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Weekend Amazon Data Engineer Jobs in Toronto, ON

Work directly with APIs, integrations, and data flows to validate real-world use cases ... Troubleshoot complex technical challenges across systems (e.g., Shopify, Amazon, TikTok Shop)

... 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 ...

We are looking for a ML/ AI engineer that will help us in creating new AI solutions for automating ... Data Science application development. * Familiarity with Amazon Web Services including Athena ...

We are looking for a ML/ AI engineer that will help us in creating new AI solutions for automating ... Data Science application development. * Familiarity with Amazon Web Services including Athena ...

... 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 ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Work closely with machine learning engineers and data engineers to design, build, and test models ... Hands-on experience with Huggingface APIs or Amazon Bedrock. * Expert skills of Python, including ...

The engineering team at Smile.io believes in being proud of your code, owning what you ship, and ... Data Layer * PostgreSQL * ElasticSearch * Kafka * Amazon Simple Queue Service * Snowflake

Work closely with product managers, data scientists, and domain experts to define technical ... Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock) * Web application development using Next ...

Showing results 41-60

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:

Full-time

Medical, PTO

Re-posted 14 days ago


Job description

About Us

AfterShip, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, AfterShip is a post-purchase SaaS company on a mission to build the world's leading automation platform for ecommerce merchants.

AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system-giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experiences, and unlock incremental revenue at every post-purchase touchpoint.

AfterShip integrates seamlessly with eCommerce platforms including Shopify and TikTok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses-including Samsung, Gymshark, Mejuri, Dr. Squatch and Alo Yoga-rely on AfterShip to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.

Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.


Your Mission:

As a Sales Engineer at AfterShip, you will play a critical role in launching and scaling our Omnichannel product, one of the company's most important strategic bets. Your primary objective is to support revenue growth and product adoption by partnering closely with Account Executives and Customer Success Managers to clearly articulate AfterShip's value, capabilities, and technical fit.

You will act as a trusted technical advisor and hands-on builder, partnering with Account Executives, Customer Success, and Product to validate, shape, and deliver solutions for mid-market and enterprise customers.

This is a high-impact, customer-facing role within AfterShip's Omnichannelteam, reporting to the Strategic GTM Lead. You will collaborate regularly with colleagues across North America, and APAC. Some meetings outside of local business hours are required to support global alignment; these are planned in advance with consideration for schedules and work-life balance.


What You'll Do:

  • Technical Discovery & Solutioning Engage prospects in a consultative, discovery-led approach
  • Understand business goals, technical architecture, and operational constraints
  • Translate requirements into scalable solution designs
  • Partner with Account Executives to qualify opportunities and drive technical wins
  • Design and deliver tailored demos, solution walkthroughs, and POCs
  • Assess technical fit, risks, and implementation readiness
  • Work directly with APIs, integrations, and data flows to validate real-world use cases
  • Troubleshoot complex technical challenges across systems (e.g., Shopify, Amazon, TikTok Shop)
  • Develop creative workarounds and scalable solutions in ambiguous scenarios
  • Define solution architecture, workflows, and success criteria pre-onboarding
  • Partner with Customer Success to ensure smooth transition and implementation clarity
  • Contribute to SOWs and implementation planning where needed
  • Act as the voice of the customer to Product and Engineering


Who We're Looking For:

  • 4+ years of experience in Sales Engineering, Solutions Architecture, or Technical Consulting within B2B SaaS
  • Proven experience supporting customer-facing technical discovery, evaluations, and implementations for mid-market or enterprise customers
  • Strong understanding of APIs, integrations, and data flows (REST, webhooks, JSON), with the ability to validate real-world use cases
  • Experience designing and troubleshooting multi-system integrations across platforms (e.g., Shopify, Amazon, TikTok Shop, ERP/OMS systems)
  • Familiarity with modern SaaS architectures and event-driven workflows
  • Ability to clearly communicate technical concepts, trade-offs, and solution designs to both technical and business stakeholders
  • Builder & Omnichannel Mindset
  • Hands-on experience building, testing, and troubleshooting solutions in complex, cross-system environments
  • Highly resourceful, adaptable, and solutions-oriented; thrives in ambiguity and fast-changing environments
  • Comfortable working across multiple channels, systems, and data sources to deliver end-to-end solutions
  • Collaboration & GTM
  • Experience partnering with Sales, Customer Success, and Product to support deal cycles and implementations
  • Ability to manage multiple customer engagements and operate effectively in a global, distributed team
  • Experience with eCommerce, logistics, or marketplace ecosystems (Shopify, Amazon, TikTok Shop)
  • Exposure to backend/frontend technologies (e.g., Node.js, Java, React) and ability to collaborate with engineering
  • Familiarity with security, privacy, or data compliance (e.g., GDPR)
  • Mandarin proficiency strongly preferred


At AfterShip, we know great talent doesn't always fit every requirement. If you're passionate about our mission and believe you can make an impact, we encourage you to apply.

Why You Should Join Us:

  • Great Place to Work Certified: We've been recognized for our inclusive, values-driven culture that celebrates diversity and collaboration.
  • Innovative & Inclusive Culture: Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and collaboration. We're a passionate, global team of problem solvers who put egos aside to innovate together. We take immense pride in fostering a culture that's inclusive, which has allowed us to surround ourselves with the industry's most talented professionals.
  • Ambitious Mission with Real Impact: Join us in transforming eCommerce by making buying and selling easier for everyone. It's one of the most dynamic spaces in tech, with limitless opportunities to innovate and grow.
  • Thrive & Grow: There's no ceiling to what you can achieve or learn here. We're committed to empowering your career while advancing together as a company.
  • Flexible Work Setup: We're a remote-first team, meaning by default that employees work from home or on a hybrid-flexible basis in our hub locations. You're empowered to choose a work setup that works best for you and your team. With flexible hours depending on your time zone, you'll be able to have a schedule that fits your working style and the requirements of your role.

Perks:

  • Competitive compensation
  • Remote-first/hybrid-flexible work setups
  • Healthcare coverage offered from day 1
  • Unlimited PTO
  • Annual learning & wellness benefit
  • Monthly book perk
  • Career progression & professional development
  • In-office lunch and commuter benefits for those located in our hub locations

We are an equal opportunity employer and provide accommodations upon request throughout the recruitment process, in accordance with local legislation. Please let us know if you require any support, and we'll work with you to meet your needs.

Salary range for this role: CAD $130,000 - $175,000 OTE

We are an equal opportunity employer and provide accommodations upon request throughout the recruitment process, in accordance with local legislation. Please let us know if you require any support, and we'll work with you to meet your needs.

We believe in hiring right over hiring fast. While timelines may vary, we're looking to fill this role as soon as possible. 

Our hiring process uses AI to help with initial resume screening and to support interview note-taking. These tools help our team stay organized and fair, but all hiring decisions are made by people.

This job vacancy is a backfill position.