Top Data Engineer Jobs in Tokyo

As a Software Engineer II, you enhance and deliver software solutions, design, troubleshoot code, and contribute to application development while collaborating in an agile team environment.

As a Senior Lead Software Engineer, you will provide technical guidance, develop high-quality code, influence product design, and contribute to an agile team focused on enhancing technology products.

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

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Data Engineer will fine-tune AI models, design data labeling pipelines, and ensure high-quality datasets for machine learning applications, collaborating across teams in a hybrid work environment.

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.

Build and maintain large scale data ingestion, storage, and processing systems for the Arene Vehicle Data Platform, mentoring junior engineers and collaborating with various teams.

Design and develop web applications and infrastructure for data users, maintain CI/CD pipelines, and create data streaming solutions in a collaborative environment.

The Site Reliability Engineer will design and maintain large-scale infrastructure for data processing, ensuring system reliability and performance while mentoring junior engineers.

The Senior Software Engineer will develop and maintain data processing tools and services, improve system reliability, and mentor junior engineers while collaborating on architectural choices and best practices.

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

The Data Platform Engineer will build and maintain data infrastructure, implement new tools, and support global data needs, while focusing on high-quality code and best practices in analytics engineering.

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