Data Engineer at Intuitive

Primary Function of Position We are looking for a Data Engineer to build and own the data foundations that power machine learning and analytics. This role is focused on designing scalable data platforms, organizing high-quality datasets, and enabling ML scientists to efficiently develop, train, and deploy models. You will work closely with ML scientists, data scientists, and software engineers to ensure data is reliable, discoverable, and production ready. What Success Would Look Like: •              ML scientists can easily access trusted, well-documented data •              Data pipelines are reliable, observable, and scalable •              Data quality issues are detected early and resolved quickly •              The data platform accelerates ML development and deployment Essential Job Duties • Data Platform & Pipelines • Design, build, and maintain scalable, reliable data pipelines for batch and streaming data • Own data ingestion, transformation, validation, and storage across multiple sources • Optimize data systems for performance and reliability • Monitor and troubleshoot data pipeline failures and data quality issues • Data Organization & Quality • Structure and organize datasets to support ML training, evaluation, and inference • Define and maintain schemas, metadata, and data documentation • Implement data quality checks, validation frameworks, and monitoring • Support data versioning, lineage, and reproducibility • ML Enablement • Partner closely with ML scientists to understand data requirements • Build and maintain feature pipelines and ML-ready datasets • Support ML workflows by ensuring consistent, high-quality data inputs • Enable smooth handoff from experimentation to production • Collaboration & Standards • Collaborate with product, analytics, and engineering teams to align data solutions with business needs • Establish best practices for data modeling, pipeline design, and governance • Contribute to architectural decisions for data and ML platforms