Bengaluru, Karnātaka, India
Live, first seen by us 59 days agoThe Data Studio Engineer will design, build, and maintain an integrated development environment for data exploration, analytics, and development.
Design, build and maintain Data Studio tools for exploration, analytics and development
Build and enhance Jupyter Notebook, SQL editors and query consoles
Integrate Data Studio with Spark, Hadoop, Flink and cloud-native services
Develop backend services and APIs for workspace, session and compute lifecycle
Improve platform reliability, scalability, performance, security and developer experience
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.
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.
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.
Experience building internal developers or data platforms is a plus.
Deep Understanding of distributed scheduling system like Airflow is a plus
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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.
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
- 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.
- 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.
- 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.
- 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.
- 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.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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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
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.
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 talent@ebay.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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Bengaluru, Karnātaka, India
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