Data Engineer, Medical Data Foundation
Core
Establishing a repeatable process to onboard medical data sets into a foundation for AI-ready data, ensuring high quality, governance, and accessibility for medical teams and analytics solutions.
Role type
Senior Data Engineer (Medical Data Foundation)
Builds
AI-ready medical data products, data models, and analytics platforms
Domain
Healthcare / Pharmaceutical / Data Engineering
Deliverable
production ML models
Required skills
Data architecture & modeling, Cloud data integration (ELT/ETL), Data quality & governance, SQL & validation, Privacy & compliance, Stakeholder leadership, Project delivery in matrixed teams, AI & LLMs
Preferred skills
Python & automation, Business performance management
Technologies
Snowflake, Synapse, ADF, Databricks, dbt, Collibra, Alation, Informatica
Responsibilities
Establish data onboarding processes for medical data products; Develop strategies for leveraging data to gain business insights; Define common data model vision and transformation approaches; Identify data sources and drive key design decisions; Monitor data quality and ensure global integrity; Oversee data accuracy processes and communicate data models; Query datasets to validate business rules and resolve conflicts; Support overall data architecture and deploy solutions; Collaborate with IT for data lifecycle management; Champion best practices in data management and governance; Cooperate with vendors and stakeholders; Implement data privacy and management guidelines; Identify best-in-class data capabilities from the marketplace.
Seniority
Senior, hands-on IC with leadership responsibilities
