Data Development Platform Engineer

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

Design, build, and maintain Data Studio capabilities that provide an integrated development environment for data exploration, analytics, and development.

Build and enhance interactive tools such as Jupyter Notebook, SQL editors, query consoles, and data exploration experiences.

Integrate Data Studio with large-scale data and compute platforms such as Spark, Hadoop, Flink, and cloud-native services.

Develop backend services and APIs for workspace, session, compute, and resource lifecycle management.

Improve platform reliability, scalability, performance, security, and developer experience.

Partner with data engineers, analysts, and data scientists to understand workflows and deliver self-service data capabilities.

Qualifications

8+ years software engineering skills in Java, Python, or similar languages.

5+ years Experience with Jupyter, SQL development environments, data exploration tools, or similar developer platforms.

Experience with distributed data technologies such as Spark, Hadoop, Flink, or similar systems.

Familiarity with Kubernetes, Docker, and cloud-native infrastructure.

Strong understanding of APIs, distributed systems, and production platform engineering.

Demonstrated proficiency building production-grade software with AI coding agents, improving engineering velocity while maintaining high standards for quality, availability, and maintainability.

Ability to decompose problems and provide agents with the right context, specifications, constraints, and validation criteria.

Ability to capture and express business, architecture, codebase, and operational knowledge so AI coding agents can execute complex tasks accurately and autonomously.

Hands-on experience delivering complex, production-quality software using AI coding tools such as Claude Code, Codex, etc.

Experience building internal developers or data platforms is a plus.

Deep Understanding of distributed scheduling system like Airflow is a plus

Additional Details

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 [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 for people with disabilities.

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