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Weekend Amazon Data Engineer Jobs in Worcester, MA

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Weekend Amazon Data Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

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

As of Aug 21, 2026, the average yearly pay for weekend amazon data engineer in Worcester, MA is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 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 Worcester, MA are hiring for Weekend Amazon Data Engineer jobs?

Cities near Worcester, MA with the most Weekend Amazon Data Engineer job openings:

Interdisciplinary Sys Engineer, Global Engineering HW Solutions

Amazon

Westborough, MA

Full-time

Re-posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,105 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

As an Interdisciplinary System Engineer within Amazon Robotics, you will own the system design and discrete event modeling that drive critical deployment and design decisions at scale. You will leverage commercial simulation tools (AnyLogic, FlexSim, or equivalent) to model complex deployment processes, identify critical-path constraints, and recommend optimized sequencing strategies that reduce cycle time and cost across Amazon Robotics programs. You will also develop workcell operational models that quantify OEE (Overall Equipment Effectiveness) metrics sensitivity to hardware components and operational exceptions, enabling rapid, data-driven design iterations in early-stage development.

You will be driving design decisions using the models you develop.
This role requires a unique blend of simulation expertise, systems engineering, and the ability to translate complex model outputs into actionable recommendations for cross-functional stakeholders including deployment teams, hardware engineers, and program leadership.
Key job responsibilities
- Own end-to-end discrete event simulation (DES) development using AnyLogic, FlexSim, or equivalent software to model deployment processes, workcell operations, and system-level workflows across Amazon Robotics programs.
- Identify critical path constraints through simulation analysis, providing data-driven recommendations to reduce deployment cycle time and cost while maintaining quality and safety standards.
- Develop optimized deployment sequencing strategies by modeling scenarios and trade-offs to inform resource allocation, task ordering, and contractor scheduling decisions.
- Build workcell operational models with OEE sensitivity analysis against hardware components, operational exceptions, and process variability.
- Conduct scenario analysis to project hardware design change impacts on OEE metrics, quantify uncertainty, and reduce costly physical prototyping cycles.
- Partner cross-functionally with deployment engineers, hardware design teams, manufacturing, operations, and program managers to validate model inputs and align outputs with real-world constraints.
- Communicate complex simulation results through clear visualizations, reports, and presentations for both technical and non-technical audiences.
- Establish best practices for simulation model development, validation, and version control.
- Contribute to system design reviews with simulation-informed insights on workcell layout, hardware integration, and process architecture

Apply systems engineering principles to analyze end-to-end manufacturing-to-installation dependencies.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

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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