Data Engineer – Drug Delivery Device Development

Workday Lilly

Indianapolis, IN, US
Base: $65,250 - $169,400; bonus/equity: compyny bo...
Build and maintain scalable data pipelines
Etl/elt processes
Data warehousing concepts and tools
The Data Engineering function is a foundational horizontal capability within DDCS's Data Sciences & Digital Transformation team, responsible for building and maintaining the data infrastructure that powers scientific discovery, device innovation, and data-driven decision-making across both innovation and commercialization verticals

Job Summary

  • The Data Engineering function is a foundational horizontal capability within DDCS's Data Sciences & Digital Transformation team, responsible for building and maintaining the data infrastructure that powers scientific discovery, device innovation, and data-driven decision-making across both innovation and commercialization verticals.
  • Data engineers partner with data scientists, AI application engineers, and scientific ML engineers throughout the DDCS matrix to ensure data pipelines, architectures, and governance frameworks are robust, compliant, and purpose-built for the unique demands of pharmaceutical device development.
  • Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).

Matching Summary

The Data Engineering function is a foundational horizontal capability within DDCS's Data Sciences & Digital Transformation team, responsible for building and maintaining the data infrastructure that powers scientific discovery, device innovation, and data-driven decision-making across both innovation and commercialization verticals.

Salary

Base: $65,250 - $169,400; Bonus/Equity: company bonus; Benefits: comprehensive benefit program

Skills & Requirements

Must-have

  • build and maintain scalable data pipelines
  • ETL/ELT processes
  • data warehousing concepts and tools
  • data governance frameworks
  • GxP and regulated environment standards
  • Python, SQL, and/or Scala

Nice-to-have

  • patient-centric drug delivery solutions
  • accelerating reach and scale
  • patient experience + outcomes
  • data-driven decision-making
  • emerging technologies and best practices

Key Requirements

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related technical field
  • 5+ years of professional experience in data engineering
  • Qualified applicants must be authorized to work in the United States on a full-time basis

Work Rights

Must be authorized to work in the US full-time

Tailored Resume

Cover Letter