Senior Data Engineer

<div class="content-intro"><h2><strong><span style="color: rgb(31, 123, 182);">Who We Are</span></strong></h2> <p><span style="color: rgb(78, 77, 77);">QGenda is redefining healthcare workforce management everywhere care is delivered. We're on a mission to empower the healthcare industry to better onboarding, deploy, and manage their workforce. Over 4,500 healthcare organizations have trusted us to help them make strategic workforce decisions through our unified software platform. With more than 800 employees across the US, we are united in our vision and culture to make a difference for our customers, while enjoying the day-to-day. </span></p> <p><span style="color: rgb(78, 77, 77);">At QGenda, we value our employees and their contributions toward the success of the business. We strive to create a dynamic work environment that fosters growth, innovation, and collaboration, where employees can be proud of the work they do and the impact it has on the healthcare industry. </span></p> <p><span style="color: rgb(78, 77, 77);">QGenda is headquartered in Atlanta. </span></p> <p><span style="color: rgb(78, 77, 77);">To learn more about QGenda, visit us at <a href="qgenda.com" target="_blank">qgenda.com</a> or follow us on <a href="https://www.instagram.com/qgendalife/" target="_blank">Instagram</a> or <a href="https://www.linkedin.com/company/qgenda/" target="_blank">LinkedIn</a>. </span></p></div><h2><span style="color: rgb(31, 123, 182);"><strong>About Your Role </strong></span></h2> <p>As a Senior Data Engineer, you will design, build, and optimize the data platform, including pipelines, models, and infrastructure that power analytics, reporting, and data-driven decision making across the QGenda product lines. You will serve as a technical leader with the team, contributing to architectural direction, driving best practices, and supporting complex data initiatives. This role requires deep technical expertise, strong cross-functional collaboration, and the ability to deliver scalable, high-performing data systems that meet evolving business needs.</p> <h2><span style="color: rgb(31, 123, 182);"><strong>How You’ll Make an Impact </strong></span><strong><br></strong></h2> <p><strong>Deliver High-Quality, Scalable Data Engineering Solutions</strong></p> <ul> <li>Architect, develop, test, and maintain ELT/ETL pipelines and data workflows supporting high-volume analytics</li> <li>Implement advanced data processing solutions and