Software Engineer - Data Platform

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.

• Build and own core components of eBay’s declarative data platform, enabling automated generation and optimization of data pipelines at scale
• Design and evolve systems that manage the global data flow graph, including dataset definitions, dependencies, and execution planning
• Develop platform capabilities for computation graph management, pipeline optimization, and dataset lifecycle orchestration
• Engineer solutions that systematically reduce data duplication, redundant compute, and operational inefficiencies across thousands of datasets
• Contribute to long-term platform architecture through design reviews and architecture documents, ensuring scalability, correctness, and resilience
• Build platform systems that balance performance, cost efficiency, and data correctness, while enforcing governance and compliance requirements
• Drive operational excellence for platform services, including observability, reliability, and incident response
• Collaborate with product, infrastructure, and data teams to standardize dataset definitions and improve platform adoption
• Develop automation and intelligent tooling to improve platform efficiency, including opportunities to leverage AI/agent-driven optimizations

• 4+ years of experience in distributed systems, platform engineering, or data infrastructure
• Strong proficiency in Java or Python, with experience building production-grade systems
• Experience with CI/CD, testing, and containerized environments
• Solid understanding of distributed system design, algorithms, and scalability patterns
• Familiarity with technologies such as Spark, Flink, or similar systems
• Experience working with large-scale data ecosystems or data platforms is a plus
• BS/MS in Computer Science or equivalent practical experience

• Opportunity to solve foundational data platform challenges at massive scale, impacting thousands of datasets and pipelines
• High-impact work focused on eliminating inefficiencies and reducing operational cost across the data ecosystem
• Deep technical challenges in declarative systems, graph-based execution, and large-scale optimization
• Collaborative and inclusive culture with strong emphasis on engineering excellence and knowledge sharing
• Supportive environment with focus on sustainable operations, on-call balance, and long-term growth