Senior Staff Data Engineer

Stryker; United States; On-site; USD 118,000 - 255,000; Full time

Job summary

Stryker is seeking a Senior Data Engineer to shape modern data architecture and build scalable, enterprise-grade data platforms across healthcare, clinical, device, and commercial domains.

You will drive end-to-end data engineering initiatives, govern data assets, and mentor teams to promote high-performance, compliant data ecosystems using Azure, Databricks, and related tools.

Qualifications

• Bachelor's degree in a related field.
• Minimum 6 years of data engineering/architecture experience.
• Experience with Azure and Databricks.

Responsibilities

• 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.

Skills

Data architecture

Azure

Databricks

Spark

Python

SQL

ETL/ELT pipelines

Data governance

Healthcare data

Leadership

Education

Bachelor's degree in CS/Data Analytics/Math/Statistics/Data Science

Tools

Databricks

Azure Data Factory

Synapse

ADLS Gen2

Unity Catalog

Delta Lake

Job description

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.

What You Will Do

• 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

What You Will Need

• 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 Gen2.
• 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.

Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.