Senior Staff Data Engineer

Work Flexibility

Remote Join a team focused on building scalable, enterprise-grade data platforms that support complex healthcare, clinical, device, and commercial data domains. In this role, you will shape modern data architecture strategies, develop reusable data products, and help establish secure, governed, and high-performing data ecosystems using cloud-based technologies.

• Define and evolve enterprise data architecture patterns across Azure and Databricks environments.
• Establish scalable data ingestion, transformation, and modeling frameworks supporting multi-domain data.
• Drive platform decisions related to performance optimization, scalability, and cost efficiency.
• Lead the design and implementation of reusable data assets and data products that enable self-service analytics.
• Own end-to-end delivery of complex data engineering initiatives from requirements through deployment.
• Design and implement data pipelines supporting healthcare data sources including EHR, registries, imaging, robotics, telemetry, and patient-reported outcomes.
• Define and implement data governance, lineage, cataloging, and access-control frameworks while supporting privacy and compliance requirements.
• Provide technical leadership, mentor data engineering teams, and contribute to engineering standards and continuous improvement initiatives.

• Required Qualifications
• Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a related field.
• Minimum 6 years of related data engineering and architecture experience.
• Preferred Qualifications
• Experience with Databricks, including Delta Lake and Unity Catalog, and Azure data services such as Azure Data Factory, Synapse, and ADLS Gen
  2.
• Experience designing scalable data architectures using medallion or lakehouse patterns.
• Experience with distributed data processing technologies, including Spark, SQL, and Python.
• Experience architecting and optimizing large-scale ETL/ELT pipelines, orchestration frameworks, and performance tuning solutions.
• Experience implementing data governance, metadata management, lineage, and data quality frameworks.
• Knowledge of healthcare data, clinical datasets, privacy regulations, and compliance requirements.

• USN: $118,000 - $196,700 USD Annual
• US5: $123,900 - $206,500 USD Annual
• US10: $129,800 - $216,400 USD Annual
• US15: $135,700 - $226,200 USD Annual
• US20: $141,600 - $236,000 USD Annual
• US30: $153,400 - $255,700 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

Stryker is one of the world's leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World's Best Workplaces! For more information, visit:

Remote
- Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location. Field-based
- You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based. Onsite
- Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category. Hybrid
- You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation…