Eli Lilly - Fabric Data Engineer (FinTech)
Indiana, Pennsylvania, United States of America
Contract
1 week ago
$60 USD
Key skills
SQLAIData EngineeringAnalyticsBIBusiness IntelligencePower BIDatabricksAzureGitGitHubSAPCI/CDCommunicationCollaboration
About this role
Fabric Data Engineer
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
#LI-ZM1
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
- 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)
#LI-ZM1