Top Data Engineer Jobs in Japan

As a Lead Data Engineer at Capital One, you will design, develop, test, and support technical solutions while collaborating with Agile teams. Responsibilities include utilizing programming languages and cloud-based services, mentoring team members, and ensuring code quality through reviews and testing.

The Senior Data Engineer will analyze requirements, write and ship code in dbt, design data pipelines, enhance data systems, and mentor junior engineers. This role focuses on leveraging data for strategic business impact and improving developer efficiency through automation within a cloud environment.

The Sr. Data Engineer will be responsible for the architecture, design, development, and maintenance of analytical data streams. They will manage data pipelines, data warehousing, and business intelligence environments while collaborating with users to define requirements and enhance existing solutions.

The Senior Data Engineer will collaborate with Agile teams to design, develop, and support full-stack technical solutions. This role involves leveraging various programming languages and technologies to deliver cloud-based services that enhance customer financial empowerment, while mentoring team members and driving tech innovations.

As a Senior Data Engineer at Kargo, you will work with the Targeting and Audiences team to enhance data methodologies, create scalable processes for large datasets, and improve data targeting strategies. Responsibilities include maintaining data integrity, collaborating with product and data science teams, and building data pipelines for real-time bidding.

The role involves designing, developing, and integrating strategic data applications, building large-scale data processing systems on Google Cloud, and leading data pipeline automation. Responsibilities include ensuring accuracy through robust testing, adhering to quality standards in an Agile environment, and applying machine learning when relevant.

The Senior Data Engineer/Manager will lead the data strategy for Plasma-Derived Therapies, collaborating with IT functions to develop data models and pipelines, enhancing data quality, and maintaining scalable data systems. They will work with various teams to ensure accurate data availability and support BI requirements, alongside developing systems for monitoring data quality and troubleshooting issues.

As a Senior Data Engineer, you will improve Grubhub's big data and machine learning pipelines, delivering data products while collaborating with data scientists and analysts. Responsibilities include managing high-volume data processing using Spark and AWS technologies, maintaining technical documentation, and applying data engineering best practices.

Collaborate with Agile teams, design and develop technical solutions using full-stack development tools and technologies, work with machine learning and microservices, stay updated on tech trends, mentor team members, and deliver cloud-based solutions for financial empowerment. Conduct unit tests and code reviews for performance optimization.

As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams to develop technical solutions in a full-stack development environment, leverage machine learning and distributed microservices, and implement cloud-based data solutions while mentoring other engineers.

Lead the design, development, and deployment of large-scale data systems. Build and maintain data pipelines, ensure data quality, and collaborate with teams for data-driven insights. Optimize ETL processes and troubleshoot data inconsistencies while recommending data integration solutions.

The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.

The Sr. Data Engineer will join the Data Activation team to ensure high-quality delivery of data solutions. Responsibilities include designing data models, developing ETL processes, utilizing big data technologies like Spark and Snowflake, and automating tasks. The engineer will engage with stakeholders, conduct code reviews, and support the go-live process while fixing bugs and addressing issues post-launch.

As a Principal Full Stack Engineer, you will architect and build ad verification and fraud solutions, lead the software lifecycle, mentor junior engineers, and collaborate with the product team to enhance ad analytics products. Your role includes ensuring best engineering practices and managing multiple priorities in a scalable environment.

As a Data Engineer at Prophecy, you will develop data engineering workflows using Apache Spark and Apache Airflow. You will be responsible for solving complex customer problems, educating users on best practices, and building reusable Spark packages to enhance data transformation processes.

The Data Engineer at ICF Next will collaborate with data scientists and stakeholders to ensure data availability and integrity. Key duties include monitoring data systems, optimizing database performance, translating business use cases to solution architecture, and implementing best practices for data management and governance.

The Data Engineer will collaborate with various teams to implement and manage data engineering solutions using GCP technologies, develop automation methods for data pipelines, and maintain data quality. The role also involves testing and evaluating competing solutions, providing deep technical expertise, and delivering scalable data platforms.