Data Development Platform Engineer
Posted 16 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
No salary listed for this 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.
About the role
The Data Studio Engineer will design, build, and maintain an integrated development environment for data exploration, analytics, and development. The role focuses on delivering intuitive and reliable experiences across notebooks, SQL editors, data exploration, and compute workflows, while integrating with large-scale data and compute platforms. The engineer will work closely with data engineers, analysts, and underlying streaming/batch infrastructure to improve developer productivity and enable efficient self-service data workflows.
Responsibilities
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Design, build, and maintain Data Studio capabilities that provide an integrated development environment for data exploration, analytics, and development.
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Build and enhance interactive tools such as Jupyter Notebook, SQL editors, query consoles, and data exploration experiences.
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Integrate Data Studio with large-scale data and compute platforms such as Spark, Hadoop, Flink, and cloud-native services.
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Develop backend services and APIs for workspace, session, compute, and resource lifecycle management.
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Improve platform reliability, scalability, performance, security, and developer experience.
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Partner with data engineers, analysts, and data scientists to understand workflows and deliver self-service data capabilities.
Qualifications
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8+ years software engineering skills in Java, Python, or similar languages.
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5+ years Experience with Jupyter, SQL development environments, data exploration tools, or similar developer platforms.