At e Bay, 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.

About the team and the role: Reporting to the Director, Ads Data & Tooling, you will work on the Data Platform that provides Near Real Time Performance Data and Insights to the large portion of e Bay’s 18 million active sellers who use advertising products, including Promoted Listings, Promoted Stores, and Promoted Offsite, and plays a critical role in growing e Bay’s nearly $2B Ads Business.

What you will accomplish:

• Craft a platform for e Bay sellers and advertisers to measure, in near real time, the performance of their advertising campaigns, and improve sales

• Build highly available, scalable software applications while maintaining a cadence of building, testing, and deploying code in a continuous manner

• Work closely with designers, product managers, data analysts, and other specialists (frontend, backend, machine learning) to redefine the advertising space for e Bay and beyond.

• Operate within e Bay’s internal open-source community where a variety of projects and codebases are shared.

• Lead by example and share knowledge with the team, contributing to technical conversations and debates, and deciding upon approaches and tools to use.

What you will bring:

• Broad understanding of Computer Science and well developed ability to grasp, simplify, articulate, communicate and publish complex arguments

• Strong experience with JVM languages like Java, Kotlin and Scala

• Experience with big data technologies like Hadoop, Kafka, Spark, and Click House

• Demostrated experience partnering with Engineering and Product teams

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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, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talentebay.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 for people with disabilities.

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