Job description

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 with 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 Lovet. 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 Manager, Data Engineering. Job Description The Manager, Data Engineering leads the design, delivery, and reliability of TAG s enterprise data platform across our multi-brand environment. It s a hands-on leadership role covering people management, architecture, platform engineering, and operations. The right person can lead a team of Data Engineers and still do the work themselves — technical design, code reviews, incident management, platform modernization, and engineering standards. They ll also drive AI-assisted development, automation, and cloud cost optimization to keep the team productive and the platform scalable. Key Responsibilities Leadership & Delivery Lead, mentor, and grow a team of Data Engineers across multiple domains. Run sprint planning, backlog prioritization, and delivery. Balance strategic work, operational support, and technical debt. Partner with business, analytics, and technology leaders to align priorities. Data Platform & Engineering Own the architecture and delivery of scalable data pipelines, semantic models, and data products. Set standards for data modeling, integration, and platform architecture across dbt, Airflow/Cloud Composer, BigQuery, Terraform, and CI/CD. Lead design reviews, evaluate new technologies, and drive platform modernization. AI & Engineering Excellence Lead AI-assisted development (Claude AI/Gemini Enterprise) across code reviews, documentation, testing, and automation. Set standards and governance for responsible use of AI-generated code. Reliability, Operations & Cloud Own data platform reliability, monitoring, incident response, and root cause analysis. Establish SLAs, operational metrics, and on-call processes. Ensure compliance with data governance, security, privacy, and access management. Optimize performance, scalability, and cost across GCP, including BigQuery consumption, storage, and slot utilization. Qualifications Required Experience Bachelor’s degree in computer science, Engineering, Information Systems, or related field. GCP Professional Data Engineer Certification a plus. 7 years of Data Engineering experience with modern cloud data platforms. 3 years of leadership experience managing Data Engineering teams. Technical Skills Strong expertise in SQL, Python, dbt, and Airflow/Cloud Composer. Hands-on experience with Google Cloud Platform, including BigQuery, GCS, Pub/Sub, Dataflow, Cloud Functions, and Vertex AI. Experience with Infrastructure as Code (Terraform) and CI/CD automation. Strong understanding of data warehousing, semantic modeling, data quality, and governance across batch, streaming, and event-driven architectures. Leadership Competencies Strong communication and stakeholder management skills. Ability to translate business requirements into scalable technical solutions. Experience leading cross-functional initiatives and influencing technical direction. Track record of building strong teams and a solid engineering culture. *This role is onsite 4 days/week in our Chicago office (Fulton Market District) Annual Salary Range: $160,000-$190,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: careers.aspendental.com

Requirements

Must-haves

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 Manager, Data Engineering.
Leadership & Delivery
Lead, mentor, and grow a team of Data Engineers across multiple domains.
Run sprint planning, backlog prioritization, and delivery.
Balance strategic work, operational support, and technical debt.
Partner with business, analytics, and technology leaders to align priorities.
Data Platform & Engineering
Own the architecture and delivery of scalable data pipelines, semantic models, and data products.
Set standards for data modeling, integration, and platform architecture across dbt, Airflow/Cloud Composer, BigQuery, Terraform, and CI/CD.
Lead design reviews, evaluate new technologies, and drive platform modernization.
AI & Engineering Excellence
Lead AI-assisted development (Claude AI/Gemini Enterprise) across code reviews, documentation, testing, and automation.
Set standards and governance for responsible use of AI-generated code.
Reliability, Operations & Cloud
Own data platform reliability, monitoring, incident response, and root cause analysis.
Establish SLAs, operational metrics, and on-call processes.
Ensure compliance with data governance, security, privacy, and access management.
Optimize performance, scalability, and cost across GCP, including BigQuery consumption, storage, and slot utilization.
7 years of Data Engineering experience with modern cloud data platforms.
3 years of leadership experience managing Data Engineering teams.
Technical Skills
Strong expertise in SQL, Python, dbt, and Airflow/Cloud Composer.
Hands-on experience with Google Cloud Platform, including BigQuery, GCS, Pub/Sub, Dataflow, Cloud Functions, and Vertex AI.

Nice-to-haves

Bachelor’s degree in computer science, Engineering, Information Systems, or related field. GCP Professional Data Engineer Certification a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdgcpsqlpython

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness