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Weekend Amazon Data Engineer Jobs in Toronto, ON

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, delivering ... You will work at the intersection of large-scale data systems, Generative AI, and production agent ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, delivering ... You will work at the intersection of large-scale data systems, Generative AI, and production agent ...

... Conduct deep data analysis to derive insights to the business, and identify gaps and new ... and engineering organization within Amazon Advertising Sales that powers selling motions and ...

Data Product Lead

Oakville, ON · Hybrid

CA$150K - CA$190K/yr

Comfort operating across functions - as fluent with a sales leader as with a data engineer. * Clear ... EunafierDays Twice a year, you get an extra day tacked onto a long weekend. Simple reason: people ...

... data, and perform statistical analysis - Improve the scalability, efficiency and automation of ... About the team Sales AI is a central science and engineering organization within Amazon Advertising ...

... AI data center projects in one of the fastest-growing industries. * Collaborate with industry-leading engineers and global technology clients including Microsoft, Oracle, Uber, and Amazon ...

Showing results 21-40

Weekend Amazon Data Engineer information

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 are the most commonly searched types of Amazon Data Engineer jobs in Toronto, ON?

The most popular types of Amazon Data Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Weekend Amazon Data Engineer jobs?

Cities near Toronto, ON with the most Weekend Amazon Data Engineer job openings:

Software Development Engineer, Retailer Ad Service

Amazon

Toronto, ON • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Amazon Retail Ad Service team is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace

If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
We are looking for engineers for a confidential new advertising program that will have significant strategic impact to the Amazon Ads business. You will work backwards from customers, collaborate with technical teams across Amazon Ads to design and implement solutions, and deeply analyze the results. You will also evangelize new features and communicate technical priorities to senior leadership

You will deal with some of the toughest and most inspiring challenges of your career as you invent a new value proposition, real time systems and big data paradigms, and scale for growth.
We are looking to hire for this role in Toronto.
Key job responsibilities
Together with your scrum, you will prototype and develop new components using the latest event-driven and server-less technologies. You will develop both real time and petabyte scale big data systems working directly with different types of technology. You will design, launch, own and evolve software that serves both the interests of customers and advertisers

You'll work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best.
A day in the life
You will have a mix of designing and setting up new services, integrating with partner teams, and running spike efforts to plan future initiatives. There is lots to build and learn, so expect to drive multiple initiatives as you gain experience in the space.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US