as Engineers are commonly part of full DevOps teams that "own" all parts of software development, release pipelines, production monitoring, security and support.

  • Data Engineering Projects
  • Data pipeline creation and maintenance. Stack: Google Cloud Platform (GCP), Azure Cloud, Azure Databricks, Snowflake
    • Includes engineering documentation, knowledge transfer to other engineers, future enhancements and maintenance
  • Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other teams to consume
  • Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog
  • Leverage existing CICD process for pipeline deployment
  • Adhere to PII encryption and masking standards
  • Data Engineering Tools/Techniques
  • Orchestration tools- ADF, AirFlow, FiveTran
  • Languages- SQL, Python
  • Data Modeling- Star and Snowflake Schema
  • Streaming- Kafka, EventHub, Spark, Snowflake Streaming
  • DevOps Support
  • Support improvements to current CICD process
  • Production monitoring and failure support
  • Provide an escalation point and participate in on-call support rotations
  • Participate in discussions on how to improve DevOps
  • Be aware of product release and how that impacts our business
  • Take part in Agile ceremonies
  • Perform engineering assignments using existing procedures and best practices
  • Conduct research to aid in product troubleshooting and optimization efforts
  • Participate in and contribute to our Engineering Community of Practice

Qualifications:

  • Completed Bachelor's degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible
  • 5+ years of relevant engineering experience
  • Google Professional Data Engineer Certification is preferred
  • Experience in Big Table, ClickStream data migration, Semi-Structured and Un-Structured data management
  • Experience with Google GCP and BigQuery
  • Experience with developing complex SQL queries
  • Experience with CI/CD principles and best practices
  • Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts.
  • Experience working with a Data Engineering team and understanding of Data Engineering practices.
  • Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
  • Experience with bug tracking and task management software such as JIRA, etc.
  • Experienced in managing outages, customer escalations, crisis management, and other similar circumstances.

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