Engineer – Integrations (QMS) - MQ Tech at Lilly Global Quality

Role Summary

Engineer – Integrations, QMS at Lilly Global Quality. Responsible for designing, developing, and maintaining integration systems that connect Veeva QMS and related platforms, supporting the Integrated Data Repository (Operational Data Store), and ensuring systems are robust, secure, and aligned with enterprise standards.

Responsibilities

• Design, develop, implement, enhance, and maintain systems and applications.
• Configure assigned systems and support custom/specialized code for end-to-end business processes.
• Understand business processes supported by assigned systems.
• Build solutions using an agile framework for the entire solution lifecycle including designing, implementing, automating, modernizing, maintaining, and optimizing solutions.
• Conduct testing, troubleshooting, and ongoing maintenance of systems to ensure system reliability and accuracy of data.
• Collaborate with cross-functional teams to identify and solve complex business problems.
• Develop and maintain technical documentation using modern automated solutions to meet quality and compliance standards.
• Stay up to date with emerging trends, technologies and best practices.
• Ensure compliance with data privacy and security regulations.
• Support and resolve issues related to Integrated Data Repository (Operational Data Store).

Qualifications

• Required: Bachelor’s Degree in Computer Science, Engineering, or related field.
• Required: 5+ years of experience in system engineering or integration development roles.
• Required: Experience working in regulated environments and with internal systems quality policies and procedures.
• Preferred: Experience with Veeva QMS or similar quality management platforms.
• Preferred: Knowledge of GxP, pharmaceutical manufacturing, and automation systems.
• Preferred: Understanding of technical design best practices including Cybersecurity, Privacy, Legal, Quality, TCO, and serviceability.
• Preferred: Demonstrated ability to quickly learn new technology areas.
• Preferred: Knowledge of data architecture and data modeling.
• Preferred: Experience with data engineering frameworks such as ETL/ELT tools and cloud-native data services.

Skills

• Hands-on experience developing and supporting integration systems in regulated environments.
• Proficiency with integration platforms such as Mulesoft or similar.
• Strong understanding of API design, RESTful services, and cloud-native integration tools.
• Hands-on experience with AWS services (e.g., Lambda, Kinesis, Glue) and supporting Integrated Data Repository issues.
• Experience with Agile development and DevOps practices.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple tasks.

Education

• Bachelor’s Degree in Computer Science, Engineering, or related field.

Additional Requirements

• None specified beyond listed qualifications and responsibilities.