Sr. Data Engineer - Depop
Ebay INC · 🇨🇦 Toronto
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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Sponsor Radar — Ebay INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Ebay INC →
About the role
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 dist