Staff Data Engineer

Job not on LinkedIn

🔥 4 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $150k - $165k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Henry Schein

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

🏥 Healthcare

🍽️ Food & Beverage

🏭 Manufacturing

Healthcare • Food & Beverage • Manufacturing

Henry Schein is a global company dedicated to servicing a range of medical and dental providers. It offers a comprehensive portfolio of products and solutions, including practice management software, large equipment, and technology services. Founded in 1932, Henry Schein has established itself as a leader in healthcare products and services, with a commitment to improving health and increasing access to care through strategic growth and innovation across its global operations.

📋 Description

• Drive technical strategy and execution for the Patient Experience and Analytics Solution • Represent Data Engineering across the business • Partner with the team to solve complex technical challenges • Review critical implementations and model engineering best practices • Mentor offshore engineering teams while remaining hands-on in technical execution and delivery • 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 • Influence technical and operational decisions across teams • Design, build, and operate large-scale data platforms using real-time streaming, batch ETL, data warehousing, CDC patterns, and high-volume analytics

🎯 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 • Proficiency or experience with Python, Go, PHP, Redshift, Aurora, DynamoDB, MySQL, AWS, Serverless Architecture, CloudFormation, Docker, Kafka, Spark, PySpark, Jira, GitLab, Selenium, Dynatrace, and AI/ML technologies • Excellent communication, collaboration, and stakeholder management skills • Self-motivated, proactive, and adaptable with ownership and accountability • Bachelor’s Degree in Computer Science, Engineering, or a related field (listed as a differentiator) • AWS Certified Data Engineer (listed as a differentiator) • Must be able to work remotely within the United States • Up to 10% travel as needed

🏖️ Benefits

• Competitive compensation • Medical, Dental and Vision Coverage • 401K Plan with Company Match • Paid Time Off (PTO) • Paid Parental Leave • Short Term Disability • Work Life Assistance Program • Health Savings and Flexible Spending Accounts • Education Benefits • Worldwide Scholarship Program • Volunteer Opportunities • Career growth and development opportunities • Bonus target eligibility