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.

**Experience**

Technical education in Computer Science, Data Science, Engineering, or equivalent experience (Masters degree or higher preferred)

5 years of Data Engineering experience (ML-focused highly preferred)

1 years of experience developing cloud-native solutions (GCP preferred)

Familiarity with the practical aspects of machine learning and experience with common technologies and frameworks such as pandas, NumPy, PyTorch, TensorFlow, Spark, scikit-learn.

Strong experience with Java, Python or other object oriented programming language.

Strong desire to learn new technologies and stay aligned with the latest developments in the machine learning engineering community.

Experience building real-time stream processing solutions with technologies such as Kafka, Flink, and Spark a bonus

Experience with Kubernetes a bonus

**Salary:** $147,000 - 195,000

If you are an applicant residing in California, please view our privacy policy here:

https://careers.aspendental.com/us/en/tag-privacy-policy-for-california-employees