Location: Chicago, IL
Cap-Exempt H-1B Position — No lottery required
**Location:** Chicago, Illinois / Remote **Business Unit:** Rush Medical Center **Hospital:** Rush University Medical Center **Department:** RUSH Digital Transformation **Work Type:** Full Time (Total FTE between 0.9 and 1.0) **Shift: Shift 1** **Work Schedule:** 8 Hr (8:00:00 AM - 4:00:00 PM) **Rush offers exceptional rewards and benefits learn more at our** Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits). **Pay Range:** $34.61 - $58.14 per hour Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case. **Summary:** Join Rush as a **Sr. Data Developer** and play a pivotal role in advancing data-driven decision-making across a growing portfolio of digital transformation initiatives. In this high-impact role, you will partner with stakeholders across the organization to design and deliver sophisticated dashboards, reports, and analytics that directly influence clinical, operational, and financial outcomes. As part of the Knowledge Management team within Digital Transformation, you’ll work at the intersection of business and technology—translating complex data into meaningful insights that support over 20 strategic initiatives and a multi-million-dollar portfolio. Your work will help drive measurable outcomes, including supporting initiatives projected to deliver significant ROI over the next several years. This is an opportunity for a technically strong and analytically minded professional who thrives in a collaborative environment. You’ll leverage tools like Power BI, SQL Server, and Azure to build scalable reporting solutions, while also engaging directly with stakeholders to gather requirements, define metrics, and ensure data quality a