Senior Data Engineer

🔥 0 minutes ago

🌵 Arizona, Michigan, +1 more states – Remote

🌵 Arizona – Remote 🚗 Michigan – Remote 🤠 Texas – Remote

💵 $89.3k - $193.4k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Stryker

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1941

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Stryker is a global leader in medical technology, providing innovative products and services across the healthcare sector. With a presence in countries across the Americas, Asia Pacific, Europe, and the Middle East & Africa, Stryker offers a wide range of medical technologies, including orthopedic implants, surgical equipment, and advanced hospital devices. The company is committed to improving patient outcomes and healthcare efficiency. Stryker continues to expand its global reach, offering localized solutions to meet diverse healthcare needs worldwide.

📋 Description

• Translate business and stakeholder needs into scalable data engineering and data science solutions • Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes • Communicate technical concepts, project updates, and analytical findings through presentations, reports, and visualizations • Apply data engineering best practices to solve complex business problems and support decision-making • Gather, document, and refine business and technical requirements for data products, platforms, and solutions • Create and maintain technical documentation for data assets, pipelines, systems, and processes • Support the design and implementation of data architecture, data movement, and integration solutions • Contribute to continuous improvement initiatives focused on data quality, performance, scalability, and automation

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Data Analytics, Mathematics, Statistics, Data Science, Information Systems, or a related field • Minimum 2 years of professional experience in data engineering, data architecture, analytics engineering, or other data related disciplines • Experience developing and maintaining data pipelines, data integrations, and data solutions in cloud-based environments • Proficiency in at least one core data engineering language such as Python, SQL, or Spark • Experience working with object-oriented programming concepts and data structures • Knowledge of ETL/ELT development, data modeling, data warehousing, and distributed data processing • Experience with Apache Spark, Databricks, Power BI, or similar analytics and big data technologies • Knowledge of infrastructure as code (IaC) tools and cloud-native data architectures • Experience optimizing data pipelines, workflows, and distributed computing environments for performance and scalability

🏖️ Benefits

• Remote work flexibility • Equal opportunity employment • 20% travel percentage