Top Data Engineer Jobs in Tokyo

Design and implement high-performance data platforms and pipelines for AI and analytics, optimizing data flow and collaboration with teams.

The Agentic AI Data Engineer designs and implements data platforms and pipelines for enterprise AI, focuses on ETL/ELT processes, and ensures data quality and governance while collaborating with cross-functional teams.

The Data Engineer will design and implement data platforms, optimize ETL pipelines, ensure data quality, and mentor junior engineers in a builder's environment.

Design and implement large-scale data pipelines for robotics foundation models, ensuring efficient data processing, quality, and collaboration with researchers.

The Data Engineer will implement and manage data processing systems using Quantexa's technology, while collaborating with teams and communicating solutions to clients.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Data Engineer will design and implement scalable data architectures, collaborate with cross-functional teams, and manage data processing and analysis across multiple domains.

The Solution Engineer will collaborate with stakeholders to propose solutions, deliver demonstrations, respond to technical inquiries, and support marketing activities. Responsibilities include training, creating sales materials, and facilitating product knowledge improvement.

Assist in designing and implementing data pipelines, develop APIs, work with cloud infrastructure, and support data analytics workflows for mobility systems.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

Develop and maintain full-stack web applications, backend APIs, and ensure high-quality UI/UX for Woven City. Contribute across the tech stack while focusing on frontend development.

As a Staff Software Engineer focusing on Data Backend, you will design APIs, manage data warehouses, develop data pipelines, and optimize operations using cloud technologies.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.