Manager of Data Engineering

Pay Range $160,000.00/yr - $190,000.00/yr Company Overview 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 four distinct categories: Dental Care, Urgent Care, Pet 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. TAG 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, Lovet Veterinary Clinics and Chapter Aesthetic Studio. 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. Position Overview As the Manager of Data Engineering at TAG you will be responsible for overseeing a team of data engineers and driving the development and maintenance of our data infrastructure. You will play a critical role in ensuring data quality, transformation and orchestration while working closely with cross‑functional teams to support data‑driven decision‑making. This position offers a unique chance to lead a team and contribute to the organization’s data‑driven success. While you will be in a leadership role you are expected to have hands‑on keyboard and also contribute to building data pipelines and supporting Capitalized and Operational Driven Projects. Key Responsibilities Leadership, Mentorship and Day‑to‑Day Management of Data Engineering Pods and Resources Development of DBT Pipelines for data transformation, including cataloging, lineage, freshness and data quality checks; implement best practices to optimize transformation processes. Code Reviews: Conduct thorough code reviews to ensure the quality, efficiency and maintainability of data engineering code; provide constructive feedback and mentor team members. Governance and Best Practices: Hold the team accountable for adhering to code quality, dbt best practices and data governance standards; establish and enforce coding standards and guidelines. Infrastructure Management: Collaborate with the Data Platform Team to define and maintain the infrastructure for data engineering code; ensure scalability, reliability and performance of pipelines. Airflow and DAG Quality: Implement and maintain Airflow workflows and DAGs to orchestrate data pipelines effectively; ensure quality and reliability of scheduling and execution. GCP Technologies: Leverage Google Cloud Platform technologies such as Pub/Sub, DataFlow, Cloud Functions, BigQuery and Cloud Storage to design and optimize solutions. Team Leadership: Lead and mentor a team of data engineers, fostering collaboration, continuous learning and innovation; provide guidance on technical and career development. Data Collaboration: Collaborate closely with data scientists, analysts and other stakeholders to understand their data requirements and provide engineering support. Agentic AI and RAG Integrations: Stay updated with latest advancements in Agentic AI and RAG; evaluate and integrate where appropriate to enhance retrieval, generation and efficiency. Vibe Coding Practices: Lead the integration of Vibe coding practices into engineering processes; define guardrails to ensure ethical and responsible usage; mentor the team on prompting style guides and tooling choices. Qualifications / Requirements Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Business Analytics); master’s degree preferred. Proven experience in data engineering, with at least 2 years in a leadership or managerial role. Minimum of 5 years’ experience in a Data Engineering role – preference of 7 years for highly qualified candidates. Expertise in DBT for data transformation, including cataloging, lineage, freshness and data quality checks. Strong understanding of data governance principles and best practices. Proficiency in Airflow and DAG development. Experience with Google Cloud Platform technologies; preferably with Professional Data Engineer Certification. Excellent coding skills in Python and SQL. Strong leadership, communication and problem‑solving skills. Knowledge of Agentic AI, RAG and Vibe Coding Technologies and their implementation. Location Onsite 4 days/week in our Chicago office (Fulton Market District). Benefits Generous benefits package including paid time off, health, dental, vision, and 401(k) savings plan with match. Medical insurance Vision insurance 401(k) Paid maternity leave Employment Details Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: Hospitals and Health Care and Retail Other Referrals increase your chances of interviewing at TAG – The Aspen Group by 2x. #J-18808-Ljbffr