Staff Data Engineer

Henry Schein•Washington, DC

1d•$150,000 - $165,000•Remote

About The Position

As a Staff Data Engineer for the Patient Experience and Analytics Solution, you will help drive technical strategy and execution while representing Data Engineering across the business. This hands-on technical role involves partnering with the team to solve complex challenges, reviewing critical implementations, and modeling engineering best practices. The role focuses on building and operating large-scale data platforms, including real-time streaming, batch ETL, data warehousing, CDC patterns, and high-volume analytical environments. You will work with mission-focused teams to solve meaningful problems, ship continuously, and improve oral care experiences for dental professionals and patients. Teams operate in six-week cycles that balance innovation, technical excellence, product delivery, and team growth. The position is remote within the United States, with up to 10% travel as needed. Technologies and platforms include Python, Go, PHP, Redshift, Aurora, DynamoDB, MySQL, AWS, serverless architecture, CloudFormation, Docker, Kafka, Spark, PySpark, Jira, GitLab, Selenium, and Dynatrace. Relevant AI/ML technologies include LLMs, RAG, prompt engineering, agentic frameworks, model evaluation and monitoring, responsible AI, AI-assisted developer tools, and AI-DLC.

Requirements

7+ years of progressive software/database and data solution development experience.
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 ownership and accountability.
Demonstrates empathy, authenticity, curiosity, and courage in leadership and decision-making.

Nice To Haves

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

Responsibilities

Mentor offshore engineering teams while remaining hands-on in technical execution and delivery.
Partner with teams to ensure products are secure, compliant, reliable, and operationally sound.
Collaborate with Product to execute product vision and strategy through technical plans.
Build cross-functional relationships and influence stakeholders to improve customer and user experience.
Advance engineering processes, practices, and organizational maturity to support growth and scalability.
Influence technical and operational decisions across teams, driving consistency, innovation, and engineering excellence.
Review critical implementations and model engineering best practices.
Build and operate large-scale data platforms involving real-time streaming, batch ETL, data warehousing, CDC patterns, and high-volume analytical environments.