PayPay's growth is driving a rapid expansion of PayPay product teams and the need for a robust Data Engineering Platform. The DaaS team’s responsibility is to design, implement, and operate this platform using cutting edge technologies. Seeking Data Engineers to help scale the platform.

As a Staff Data Engineer at Later, you will be at the forefront of designing and scaling our data platform, integrating multiple data sources, and ensuring high availability, efficiency, and security. You will drive architectural decisions, optimize large-scale data processing, and develop real-time analytics infrastructure.

We're looking for a Data Scientist to join our Data Science and Credit Solutions Center, working on the development of advanced analytical models and machine learning. The professional will be responsible for working on strategic initiatives, ensuring not only the accuracy and efficiency of the models, but also the operationalization of these solutions in a productive environment, collaborating with business, technology and data engineering areas to transform data into high-impact decisions.

Drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client Claim and Clinical data platforms and our analytic health solution platform. Efforts will be critical to driving the long-term partnership between Arcadia and customers.

Lead the data engineering team in building and maintaining high quality data assets, tools, and processes to empower internal and external customers. Tasked with ensuring the company is building a high-quality, scalable, and sustainable data infrastructure, that can adapt to new data sources and serve all data consumers. Work cross-functionally with various teams to enable data-driven decisions.

Drive Data Engineering efforts, lead a cross functional team of Data Engineers, own, enhance and update Data Engineering processes and standards, understand company needs, and own and execute critical projects on our Data Engineering roadmap within the Engineering department reporting to the Director of Data Management and Information Security.

Lead a team designing, building, and scaling the data infrastructure that powers analytics and data-driven decision-making across the company, ensuring data governance, compliance, and security. This role requires a strategic mindset and deep technical understanding of data engineering.

The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions. The ideal candidate will have a deep understanding of cloud data and analytics technologies and define strategic roadmaps and targeted outcomes for clients. This role involves overseeing data standards, participating in technical interviews, and providing technical guidance to architects and engineers.

Proactively identify key business, product, and research questions that will shape our understanding of media and advertising. You'll design and implement analytical frameworks, deliver impactful insights, and produce high-quality research documentation.

You will work on designing, building, and optimizing systems that extract, enrich, and process metadata at scale as part of the ML Data Engineering team. You’ll collaborate closely with machine learning teams, product managers, and other engineers to ensure the smooth integration and processing of vast amounts of structured metadata.