PointClickCare is a leading North American healthcare technology platform enabling meaningful care collaboration and real‐time patient insights. For over 20 years, the company has been focused on realizing its vision: to help create a world in which providers and plans can confidently deliver frictionless care. Since its inception, PointClickCare has grown exponentially, with over 2,200 employees working to impact millions across North America. Recognized by Forbes as one of the top 100 private cloud companies and acknowledged by Waterstone Human Capital as Canada’s Most Admired Corporate Cultures, PointClickCare leads the way in creating cloud-based healthcare software.
At PointClickCare, we offer a wealth of opportunities and a vibrant culture that empowers our employees. Our dynamic environment is the perfect place to advance your career while engaging in meaningful work alongside incredible colleagues. Here, you’ll discover a space where your talents can thrive, your career can grow, and your work will have a lasting impact on healthcare across North America. We believe that work becomes profoundly fulfilling when driven by a higher purpose.
Join us and be part of a team that is making a real impact.
About the Team:
We are a team of 7 data engineers supporting the Acute and Payer Data Science Department at PointClickCare. Our team consists of seasoned data engineers who are passionate about utilizing AI in our work processes and value innovation. We are currently building a comprehensive data warehouse and migrating away from legacy code. Our team is a hybrid team, with 3 engineers local to Salt Lake City and 3 remote across California and Dallas. This role will be a hybrid in our Salt Lake City office. It is an exciting time to join our team as we have recently implemented new infrastructure that has unlocked capabilities previously unavailable.
About the Role:
PointClickCare is looking for an Associate Data Engineer to support our Data Science team. The Associate Data Engineer will be responsible for working with the Data Science team to develop the necessary database infrastructure and tools to meet analytic needs.