The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,000 health and wellness offices across 46 states in three distinct categories: Dental care, urgent care, and medical aesthetics.

Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. ADMI provides a comprehensive suite of centralized business support services that power the impact of four consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, and Chapter Aesthetic Studio. Each brand has access to a deep community of experts, tools, and resources to grow its practices and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

TAG has reached the size to invest in building a technology platform that will transform and modernize the dental industry. TAG has two ongoing digital transformations with platform modernization with a cloud-native migration that will empower an exciting digitalization of the dental industry with advances in 3D printing, scanning, AI, and much more. As a part of the data engineering leadership team, you will join one of our teams focused on a core business domain - clinical operation that generates revenue and claim.

You will work alongside developers modernizing our legacy systems by developing new software and services using cloud-native GCP technologies. Our stack uses Microsoft .NET (7), and Python, using advanced SQL and NoSQL data layers on Kubernetes operating as an active-active multi-region solution.

This role needs both SQL development, business intelligence and data pipeline concept and hands-on skills, including working with GCP BI tools and other modern data technologies supporting the team's data analytics. The team has several business-critical systems that we are enhancing with real-time analytics.Job SummaryJob number: R2023-015520Date posted : 2023-08-14Profession: TechnologyEmployment type: Full time.