Lilly-Lilly

Data Engineer

• Design and build data pipelines for the Lilly Medicine Foundry site
• Integrate IT and OT source systems with AWS and Azure cloud data Lakehouse architecture
• Capture, ingest, integrate, contextualize, harmonize, and deliver data as reusable data domains and data products
• Work across enterprise and edge systems spanning ERP, ELN, MES, LIMS, Historians, PLM, and QMS platforms
• Engage with Operations, Quality, Lab, and Engineering stakeholders to understand data needs
• Elicit requirements, identify gaps, and translate operational needs into technical designs
• Explain architectural decisions to non-technical audiences
• Design and develop data pipelines for ingestion, transformation, and integration
• Apply medallion architecture, streaming ingestion, and API-based extraction patterns
• Write maintainable code and optimize data-flow performance
• Participate in design reviews, maintain traceability, and contribute to governance frameworks for GxP compliance
• Track emerging AWS and Azure data technologies and contribute to team capability and Tech@Lilly strategy
• Analyze complex data domains and develop solutions for analytics
• Design, develop, and maintain data solutions for capture, storage, integration, and analytics
• Review and recommend data design patterns, performance optimizations, database versions, and deployment strategies

Full-stack Engineer

• Build the product
• Own product surfaces end-to-end–frontend, backend, data, integrations–whatever the problem requires
• Architect and build the application layer that wraps Lilly’s AI models into reliable, cohesive workflows for biotech customers
• Make a set of point solutions feel like a product
• Set the engineering bar from scratch–code review, testing, release process, on-call
• Mentor other engineers as the team grows
• Navigate enterprise infrastructure, security, and compliance requirements without disrupting development progress
• Represent engineering in conversations with external biotech partners when it matters

Staff Software Engineer

• Build the product
• Own product surfaces end-to-end–frontend, backend, data, integrations
• Drive features end-to-end
• Contribute to the engineering bar
• Mentor the engineers around you
• Spot the things nobody owns and either pick them up or flag them clearly
• Navigate enterprise infrastructure, security, and compliance requirements without disrupting development progress
• Join customer conversations when it helps

Data Engineer

Staff Software Engineer

Senior Software Engineer