This job is with eBay, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.

Company Overview eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses, and organizations of all sizes. Our strategic vision is to become the best global marketplace through a tech-led reimagination, focusing on a culture that encourages passion, courage, and imagination. Join a purpose-driven community dedicated to creating an ambitious and inclusive workplace where you can shape the future of global commerce. Role Overview

We are seeking a talented and passionate Data Engineer to join our team to architect, design, and develop innovative, high-performance, and scalable data pipelines. In this role, you will be at the core of eBay's data ecosystem, building the infrastructure that enables real-time insights and powers personalized experiences for millions of users. You will have the opportunity to work with cutting-edge technologies like Flink, Spark,



and Databricks to handle massive volumes of data where performance, reliability, and accuracy are of utmost importance.

Primary Job

Responsibilities

Pipeline Development

Design and develop robust, scalable real-time and batch data pipelines using

Kafka ,

Spark , and

Flink .

Data Orchestration

Build and manage complex workflow orchestrations using

Airflow to ensure timely and reliable data processing.

Data Quality

Implement and maintain automated data quality frameworks using

Monte Carlo or

Great Expectations to ensure high-fidelity data across the platform.

Cloud Architecture

Leverage

Databricks and

AWS to build cloud-native data solutions that improve development efficiency and system performance.

Project Ownership

Own major data engineering projects from the design phase through coding, testing, deployment, and long-term support.

Collaboration

Work effectively across multi-functional teams, including Data Science, Product, and other engineering leads, to provide data-driven guidance on roadmap items.

Risk Mitigation

Identify technical risks, foresee scalability challenges, and proactively propose solutions or architectural improvements.

Technical Excellence

Advocate for continuous improvement of the technology stack and maintain detailed documentation for all systems and pipelines.

Job Requirements

Category Requirements Education B.Sc. or M.Sc. in Computer Science, or equivalent professional experience. Experience 3+ years of professional experience in software design and development,



specifically in data pipelines and backend services. Languages Proficiency in

Python ,

Java , and

Scala , with a strong foundation in data structures and multithreading. Data Tools Expertise in distributed processing frameworks:

Kafka ,

Spark , and

Flink . Platform Hands-on experience with

Databricks and

AWS cloud environments. Workflow & Quality Experience with

Airflow for orchestration and

DBT for transformation. Observability Familiarity with data reliability tools such as

Monte Carlo or

Great Expectations . Architecture Solid understanding of distributed system design, relational databases, and NoSQL technologies. Preferred Qualifications

Experience with Agile/Scrum methodologies and tools like JIRA.

Experience in the e-commerce or payments domain is a plus.

Proven track record of architecting common libraries and patterns used in large-scale applications.

Advanced knowledge of model-view-controller (MVC) and object-oriented design paradigms.

Additional Details This job posting relates to an existing vacancy within eBay. eBay is an equal chance 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 [email protected] . 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.

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📌 Sr. Data Engineer (Winnipeg)
🏢 eBay
📍 Winnipeg