Data Product Engineer

The Data Product Engineer develops new data products using JMDC's large-scale healthcare data. Responsibilities include designing pipelines and platforms that make data quality, freshness, and lineage visible and controllable with reproducible processes. The role also involves designing versioning, monitoring, and related mechanisms to verify and continuously improve the quality of machine-learning models in production.

The engineer designs and manages infrastructure in cloud environments such as AWS and GCP, using infrastructure as code and CI/CD as standard practices. The role also includes developing backend applications, including various APIs. Engineers are expected to drive projects proactively and autonomously, from problem definition through social implementation, and to contribute across the process from technology selection to product release.

Required experience includes logical thinking, team development following a Git branching strategy such as Git Flow or GitHub Flow, project experience designing and developing customer-facing service systems, experience designing, developing, and operating cloud services using AWS or GCP, and experience with IaC and CI/CD based on DevOps principles. Business-level Japanese communication is required; non-native Japanese speakers must have JLPT N1 or higher.

歓迎 experience includes development or data analysis on data pipelines built with tools such as dbt, design, development, and operation of external API services while considering non-functional requirements, delivering and continuously improving production services using MLOps, implementing machine-learning models or methods proposed in recent papers, placing in data-analysis competitions such as Kaggle, healthcare-focused data science or machine-learning model development, and expertise in biostatistics for medical research or clinical knowledge.

The technology environment includes Amazon SageMaker, AWS Fargate (ECS), AWS Lambda, AWS Athena, Amazon Redshift Serverless, Amazon DynamoDB, Vertica, Terraform, GitHub Actions, AWS CodeBuild, Gemini, Claude, ChatGPT, VS Code, Antigravity, GitHub Copilot, Claude Code, Codex CLI, Slack, Backlog, Confluence, Google Workspace, and GitHub Enterprise. Hardware provided includes a Windows notebook and computing desktop, or a MacBook Pro.

The position is initially expected to work at the Tokyo office in Minato, Tokyo. The company states a flextime system with core hours from 11:00 to 15:00, standard working hours of eight hours per day, and a 60-minute break. Benefits and support listed include commuting allowance up to JPY 150,000 per month, social insurance, defined-contribution pension, parental and caregiving leave systems, employee stock ownership, book-purchase assistance, and generative-AI usage cost assistance.