Data Engineer

R-108618 Data Engineer - Lilly Medicine Foundry This is an opportunity you don’t want to miss! Lilly is entering an exciting period of growth, and we are committed to delivering innovative medicines to patients around the world. LRL has increasing needs for in-house manufacture of material for clinical supplies and will therefore construct a new campus to manufacture Clinical Trial (CT) Active Pharmaceutical Ingredient (API) to meet needs for an expanding portfolio (more and new areas), to accelerate development timelines, and to enhance supply chain robustness. The brand-new facility also known as Lilly Medicine Foundry (LMF) will utilize the latest technology to augment the current clinical supply chain for small molecules (SM), oligonucleotides, peptides, and Antibody Drug Conjugates (ADCs), monoclonal antibodies and bioconjugates, and add new capabilities including mRNA. The new site will be built using the latest high-tech equipment, advanced highly integrated and automated manufacturing systems, and have a focus on minimizing the impact to our environment. What You’ll Be Doing As a Data Engineer based at the Lilly Medicine Foundry, in Lebanon, IN. you will design and build data pipelines for the site. Working closely with the Data Architect and Data Scientists, you’ll engage directly with business and operational collaborators to understand how data flows across the Foundry — from lab systems, process engineering, and manufacturing execution to quality and process analytics — and translate that understanding into reliable, scalable data products. Your core focus will be integrating IT and OT source systems with cloud data Lakehouse architecture spanning AWS and Azure, enabling the advanced analytics and AI/ML capabilities that will define how Foundry operates. This includes the full data value chain: capture, ingestion, integration, contextualization, harmonization, and delivery as reusable data domains and data-as-a-product. You will work across enterprise and edge systems, navigate a diverse technology landscape, and ensure that everything you build meets the data integrity and compliance standards required in a GxP-regulated manufacturing environment. How You’ll Succeed Build and deliver high-quality data solutions. You design and develop robust data pipelines for ingestion, transformation, and integration across cloud platforms (AWS and Azure), applying modern patterns such as medallion architecture, streaming ingestion, and API-based extraction. You write clean, maintainable code, optimize for performance, and think carefully about how data flows from source systems into trustworthy, analytics-ready products. Translate business needs into technical outcomes. You engage proactively with stakeholders across multiple modalities and business teams including Operations, Quality, Lab, and Engineering to understand their data needs. You’re comfortable eliciting requirements, identifying gaps, and translating operational realities into sound technical designs — and explaining your architectural decisions back to a non-technical audience. Navigate a diverse enterprise landscape. The Foundry operates within a broader Lilly ecosystem of enterprise systems including ERP, ELN, MES, LIMS, Historians, PLM, and QMS platforms. You invest time in understanding upstream and downstream dependencies, seek opportunities to reuse existing services and integrations, and build with the broader data architecture in mind. Ensure compliance. You understand the data integrity requirements of a GxP manufacturing environment and apply Quality guidelines and Good Manufacturing Practices from the start. You participate in design reviews, maintain traceability, and contribute to governance frameworks that keep the Foundry consistently compliant. Continuous learning. You track emerging tools and technologies across the AWS and Azure data ecosystems, bring informed perspectives on what’s worth adopting, and actively contribute to the team’s collective capability. Bring a foundational set of knowledge in: communication, leadership, teamwork, problem solving skills, solution definition, business acumen, architectural processes (e.g. blueprinting, reference architecture, governance, etc.), technical standards, project delivery, and industry knowledge. Staying abreast of tools and technologies to influence View email address on click.appcast.io strategy so that it provides best usage opportunities for business Analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics. Design, develop and maintain data solutions for data capture, storage, integration and analytics in partnership with View email address on click.appcast.io teams. Review and provide practical recommendations on design patterns, performance considerations & optimization, database versions, and database deployment strategies Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence Your Basic Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering or related field At least 3 years of experience in several of the following disciplines: statistical methods, data modeling, ETL/ELT, ontology development, semantic graph construction and linked data, relational schema design. At least 1 year of experience in a pharmaceutical GxP or Scientific environment. Experience with cloud platforms (e.g., AWS, Azure). Experience with AI/ML/LLM Concepts and tools and building agentic AI solution sets Additional Skills / Preferences 1-3 years of experience designing large scale data models for functional, operational, and analytical environments (Conceptual, Logical, Physical & Dimensional). Demonstrated SQL and data modeling proficiency. Experience with data modeling tools such as, ER*Studio and Erwin or TOAD. Experience with data integration such as data streaming, Industrial IOT, using MQTT, AQMP, Kafka and related protocols. Understanding of modern data architecture, data lakehouse, data warehousing and/or big data concepts. Experience with security models and development on large data sets. Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena, Graph DB like Neptune, No SQL like DynamoDB, MongoDB) and formal database designs (3NF, Dimensional Models). Experience with Agile Development, CI/CD, Github, Automation platforms. Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics. Ability to review and provide practical recommendations on design patterns, performance considerations & optimization, database versions, and database deployment strategies. Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence. Prior work experience working in pharma or other GMP setting. Solid knowledge of Computer System Validation process. Demonstrated ability to analyze, anticipate, and resolve complex issues through sound problem-solving skills. Demonstrated learning agility and curiosity. Desire and ability to communicate using a variety of methods in diverse forums. Other Information This position is five days onsite in Lebanon, IN beginning late 2027-2028. Until then the work location is Indianapolis, IN. About the Organization Lilly IT builds and maintains capabilities using groundbreaking technologies like most prominent tech companies. What differentiates Lilly IT is that we create new possibilities through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business. #J-18808-Ljbffr