Top Data Engineer Jobs in Japan

Design, implement, and optimize data pipelines and systems for developer productivity reporting. Collaborate with teams to ensure data architecture supports product vision and provides actionable analytics while improving engineering processes.

As a Staff Data Engineer at 2K, you will focus on designing and building data models for Data Science and Business Intelligence, constructing APIs and data products, monitoring data pipelines, and collaborating with business partners and developers to ensure requirements are met for various initiatives.

As a Staff Data Engineer, you will design and build data models for Business and Studio, develop APIs, monitor data pipelines, and collaborate with business partners and developers to meet project requirements. You will utilize your expertise in different data modeling methodologies and technologies to deliver data products and insights across the organization.

The Senior Data Engineer will design and implement data pipelines to manage large data sets for cybersecurity use-cases, collaborate with teams to support data-driven applications, and develop web services and APIs while ensuring production quality solutions.

This role involves designing and developing data solutions across various domains such as Research and Investments, and Sales and Marketing. The Data Engineer will be responsible for creating scalable data architectures, managing ETL pipelines, and collaborating with different teams to improve data quality and accessibility.

As a Staff Data Engineer at Fluence, you will build, test, and scale data ingestion pipelines, work with data scientists to design efficient systems, define and enable data-driven solutions, and maintain data frameworks. You'll also troubleshoot data pipelines, define data management strategy, and leverage your extensive experience to shape the future of the electricity grid.

The Senior Data Engineer will lead the design and development of data infrastructure, ensuring scalable and trusted data pipelines. They will optimize data solutions, mentor junior engineers, and collaborate with teams to enhance data models, while driving data quality improvements and best practices.

As a Senior Data Engineer, you will design, develop, and optimize data infrastructure and pipelines. You will lead the translation of complex business requirements into scalable data solutions, mentor junior engineers, and ensure high-quality reporting and analytics.

As a Senior Data Engineer in Marketing Technology, you will design and maintain data pipelines, develop data models, and collaborate with cross-functional teams to drive marketing insights and improvements. Your work will involve ensuring data quality and building scalable data solutions for effective decision-making.

As a Senior Data Engineer, you will build and operationalize complex data solutions to support Artificial Intelligence and Machine Learning initiatives. Your role includes designing data strategies, ensuring data quality, and educating stakeholders on data products. You will also lead efforts to incorporate new data sources and modernize the analytics landscape at Travelers.

As a Staff Data Engineer on the Ads Data Science team at Reddit, you will develop and maintain high-quality data pipelines for data ingestion and transformation. Collaborating with various teams, you will create user-friendly tools for data analysis, lead initiatives to promote a data-driven culture, and provide mentorship to data analysts.

As a Senior Data Engineer at Carrum, you will develop and maintain solutions for data ingestion, processing, and modeling. You'll collaborate with teams to understand data needs, support HIPAA compliance, and build a robust data foundation including pipelines, ETL processes, and reporting systems.

The Senior Data Engineer at CoreLogic will advance and maintain data infrastructure by collaborating across teams to deploy and manage complex data pipelines using SQL, Python, and GCP. Responsibilities include developing data solutions with big data technologies, optimizing cloud resources, and maintaining documentation of data processes.

As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.

The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.

The Senior Data Engineer will design and build data architecture and scalable data pipelines, enabling advanced analytics and machine learning within the healthcare industry. Responsibilities include creating automated data flows, collaborating with infrastructure and data science teams, and shaping the data roadmap while ensuring high data quality and performance.

The Staff Data Engineer will design and maintain scalable data pipelines, develop full-stack applications, integrate data sources, architect data platforms, implement automation tools, and collaborate with teams to enhance AI-driven products.