Manager, Data Engineering

Henry Schein One is a leader in healthcare technology, seeking a Data Engineering Manager to lead data engineering teams in building global data solutions. The role involves influencing technical objectives, coding alongside teams, and ensuring high-quality data pipelines and solutions.

Responsibilities:

• Lead teams of software engineers to improve the lives of Henry Schein One users and their patients through the creation of market-leading solutions
• Help recruit, develop, and retain engineers to create a high-performing team
• Oversee team leaders and support them in fulfilling their mission and delivery commitments
• Enable engineering teams to practice continuous delivery at scale by identifying and removing workflow roadblocks
• Inspire, motivate and coach to enable continuous development of team leaders and their teams
• Ensure products are secure, compliant and reliable for Henry Schein One customers
• Collaborate with senior leaders on the vision and strategy for workstreams and products
• Partner closely with Product leadership to influence and understand the strategic commitments of your teams
• Build strong cross-functional relationships and influence others to pursue the best possible user experience
• Enable process and practice maturity to deliver on global growth opportunities
• Positively and collaboratively influence decision-making to improve practices across your teams, department, and stakeholder network

Requirements:

• 7+ years of progressive software development and data solution development experience
• 2+ years leading high-performing teams in remote or hybrid environments
• Proven technical expertise with modern development practices and the technologies listed in the section above; able to contribute both code and architecture guidance
• Experience balancing leadership and delivery in a player-coach capacity, with a path toward full management
• Strong people leadership skills: mentoring, coaching, and supporting career development at individual and team-lead levels, including the ability to address performance issues thoughtfully and directly when needed
• Experience designing and operating large-scale ETL/ELT data pipelines, including real-time streaming (Kafka) and batch processing workloads
• Proven track record working in high-volume data environments processing billions of daily messages and multi-terabyte analytical datasets
• Strong understanding of data warehouse architecture, change data capture (CDC) patterns, and incremental versus full load strategies
• Deep understanding of RESTful API design and integration
• Experience connecting with internal and third-party services
• Familiarity with cloud platforms such as AWS or Azure, with preference for AWS data services (Glue, Redshift, S3, Step Functions)
• Experience with AI tooling (Cursor or others)
• Excellent communication and cross-functional collaboration skills
• Self-motivated, proactive, and reliable
• Values-driven: empathy, authenticity, curiosity, and courage
• Bachelor's degree in Computer Science
• Certifications