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Principal Data Engineer - Chicago Illinois
Company: Aspen Dental Location: Chicago, Illinois
Posted On: 05/03/2024
The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 16,000 healthcare professionals and team members at more than 1,200 health and wellness offices across 46 states in four distinct categories: Dental care, urgent care, medical aesthetics, and animal health. 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. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. Our continued growth has created an opportunity to join our as Principal Data Engineer. As a principal data engineer, you will join one of our teams focused on helping data scientist architect and deploy AI models. You will also work alongside developers modernizing our legacy systems by developing new services using cloud-native GCP technologies. Responsibilities - Architect and build core components of the Machine Learning Platform infrastructure
- Work multi-functionally with data scientists, data engineers, IT teams, and business partners to design, develop, deploy, and integrate high-performance machine learning solutions and data intensive workflows
- Partner with data scientists and data engineers to build high-performance, efficient feature pipelines from backend data sources to train models and serve features to machine learning applications
- Partner with data platform and operations teams to solve complex data ingestion, pipeline, and governance problems for machine learning solutions
- Partner with Business Teams to understand workflow and implement optimized solutions.
- Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
- Provide technical mentorship, guidance, and quality-focused code review to data scientists and engineers.
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