What are the responsibilities and job description for the Data Engineer position at Team TAG Services, LLC?
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 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 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.
As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Data Engineer.
Job Summary:
We are looking for a Data Engineer to build and maintain scalable, cloud-native data pipelines using DBT Cloud, Python, Airflow, and Google BigQuery. You will be responsible for developing efficient ELT workflows, optimizing data models, and ensuring high-performance data processing to support analytics and business intelligence initiatives.
This role is ideal for someone with strong technical expertise in modern data engineering practices, a passion for cloud technologies, and a desire to work on scalable, high-impact data solutions.
Key Responsibilities:
Data Pipeline Development & Optimization:
- Build and maintain scalable ELT pipelines using DBT Cloud, Python, and Airflow.
- Optimize BigQuery data models for performance, cost-efficiency, and scalability.
- Develop data transformations and ensure data quality across all pipelines.
- Automate and monitor data workflows to ensure reliability and observability.
Platform & Infrastructure:
- Work with Google Cloud services (BigQuery, Cloud Storage, Pub/Sub) to build highly available data solutions.
- Implement best practices for data security, governance, and compliance.
- Collaborate with engineering and DevOps teams to establish CI/CD pipelines for data workflows.
Collaboration & Continuous Improvement:
- Work closely with data analysts, scientists, and business teams to support reporting and analytics needs.
- Identify performance bottlenecks and propose innovative solutions to improve data processing efficiency.
- Stay up to date with the latest data engineering trends and cloud technologies.
Qualifications & Experience:
- 2 years of experience in data engineering or a related field.
- Strong proficiency in DBT Cloud, Python, Airflow, and Google BigQuery.
- Experience designing scalable ELT data pipelines in cloud environments.
- Familiarity with SQL performance tuning and data warehousing best practices.
- Hands-on experience with orchestration tools (Airflow, Prefect, etc.).
- Knowledge of data governance, security, and compliance best practices.
Preferred Qualifications:
- Experience with streaming architectures (Kafka, Pub/Sub, Dataflow, etc.).
- Exposure to infrastructure as code (Terraform, etc.).
- Knowledge of data observability and monitoring tools.
- Google Cloud Certified Data Professional
- This role is onsite 4 days/week in our Fulton Market office
- A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match
- Salary: $115,000-140,000/year
Salary : $115,000 - $140,000
