Eli Lilly - Fabric Data Engineer (FinTech)

Indianapolis, IN Hybrid – Onsite 3 days/week Compensation: $60-65 per hour (Long-term Contract) About The Role Join the Analytics Engineering and Visualization Hub, a centralized team within Finance Digital Transformation, whose mission is to build trusted data products—including semantic models, dashboards, and other tools—that empower Finance and the broader organization to make faster, smarter decisions. By standardizing data and visual design, we enable scalable analytics, data literacy, and the foundation for AI-driven solutions. As a Fabric Data Engineer, you will design, build, and maintain robust data pipelines and semantic models that serve as the foundation for scalable self‑service analytics. This role is ideal for someone who thrives at the intersection of data engineering and analytics, with a passion for shaping raw data into clean, governed, and reusable assets that empower decision‑making. You will work in Microsoft Fabric and other modern data platforms to deliver high‑quality data products that power Finance analytics, reporting directly to the Senior Director of the Analytics Engineering and Visualization Hub. What You'll Do Design, build, and maintain robust data pipelines and semantic models using Microsoft Fabric and modern data platforms Ingest and integrate data from diverse sources utilizing Fabric tools such as shortcuts, pipelines, and dataflows Gen2 Transform and enrich data through Fabric dataflows Gen2, stored procedures, and notebooks Design and maintain lakehouses and data warehouses to support scalable analytics Build and manage enterprise‑grade semantic models with reusable metrics and robust access controls Implement and enforce data governance, quality, and documentation standards Optimize performance and reliability of data pipelines and models Partner with Finance stakeholders, enterprise data engineers, and AEV Hub analysts to deliver accurate, relevant, and actionable insights Contribute to self‑service analytics enablement through training and support for end users Collaborate using Git‑based workflows (GitHub) and support CI/CD practices for data products Support the development and deployment of Power BI semantic models and dashboards Ensure compliance with data security, access controls, and documentation best practices What You Bring Bachelor’s degree in Finance, Computer Science, Data Analytics, or related technical field 3+ years of experience in data engineering, analytics engineering, or business intelligence Proficiency in SQL and experience with data transformation tools (Power Query, PySpark, T‑SQL) Experience with Microsoft Fabric, Azure Synapse, Azure Databricks, or similar cloud data platforms Experience designing and maintaining lakehouses and data warehouses Experience building and managing enterprise‑grade semantic models Strong understanding of data modeling principles and semantic layer design Experience with Git‑based workflows (GitHub) and CI/CD for data products Power BI or Microsoft Fabric certification (PL‑300, DP‑600) preferred Experience with Microsoft Fabric components: lakehouses, dataflows, pipelines, notebooks, semantic models Experience building Power BI semantic models and dashboards Familiarity with Power BI service (workspaces, deployment, RLS, dataflows) Experience working in Finance or with financial data (SAP) is a plus Strong collaboration and communication skills Must be authorized to work in the U.S. (no visa sponsorship) #J-18808-Ljbffr Brooksource