Data Engineer, Azure Databricks

What you’ll achieve:

• 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

About you:

• You have a solid foundation in data engineering and/or MLOps and are excited to keep learning
• You have experience with Databricks
• You have experience in Python, R and SQL transformations and data pipeline creation
• You're familiar with cloud platforms (Azure preferred)
• You have at least 3 years of relevant work experience
• You hold a University degree in Computer Science or a related field
• You communicate well and enjoy being part of a collaborative, interdisciplinary team
• You thrive in fast-moving environments where you can take ownership and iterate quickly
• You are fluent in English, both written and spoken
• You’re comfortable working remotely, with at least 50% timezone overlap with US/GMT

Benefits

• Fantastic, fun and collaborative colleagues; opportunity to solve tough challenges in healthcare
• Ability to be entrepreneurial and tremendous opportunities for growth
• Public Benefit Corporation with an impact and equity mission
• Competitive compensation 
• Professional Development opportunities