Data Engineer, Research IDS at Lilly - Join Our Global Healthcare Leader

At Lilly, we combine caring with discovery to improve lives globally. Based in Indianapolis, Indiana, we are a leading healthcare organization dedicated to discovering life-changing medicines, managing diseases better, and supporting communities through philanthropic efforts.

About the Role: Data Engineer, Research IDS

Join us as a Data Engineer within the Research IDS team. If you are determined to make a global impact, this position is for you.

Key Responsibilities

Competency with Data Information Management

As a Data Engineer, you will manage both structured and unstructured data to support decision-making, business processes, and digital services. You will be considered an expert in Cloud Database products and provide recommendations on cloud services.

Core Capabilities:

• Information Lifecycle: Apply policies and standards for acquiring, validating, integrating, accessing, storing, and archiving data.
• Information Strategy: Define frameworks to ensure compliance with data regulations and standards.
• Information Governance: Ensure data assets are reliable, fit for purpose, and protected across the organization.
• Information Stewardship: Manage taxonomies, data quality, and master/reference data domains.

Important skills include communication, leadership, teamwork, problem-solving, business acumen, technical standards, project delivery, and industry knowledge.

Business Analysis and Technical Leadership

Engage with business units, translating business needs into technical solutions. This includes:

• Defining requirements and ensuring business roles are engaged.
• Participating in design reviews to ensure requirement traceability.
• Collaborating with IT colleagues for optimal solutions.
• Staying updated on tools and technologies to influence IT strategies.

Required Technology Skillset

• 5+ years of hands-on experience with AWS services, AWS CloudFormation (CFT), CI/CD, AWS CodePipeline, and CodeBuild.
• Programming experience with SQL and Python.
• Experience with ETL processing in AWS cloud and orchestration tools like Airflow.
• Strong working knowledge of data lakes, data concepts, and AWS PaaS DB offerings.
• Experience in designing data models, optimizing data pipelines, and database security.

Basic Qualifications

• Bachelor’s degree in Computer Science or a related discipline.
• 5+ years of relevant work experience.

Preferred Qualifications

• Experience in regulated environments and with internal systems quality policies.
• Knowledge of Scrum/agile methodologies and cloud infrastructure.
• Pharmaceutical or healthcare industry experience.
• Technical curiosity and motivation to innovate.

About Lilly

Lilly IT builds and maintains cutting-edge capabilities, driving tech-forward solutions to advance our purpose of creating life-saving medicines. We focus on diverse hiring practices to bring an array of skills and perspectives to our innovative solutions. We are in a phase of rapid growth, with investments in state-of-the-art manufacturing facilities geared towards minimizing environmental impact.

Note: Internal applicants should discuss this opportunity with their current supervisor before applying.

Commitment to Diversity and Accessibility

Lilly does not discriminate based on age, race, color, religion, gender, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or any other legally protected status. If you need an accommodation to apply, please email .

#WeAreLilly

Company Name: Eli Lilly and Company
Job Title: Data Engineer, Research IDS