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Added 3 months ago
S
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
- Full-time
…directly with strategic customers to turn business problems into production AI and data systems. This is a highly technical, customer-facing role for someone who can move between customer…
Added 2 months ago
CT
Senior Software Developer - Full Stack Web Application
CIeNET Technologies
Markham, ON
- $100,000 to $150,000 CAD / year
- Full-time
Take ownership of features throughout the software development lifecycle, from design to production support
Added 2 months ago
T
Java Developer, TD Securities
TD
Toronto, ON
- Full-time
…Reconciliation. We do this by designing, developing, and enhancing java based microservices that support different payments applications. We're a specialized team of builders with a focus…
Added 2 months ago
Director - Solution Delivery, Wealth Management
Scotiabank
Toronto, ON
Embed modern engineering practices - including DevOps, automation, and CI/CD - to improve production support, reduce operational risk and cost, and enhance system security, availability,…
Added 2 months ago
Software Engineer, Full-Stack Applications, Associate Director
Fitch Group
Toronto, ON
As a member of our Ratings Technology team, you will work on modern full-stack applications that support core business capabilities, partnering closely with engineers, product managers, and…
Added 2 months ago
JG
Clarity PPM Developer
J&M Group
Toronto, ON
- Full-time
Responsibilities: Gather requirements, troubleshoot issues, optimize performance, perform upgrades/enhancements, and provide production support.
Added 2 months ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
Join our fast‑growing Toronto innovation hub, where we’re building production‑grade AI to reshape global credit decisions. Here, you won’t just ship features - you’ll help reinvent an…
Added 2 months ago
S
Lead Data and AI Engineer
Sanofi
Toronto, ON
- Full-time
Design, build, deploy, and support scalable data pipelines and data products that enable analytics, AI/ML, and commercial business use cases
Added 2 months ago
C
Java Developer (contract)
Capgemini
Montreal, QC
- Contract
Support the full SDLC, including development, testing, deployment, and production support.
Added 2 months ago
JG
Dev Lead
J&M Group
Toronto, ON
- Contract
We are hiring a Dev Lead with strong expertise in application development and maintenance, with hands-on experience in Java/J2EE, Spring Boot, REST APIs, Microservices, AWS, and NodeJS. The…
Added 2 months ago
C
Senior Java Developer
Citi
Mississauga, ON
- Full-time
We are seeking a highly experienced and motivated Lead Java Developer with 6+ years of industry experience to spearhead the development of robust, scalable, and innovative enterprise…
Added 2 months ago
C
Senior Lead Java Fullstack Software Engineer
Citi
Mississauga, ON
- Full-time
Exposure to observability practices (logging, metrics, tracing) and production support
Added 2 months ago
E
Data Engineer
eBay
Toronto, ON
- Full-time
Own projects end-to-end: Drive major data engineering initiatives from architecture and design through implementation, testing, deployment, monitoring, and long-term production support.
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
Hands-on core Java development with responsibilities for the design, implementation, and support of key components of the Market Risk platform.
Added 2 months ago
JG
Java Technical Lead
J&M Group
Toronto, ON
- Full-time
We are seeking a highly experienced Java Technical Lead with 12+ years of hands-on experience in enterprise application development and production support. The ideal candidate will possess…
Added 2 months ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
Write clean, maintainable and well-tested production code
Added 2 months ago
Software Development Engineer III, Agentic Client Experience (ACE) - Builder Foundations
Amazon
Vancouver, BC
…platforms in order to submit the necessary changes that would support your product and project. ACE is working to simplify this through the use of agentic development practices that…
Added 1 month ago
Senior Software Engineer, Atlas Search Systems
MongoDB
Toronto, ON
A strong sense of ownership over their work, from initial design all the way through maintaining code in production
Added 1 month ago
Senior Java Developer
Localcoin
Canada
…technologies to join our growing Engineering team as our Senior Java Back End…
Added 2 months ago
VV
Java Developer 1016
Veracity Ventures Inc.
Toronto, ON
- Full-time
We are looking for an experienced Java Developer with 5+ years of hands-on experience in designing, developing, and maintaining scalable enterprise applications. The ideal candidate should…
Added 2 months ago
C
Senior Software Engineering Specialist
CGI
Toronto, ON
- Full-time
Build and support cloud-native applications utilizing containers, serverless functions, and distributed system architectures.
Added 2 months ago
JG
Senior AI Engineer Java
J&M Group
Toronto, ON
- Full-time
Implement logging, metrics, tracing, monitoring, and alerting to support production operations.
Added 2 months ago
C
Senior Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
…secure, and operate technology. You will design, implement, and support modern technology platforms that improve software delivery, developer productivity, operational resilience, security,…
Added 2 months ago
C
Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior Full Stack Developer to join our growing Software Engineering Practice within the Emerging Technologies team.
Added 2 months ago
M
Automation Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
As part of a dynamic production team, the engineer is responsible for inter-program cohesion and for the assembly, integration and testing of our space products. From the design phase…

eBay

Data Engineer

Toronto, ON, Canada

C$110,400 - C$147,400 · Full-time

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Job details

Pay: C$110,400 - C$147,400
Job type: Full-time
Experience: 3+ years of professional experience in software engineering or data engineering, with a focus on building data pipelines, distributed systems, or backend services.
Posting language: English
Posted: Aug 21, 2026

Original job description

At eBay, we're more than a global ecommerce leader - we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.

At eBay, we’re more than a global ecommerce leader - we’re changing the way the world shops and sells. Our platform connects millions of buyers and sellers around the world and creates economic opportunity for individuals, entrepreneurs, businesses, and organizations of all sizes.

