Sr. Data Engineer

eBay • Toronto, ON

22h

About The Position

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.

Requirements

• B.Sc. or M.Sc. in Computer Science, or equivalent professional experience.
• 3+ years of professional experience in software design and development, specifically in data pipelines and backend services.
• Proficiency in Python, Java, and Scala, with a strong foundation in data structures and multithreading.
• Expertise in distributed processing frameworks: Kafka, Spark, and Flink.
• Hands-on experience with Databricks and AWS cloud environments.
• Experience with Airflow for orchestration and DBT for transformation.
• Familiarity with data reliability tools such as Monte Carlo or Great Expectations.
• Solid understanding of distributed system design, relational databases, and NoSQL technologies.

Nice To Haves

• 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.

Responsibilities

• Design and develop robust, scalable real-time and batch data pipelines using Kafka, Spark, and Flink.
• Build and manage complex workflow orchestrations using Airflow to ensure timely and reliable data processing.
• Implement and maintain automated data quality frameworks using Monte Carlo or Great Expectations to ensure high-fidelity data across the platform.
• Leverage Databricks and AWS to build cloud-native data solutions that improve development efficiency and system performance.
• Own major data engineering projects from the design phase through coding, testing, deployment, and long-term support.
• Work effectively across multi-functional teams, including Data Science, Product, and other engineering leads, to provide data-driven guidance on roadmap items.
• Identify technical risks, foresee scalability challenges, and proactively propose solutions or architectural improvements.
• Advocate for continuous improvement of the technology stack and maintain detailed documentation for all systems and pipelines.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior