Data Engineer

• - Productionize Databricks notebooks created by our Scientists
• - Create, manage, and enhance data pipelines that support ML and analytics workflows
• - Support and collaborate closely with our Head of Engineering
• - Improve and maintain our cloud-based data infrastructure on Azure and AWS
• - Help support and enforce best practices for data engineering, curation, and notebook development
• - Work cross-functionally to ensure data products align with our platform principles and scientific goals
• - Build scalable and efficient pipelines that connect raw data and metadata to insights and products
• - Help evolve our use of the Databricks platform, and our broader Azure/AWS cloud environments
• - Translate Python/SQL/R code from exploration to production-grade
• - Be a hands-on partner to Scientists, supporting their work and helping scale their models
• - Contribute to shaping our engineering culture and infrastructure as we grow

Data Engineer

Senior Data Engineer