As we continue our tech-led reimagination of the global marketplace, we’re looking for people who are passionate about solving complex problems, building at scale, and creating experiences that make commerce better for everyone.

About the team and role:

We are looking for a talented and passionate Data Engineer to join our team and help build scalable, reliable data solutions that power critical experiences across eBay.

In this role, you will architect, design, and develop high-performance real-time and batch data pipelines that process massive volumes of data. You will help build the infrastructure that enables real-time insights, analytics, and personalized experiences for millions of users across the eBay marketplace.

You will work with modern data technologies including Kafka, Flink, Spark, Databricks, Airflow, dbt, and AWS, solving challenging engineering problems where scalability, performance, reliability, and data accuracy are essential.

You will own projects throughout the engineering lifecycle and collaborate closely with Data Science, Product, and Engineering teams to translate complex requirements into robust data solutions.

What you will accomplish:

Build data pipelines at scale: Design, develop, and operate robust real-time and batch data pipelines using Kafka, Spark, and Flink to process large volumes of data efficiently and reliably.
Develop reliable data workflows: Build and manage complex workflow orchestration using Airflow, ensuring data is processed accurately and available when downstream systems and teams need it.
Improve data quality and trust: Implement and maintain automated data quality and validation frameworks using technologies such as Monte Carlo, Great Expectations, or similar tools.
Build cloud-native data solutions: Leverage Databricks and AWS to develop scalable data platforms and services that improve developer productivity, system performance, and operational efficiency.
Develop scalable transformations: Build maintainable data transformation workflows using dbt and establish reusable patterns for producing high-quality datasets.
Own projects end-to-end: Drive major data engineering initiatives from architecture and design through implementation, testing, deployment, monitoring, and long-term production support.
Solve complex scalability challenges: Identify technical risks, performance bottlenecks, and future scalability challenges and proactively recommend architectural improvements.
Collaborate across teams: Partner with Data Science, Product, Analytics, and Engineering teams to understand data requirements, influence technical roadmaps, and deliver solutions that create meaningful customer and business impact.
Raise the engineering bar: Advocate for continuous improvement of our data architecture, development practices, tooling, and technology stack.
Build for long-term maintainability: Develop reusable libraries and engineering patterns while maintaining clear documentation for critical systems, pipelines, and architectural decisions.

What you will bring:

3+ years of professional experience in software engineering or data engineering, with a focus on building data pipelines, distributed systems, or backend services.
B.S. or M.S. in Computer Science or a related technical discipline, or equivalent practical experience.
Strong programming experience with Python, Java, and/or Scala, supported by solid computer science fundamentals.
Strong understanding of data structures, algorithms, concurrency, and multithreaded programming.
Hands-on experience building distributed data processing systems using technologies such as Kafka, Spark, and Flink.
Experience developing and operating production data workloads using Databricks.
Hands-on experience designing and deploying solutions in AWS or a comparable cloud environment.
Experience building and managing data workflows using Apache Airflow.
Experience developing data transformations using dbt or similar frameworks.
Familiarity with data observability, quality, and reliability technologies such as Monte Carlo, Great Expectations, or equivalent tools.
Solid understanding of distributed systems architecture, relational databases, data modeling, and NoSQL technologies.
Strong software engineering fundamentals, including object-oriented design, design patterns, testing, and production support.
Strong problem-solving skills and the ability to identify, diagnose, and resolve complex data and distributed-system issues.
Ability to communicate effectively and collaborate across Product, Data Science, Analytics, and Engineering organizations.

Ideally, you will also have:

Experience designing and building high-volume, low-latency streaming data platforms.
A proven track record of architecting reusable libraries, frameworks, and common engineering patterns for large-scale applications.
Experience optimizing distributed data workloads for performance, scalability, reliability, and cost efficiency.
Experience working in the ecommerce, marketplace, fintech, or payments domain.
Experience working in Agile/Scrum development environments and with tools such as JIRA.
Advanced knowledge of object-oriented design principles, MVC architecture, and software design patterns.
Experience influencing technical architecture and driving engineering improvements across teams.
A strong ownership mindset and the ability to take complex technical initiatives from concept through successful production deployment.

Additional Details

The base pay range for this position is expected in the range below:

C$110,400 - C$147,400

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.

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More about this job

Responsibilities

You will architect, design, and develop high-performance real-time and batch data pipelines to process massive volumes of data. You will also collaborate with Data Science, Product, and Engineering teams to translate complex requirements into robust, scalable data solutions.

Requirements

The role requires 3+ years of professional experience in software or data engineering and a degree in Computer Science or a related field. Candidates must have strong programming skills in Python, Java, or Scala and hands-on experience with distributed data processing technologies.

Skills

Data engineering
Python
Java
Scala
Kafka
Spark
Flink
Databricks
Airflow
Dbt
AWS
Distributed systems
Data pipelines
Data modeling
NoSQL
Software engineering

Benefits

Medical benefits
Financial benefits
RRSP eligibility
Paid time off
Parental leave
Restricted stock units
Target bonus

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Ecommerce
Kafka
Flink
Spark
Databricks
Airflow
Dbt
AWS
Python
Java
Scala
Distributed systems
Data pipelines
Data modeling
NoSQL
Monte Carlo
Great Expectations
Agile
Scrum
JIRA
Data observability
Cloud-native
Batch processing
Real-time streaming
Software design patterns
Data quality
Performance optimization
Scalability
Engineering lifecycle

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