Manager, Data Engineering

0507 Team TAG Services, LLC; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

0507 Team TAG Services, LLC is seeking a Manager of Data Engineering to lead the design and reliability of our enterprise data platform. In this hands-on role, you will mentor a team of Data Engineers and ensure delivery across multiple domains.

The ideal candidate has extensive experience in data architecture, strong leadership skills, and familiarity with AI-assisted development practices. This position offers an opportunity to work with modern cloud technologies and shape the future of our data operations.

Qualifications

• Experience in leading and mentoring data engineering teams.
• Strong knowledge of data architecture and delivery processes.
• Familiarity with AI-assisted development and platform reliability.

Responsibilities

• Lead and mentor a team of Data Engineers in sprint planning.
• Own architecture and delivery of scalable data pipelines.
• Ensure data platform reliability and compliance with governance.

Skills

Data pipeline architecture

Team leadership

AI-assisted development

Data governance

Cloud technologies

Tools

dbt

Airflow/Cloud Composer

BigQuery

Terraform

CI/CD

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.

Job Description

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi‑brand environment. It is a hands‑on leadership role covering people management, architecture, platform engineering, and operations.

Key Responsibilities

• 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.
• 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 and evaluate new technologies to drive platform modernization.
• 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.
• 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