Top Data Engineer Jobs in Japan

The Senior Data Platform Developer will build and maintain machine learning platforms, manage AI applications, and integrate data processes for Geotab's infrastructure.

Develop and maintain data infrastructure platforms for real-time processing, support data integration, and optimize systems at scale.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

As a Senior Data Engineer at Speak, you'll design and implement data infrastructure, optimize architectures, support ML projects, and collaborate across teams to enhance language learning experiences.

The Lead Data Engineer will develop data infrastructure, manage event structures, design storage architecture, and mentor engineers for better data practices.

The Senior Data QA Engineer will develop and execute test cases for ETL processes and data warehouse validation while performing moderate data analysis and overseeing test management functions.

As a Senior Data Engineer, you will design robust ETL processes, maintain data infrastructure, and collaborate to optimize data access and analytics.

The Staff Data Scientist/Machine Learning Engineer will develop ML systems to engage retailers, mentor senior data scientists, and optimize marketing strategies using data insights.

The Data Analytics Manager will leverage data to create innovative solutions, perform data storytelling, manage client relationships, and support sales efforts.

Design and maintain scalable data pipelines, ensuring accurate delivery and governance of data across the organization while collaborating with cross-functional teams.

Responsible for designing, developing, and maintaining data pipelines, ensuring optimized data flow to support CVS Health's data-driven decisions and infrastructure.

As a Staff Data Engineer at IonQ, you will design and maintain data pipelines, collaborate on improvements with interdisciplinary teams, and mentor others.

The Data Compliance Engineer implements technical compliance controls for healthcare data, develops automated compliance frameworks, and ensures regulatory adherence across clinical and research environments.

Responsible for IT strategy and solutions in R&D, overseeing system integration, stakeholder collaboration, and project prioritization at Zoetis.

The Data Engineer will architect and maintain a data warehouse, optimize ETL processes, ensure data governance, and collaborate with stakeholders for data-driven decision making.

The Lead Data IRIS Engineer will develop and manage data pipelines, work with analytical partners, and support healthcare data integration using various standards.

Lead Data Engineer to design and develop data structures and pipelines, enabling data integration and analysis. Collaborate with teams for advanced analytics.

The Sr. Data Engineer will build and optimize data pipelines, support data strategies, and leverage AI tools, with a focus on software engineering best practices.

Seeking an experienced Data Engineer with strong expertise in Snowflake to transform and migrate data into a Snowflake data warehouse while collaborating with teams to ensure accuracy of data pipelines.

Data & Analytics Engineer at MojoTech, working with clients to define data requirements and deliver analytics solutions and pipelines. Requires 3+ years experience.

The Multi-lingual Data Specialist will create large-scale multilingual datasets, evaluate multilingual speech models, and collaborate with product teams to enhance language support.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Data Engineer, you'll design and maintain data pipelines, ensuring data integrity while optimizing performance and collaborating with teams to deliver data-driven solutions.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.

In this role, you will design and maintain ETL processes, collaborate with teams for data insights, and utilize various programming tools to enhance operations.