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Weekend Amazon Data Engineer Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

Amazon

Data Engineer, Marketplace

Austin, TX · On-site

$113K - $136K/yr

The AWS Marketplace team is looking for a Data Engineer to play a key role in building insights ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral ... As a Data Engineer on PXTCS, you'll work side by side with economists, data scientists, software ...

Amazon

Data Engineer, CIA-Core Engine

Austin, TX · On-site

$113K - $136K/yr

Join our Operations Technology Infrastructure Engineering team and help build the invisible scaffolding that powers Amazon's global network and device infrastructure. As a Data Engineer, you'll ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer II, Creator Services

Culver City, CA · On-site

$125K - $150K/yr

Amazon's Creator Services leads creator programs that span media, commerce, and culture. The ... We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production ...

Amazon

Data Engineer II, Creator Services

Culver City, CA · On-site

$125K - $150K/yr

Amazon's Creator Services leads creator programs that span media, commerce, and culture. The ... We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production ...

Amazon

Data Engineer II, Creator Services

Culver City, CA · On-site

$125K - $150K/yr

Amazon's Creator Services leads creator programs that span media, commerce, and culture. The ... We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production ...

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Weekend Amazon Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 1, 2026, the average yearly pay for weekend amazon data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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 are hiring for Weekend Amazon Data Engineer jobs?

Cities with the most Weekend Amazon Data Engineer job openings:

What are the most commonly searched types of Amazon Data Engineer jobs?

The most popular types of Amazon Data Engineer jobs are:

What states have the most Weekend Amazon Data Engineer jobs?

States with the most job openings for Weekend Amazon Data Engineer jobs include:

Weekend Amazon Data Engineer jobs near you

Data Center Cluster Operations Leader, AWS Data Centers

Amazon

Benton, LA • On-site

Full-time

Posted 15 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,133 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Cluster Operations Leader manages Amazon Data Center Clusters and Colocation Operations within their assigned region. As the senior Infrastructure Operations leader, they oversee safety, security, availability, scaling, efficiency, and cost management.
Infrastructure Operations consists of two core functions: Data Center Operations (DCO) and Data Center Engineering Operations (DCEO). DCO manages server-level platforms supporting Amazon Retail and Amazon Web Services, while DCEO handles mechanical, electrical, and controls systems for critical environments

We seek a leader with experience on both DCO and DCEO systems. Though operating independently, a physical security team works closely with these functions to protect people, assets, and customer data.
The Cluster Operations Leader builds and leads high-performing teams across these functions. They manage daily operations while applying technical expertise to address emerging challenges

Their role requires both strategic oversight and the ability to dive deep into specific issues.
As a vital member of the management team, the Cluster Operations Leader helps scale the world's largest cloud computing infrastructure. The position demands innovation to solve complex daily challenges and drive operational excellence. Success in this role requires strong technical knowledge on both engineering (electrical and mechanical) and compute systems, process optimization skills, and dedication to achieving world-class operational performance.
Key job responsibilities
- Hire, manage, and develop the operations team, including compute and engineering operations managers, and their teams
- Achieve organizational performance goals for safety, security, availability, scaling, efficiency, and cost
- Plan and execute Infrastructure Operations for new Data Centers and Colocation expansions
- Operate and maintain mechanical, electrical, and controls systems in Amazon Data Centers, including preventive maintenance, corrective maintenance, and change management
- Manage Colocation Data Centers service providers to meet or exceed contracted performance SLAs
- Lead safety, security, and availability incident response, management, and resolution
- Improve operational processes, procedures, methods, and tools continuously
About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure

In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.

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

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