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

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 ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer: Brillio is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you will get to ...

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 ...

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 ...

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 ...

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 ...

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 ...

Amazon

Data Engineer II, Data Management Team

Seattle, WA · On-site

$130K - $156K/yr

In this role, the ideal candidate will be responsible for developing and managing big data systems using advanced data engineering knowledge in the data warehousing space and redefining best ...

Microsoft

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the ... Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments.

Amazon

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

BASIC QUALIFICATIONS - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience with one or more query ...

Amazon

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

... PVA Data Engineering team In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS ...

Amazon

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

... PVA Data Engineering team In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS ...

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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 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:
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 Platform Engineer

Astronomer

Seattle, WA • On-site

$200K - $250K/yr

Full-time

Re-posted 22 days ago

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to work with cutting-edge technology, help customers solve complex data challenges, and influence our product's evolution through client feedback. This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow.
What you get do:
  • Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
  • Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.
  • Drive Community Impact: Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
  • Influence Product Direction: Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform.
  • Develop and Grow: Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects.

What you bring to the role:
  • Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands-on experience or working knowledge of Apache Airflow in a customer environment.
  • Experience and Expertise: 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau.
  • Effective Communication: Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences.
  • Curiosity and Customer Empathy: A genuine desire to understand customer needs, patience, and empathy to support them through challenges.
  • Drive to Innovate: Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry.

Bonus points if you have:
  • Hands-on Python scripting skills for data pipeline support.
  • Experience with open-source data tools.
  • Background in designing data workflows in a production environment.
  • Customer-facing experience in a technical or consultative role.
  • Experience working with Command Line Interfaces (CLI).

The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Remote
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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