Manager, Data Engineering at Henry Schein One

Worldwide | Sept. 2, 2026

Report as Closed

Company: Remote First

Country: Worldwide

Type: Remote

Employment: Full-time

Description:

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

As Data Engineering Manager for our Patient Experience and Analytics Solution, you’ll lead technical strategy, drive execution, and represent Data Engineering across the business. This is a hands-on leadership role where you’ll partner with your team to solve complex challenges, review critical implementations, and model engineering best practices.

We’re seeking a leader with experience building and operating large-scale data platforms, including real-time streaming (Kafka), batch ETL, data warehousing, CDC patterns, and high-volume analytical environments.

Our mission-focused teams are empowered to solve meaningful problems, ship continuously, and improve oral care experiences for thousands of dental professionals and patients. Working within a 6-week operating cycle, you’ll help balance innovation, technical excellence, product delivery, and team growth.

This position is remote within the United States with up to 10% travel as needed.

What You Will Do

• Lead and mentor engineering teams while remaining hands-on in driving technical execution and the delivery of market-leading solutions that improve the lives of Henry Schein One users and their patients
• Recruit, develop, and retain high-performing engineers and engineering leaders, fostering a culture of growth, accountability, and continuous improvement
• Coach and support team leaders to successfully deliver on team objectives, commitments, and strategic priorities
• Identify and remove delivery roadblocks, enabling teams to practice continuous delivery and scale effectively
• Partner with teams to ensure products are secure, compliant, reliable, and operationally sound
• Collaborate with Product and senior leadership to shape product vision, strategy, and execution plans
• Build strong cross-functional relationships and influence stakeholders to drive the best possible customer and user experience
• Advance engineering processes, practices, and organizational maturity to support continued growth and scalability
• Influence technical and operational decisions across teams, helping drive consistency, innovation, and engineering excellence

Technologies and Platforms:

• Languages and Frameworks: Python, Go, PHP
• Database: Redshift, Aurora, DynamoDB, MySQL
• Cloud: AWS, Serverless Architecture, CloudFormation, Docker
• Big Data: Kafka, Spark, PySpark
• DevOps & Tools: Jira, Gitlab, Selenium, Dynatrace
• AI/ML technologies: LLMs, RAG, prompt engineering, agentic frameworks, model evaluation and monitoring, responsible AI, AI-assisted developer tools, and AI-DLC

What We Are Looking For

• 7+ years of progressive software/database and data solution development experience
• Proven ability to balance hands-on technical delivery with people leadership, including mentoring, coaching, developing talent, managing performance, and leading teams in a player-coach capacity
• Experience designing and supporting large-scale data pipelines, integrations, APIs, and high-volume data processing environments
• Solid understanding of data architecture, data movement patterns, and scalable system design
• Excellent communication, collaboration, and stakeholder management skills
• Self-motivated, proactive, and adaptable with a sense of ownership and accountability
• Demonstrates empathy, authenticity, curiosity, and courage in leadership and decision-making

What Will Set You Apart

• Bachelor’s Degree in Computer Science, Engineering, or a related field
• AWS Certified Data Engineer

The posted range for this position is $150,000 - $165,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior e

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