{"id":3011477,"url":"https://alion.io/job/ebay-data-development-platform-engineer","title":"Data Development Platform Engineer","company":{"id":7519,"name":"eBay","domain":"ebay.com","url":"https://alion.io/company/ebay","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Docker","optional":false},{"name":"Flink","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-16T00:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-22T05:55:31Z","board_verified":false,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":38},"description":"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.\nOur 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.\nJoin a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.\nAbout the role\nThe 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.\nResponsibilities\nDesign, build, and maintain Data Studio capabilities that provide an integrated development environment for data exploration, analytics, and development.\n\nBuild and enhance interactive tools such as Jupyter Notebook, SQL editors, query consoles, and data exploration experiences.\n\nIntegrate Data Studio with large-scale data and compute platforms such as Spark, Hadoop, Flink, and cloud-native services.\n\nDevelop backend services and APIs for workspace, session, compute, and resource lifecycle management.\n\nImprove platform reliability, scalability, performance, security, and developer experience.\n\nPartner with data engineers, analysts, and data scientists to understand workflows and deliver self-service data capabilities.\n\nQualifications\n8+ years software engineering skills in Java, Python, or similar languages.\n\n5+ years Experience with Jupyter, SQL development environments, data exploration tools, or similar developer platforms.\n\nExperience with distributed data technologies such as Spark, Hadoop, Flink, or similar systems.\n\nFamiliarity with Kubernetes, Docker, and cloud-native infrastructure.\n\nStrong understanding of APIs, distributed systems, and production platform engineering.\n\nDemonstrated proficiency buildingproduction-grade software with AI coding agents, improving engineering velocity while maintaining high standards for quality, availability, and maintainability.\nAbility todecompose problems and provide agents with the right context, specifications, constraints, and validation criteria.\nAbility tocapture and express business, architecture, codebase, and operational knowledge so AI coding agents can execute complex tasks accurately and autonomously.\nHands-on experience deliveringcomplex, production-quality software using AI coding tools such as Claude Code, Codex, etc.\n\nExperience building internal developers or data platforms is a plus.\n\nDeep Understanding of distributed scheduling system like Airflow is a plus\n\nAdditional Details\neBay 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 . 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.\nWe use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. 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