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. 

　　As a part of the data engineering 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 MS-SQL, SSIS, GCP Big Query, and Python, using advanced SQL and NoSQL data layers on Kubernetes operating as an active-active multi-region solution.

　　Responsibilities

　　Partner with software developers on designing and implementing the new modern cloud architecture on the Google cloud platform.

　　Working with data analytics and other data engineers over designing, developing, and deploying data pipelines with established data governance guidelines and best practices. 

　　Help drive data analytics and data modeling and build data pipelines and dashboards.  

　　Troubleshoot critical issues in a production environment when needed.

　　Contribute innovative ideas to improve software practices and processes for our platform.

　　Contribute and help manage the development and software rollout process.

　　Work independently and make sound technical decisions with and without guidance.

　　Experience Requirements

　　Bachelor's Degree or higher in CS, CIS, Data, Analytics, or a related field

　　With 10+ years of hands-on and 1+ years tech lead experience, will consider as lead

　　Strong technical expertise, people skills, and excellent communication skills

　　Experience building data pipelines on cloud-based solutions with modern Python.

　　Experience with legacy ETL SSIS tool and SSRS reporting services

　　Experienced with SQL, ideally SQL Server or PostgreSQL data solutions.

　　Experience with dealing with the security and compliance side of software development.

　　Experienced with transactional DB, immutable DB, and data warehouse

　　Experienced with building out and maintaining metrics, alarms, and monitoring services.

　　Data engineering, data analysis, data pipeline, and metrics creation skills