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Weekend Data Engineer Contract Jobs in Seattle, WA

AWS Data Engineer (Senior)

Seattle, WA · On-site

$120K - $163K/yr

Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This is a senior role in our Data Platform Modernization pillar: consolidating and ...

AWS Data Engineer (Senior)

Seattle, WA · On-site +1

$120K - $163K/yr

Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This is a senior role in our Data Platform Modernization pillar: consolidating and ...

AWS Data Engineer (Senior)

Seattle, WA · Remote

$108K - $147K/yr

Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This is a senior role in our Data Platform Modernization pillar: consolidating and ...

Our wide network of consultants and contract-to-hire engineers brings deep expertise across ... The project will focus on technical turnover with data surrounding products, authoring process ...

Test Engineer

Bellevue, WA · On-site

$52 - $85/hr

Contract Position Overview System One is seeking a Test Engineer to support cutting-edge testing ... Analyze test data and prepare detailed technical reports. * Support the setup, commissioning, and ...

Data Architect

Seattle, WA · On-site

$80 - $100/hr

Contract Type: 1099 Independent Contractor (Individual Consultant Only) | C2C: Not Accepted ... Collaborate with enterprise architects, security architects, integration teams, developers, vendors ...

Test Engineer

Bellevue, WA · On-site

$52 - $85/hr

Contract Position Overview System One is seeking a Test Engineer to support cutting-edge testing ... Analyze test data and prepare detailed technical reports. * Support the setup, commissioning, and ...

Showing results 41-60

Weekend Data Engineer Contract information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do weekend data engineer contract jobs pay per year?

As of Sep 6, 2026, the average yearly pay for weekend data engineer contract 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 a Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

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

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

What are popular job titles related to Weekend Data Engineer Contract jobs in Seattle, WA?

For Weekend Data Engineer Contract jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer Contract jobs in Seattle, WA look for?

The top searched job categories for Weekend Data Engineer Contract jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Weekend Data Engineer Contract jobs?

Cities near Seattle, WA with the most Weekend Data Engineer Contract job openings:

Infographic showing various Weekend Data Engineer Contract job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 63% Full Time, 20% Part Time, 1% Temporary, and 15% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineer, Amazon Prime Video Product Analytics

Amazon

Seattle, WA • On-site

Full-time

Re-posted 16 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Prime Video is changing the way customers watch movies, TV shows, live events, and channels-offering unparalleled choice and convenience across devices such as Fire TV, mobile phones, game consoles, and connected TVs. We deliver world-class viewing experiences to customers in over 240 countries and territories.
The Prime Video Product Analytics (PVPA) team is a centralized analytics organization supporting the Prime Video Product organization. We bring together Business Intelligence Engineers, Data Engineers, and Data Scientists to deliver comprehensive data tools and insights that drive product decisions and enhance customer experience

Our work spans the full analytics lifecycle-from data infrastructure and pipeline development to advanced analytics, customer insights modeling, AI-driven solutions, and self-service reporting.
This role sits within the PVPA team focused on out-of-app engagement and full-funnel customer journey analytics. Our mission is to understand and optimize how customers discover, engage with, and return to Prime Video-connecting off-app marketing touchpoints (such as email, push, a.com, WhatsApp, search engines, and paid media) with in-app behavior and engagement to build a complete, end-to-end view of the customer experience. We harness data across this full funnel-from acquisition and onboarding through long-term retention-to inform personalization, measure customer engagement and channel effectiveness, and deliver the right content to the right customer at the right time.
Key job responsibilities
We are looking for a highly motivated and experienced Data Engineer II to join the PVPA team

In this role, you will be responsible for building and maintaining the data infrastructure that powers Prime Video's out-of-app and full-funnel customer journey analytics. You will own critical datasets and pipelines that directly support analytics, experimentation, and machine learning use cases, enabling smarter targeting, personalization, and measurement.
As a Data Engineer on the PVPA team, you will:
* Design, implement, and maintain scalable and reliable data models and ETL pipelines that span the full customer funnel-including the reporting layer for the out-of-app messaging platform and other PV marketing channel infrastructure.
* Build and enhance the AI tooling and analytics products to enable self-serve and improved efficiency.
* Partner with engineering and dependency teams to define data contracts, ensure upstream data reliability, and proactively manage communication and change coordination for data schema updates.
* Collaborate with Business Intelligence Engineers and Data Scientists to deliver clean, structured data for dashboards, reporting, experimentation, full-funnel attribution, and ML use cases.
* Monitor pipeline health, resolve job and cluster issues, and improve automation, testing, and observability to increase system resilience.
* Champion data engineering best practices across the team-including documentation, version control, peer reviews, and operational excellence.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US