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Weekend Amazon Data Engineer Jobs in Seattle, WA

Data Engineer I, Fire TV

Seattle, WA · On-site

$130K - $156K/yr

... Amazon's fastest-growing product families. This is an excellent opportunity for an engineer who is early in their career and eager to develop strong data engineering fundamentals in a high-impact ...

Data Engineer I, Fire TV

Seattle, WA · On-site

$130K - $156K/yr

... Amazon's fastest-growing product families. This is an excellent opportunity for an engineer who is early in their career and eager to develop strong data engineering fundamentals in a high-impact ...

Data Engineer, AWS GDSP A&I

Seattle, WA · On-site

$130K - $156K/yr

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in ... As a Data Engineer on this team, you will drive efficiency in data handling processes, setup ...

Data Engineer, WW Ops Finance - S&A

Bellevue, WA · On-site

$129K - $155K/yr

As a Data Engineer in WW Ops S&A, you will design, implement, and maintain scalable data ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate ... Mentor other engineers, influence positively team culture, and help grow the team.

Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate ... Mentor other engineers, influence positively team culture, and help grow the team.

Data Engineer, WW Ops Finance S&A

Bellevue, WA · On-site

$129K - $155K/yr

As a Data Engineer in WW Ops S&A, you will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Supply Chain Operations business You will ...

Data Engineer, WW Ops Finance S&A

Bellevue, WA · On-site

$129K - $155K/yr

As a Data Engineer in WW Ops S&A, you will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Supply Chain Operations business You will ...

Data Engineer, PV Prime Video TV - Tech

Seattle, WA · On-site

$130K - $156K/yr

Do you want to define the next generation of how and what Amazon customers are watching? Prime ... As a Data Engineer, you will work in one of the world's largest and most complex data warehouse ...

Data Engineer, AWS GDSP A&I

Seattle, WA · On-site

$130K - $156K/yr

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in ... As a Data Engineer on this team, you will drive efficiency in data handling processes, setup ...

Data Engineer, AWS GDSP A&I

Seattle, WA · On-site

$130K - $156K/yr

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in ... As a Data Engineer on this team, you will drive efficiency in data handling processes, setup ...

Data Engineer I, Fire TV

Seattle, WA · On-site

$101 - $160/hr

... Amazon's fastest-growing product families. This is an excellent opportunity for an engineer who is early in their career and eager to develop strong data engineering fundamentals in a high-impact ...

... data integrity. • Learn and understand a broad range of Amazon's data resources and know how ... BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent ...

Showing results 41-60

Weekend Amazon Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Sep 5, 2026, the average yearly pay for weekend amazon data engineer 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 Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

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

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

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

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

Data Engineer I, Fire TV

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 11 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,151 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Fire TV, Advertising and Appstore is reshaping the way millions of people discover, engage with, and enjoy entertainment every day. The FAA Decision Science organization is looking for a Data Engineer who is excited to build the data infrastructure powering analytics, experimentation, forecasting, and business decision-making for one of Amazon's fastest-growing product families.
This is an excellent opportunity for an engineer who is early in their career and eager to develop strong data engineering fundamentals in a high-impact environment.

You will contribute to foundational data systems used by Data Science, Business Intelligence, Product, Finance, Advertising, and Engineering teams to make high-quality business decisions.
You will build and operate data pipelines, data models, and data quality mechanisms supporting Fire TV engagement, lifecycle analytics, Ads monetization, Appstore performance, executive reporting, experimentation, and AI-enabled analytics. The ideal candidate has solid technical foundations, a willingness to learn, an eye for operational reliability, and the ability to work effectively with cross-functional teammates to translate requirements into working data solutions.


Key job responsibilities
Contribute to the design, development, testing, and deployment of data pipelines and datasets within a defined domain, including the data foundations for GenAI and agentic analytics, working alongside senior engineers
Build and maintain ETL/ELT workflows using SQL, Python, and AWS services
Support data infrastructure operations, including monitoring, alerting, and data quality controls
Investigate and resolve data quality issues, escalating complex problems or architectural trade-offs when appropriate
Partner with Data Science, Business Intelligence, Product, and Engineering stakeholders to understand requirements and implement reliable data solutions
Contribute to conversational and self-service analytics data products
Support compliance, privacy, retention, and governance requirements for data you own or contribute to
Clearly document your solutions to ensure ease of use and maintainability by others
Participate in code reviews, design discussions, and team planning
Participate in on-call and product support for business-critical pipelines and datasets
Build and curate datasets and documentation that AI assisted analytics tools consume
Use AI-assisted development tools to accelerate how you build, test, and debug pipelines


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