Senior Staff Data Engineer

Stryker; Portage (MI); On-site; USD 118,000 - 256,000; Full time

Benefits offered by this job

Health benefits

Dental insurance

Vision insurance

401(k) plan

Employee Stock Purchase Plan (ESPP)

Short-term disability

Hospital indemnity insurance

Wellbeing program

Vaccination programs where required

Job summary

Stryker is seeking a senior data engineer to shape enterprise data architecture across Azure and Databricks, building scalable ingestion, transformation, and modeling frameworks for multi-domain healthcare data. You will champion data governance, lineage, and access controls while delivering end-to-end data engineering initiatives.

You'll lead design of reusable data assets and data products enabling self-service analytics, mentoring teams and advancing engineering standards.

Qualifications

• Bachelor's degree or higher in a relevant field.
• Minimum 6 years of data engineering and architecture experience.

Responsibilities

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

Skills

Databricks

Delta Lake

Unity Catalog

Azure Data Factory

Synapse

ADLS Gen2

Medallion or Lakehouse

Spark

SQL

Python

ETL/ELT pipelines

Orchestration

Data governance

Healthcare data

Education

Bachelor's degree in Computer Science / Data Analytics / Mathematics / Statistics / Data Science

Tools

Azure Data Factory

Synapse

ADLS Gen2

Databricks

Delta Lake

Unity Catalog

Spark

Python

SQL

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.

Posted Date: 08/11/2026 This role will be posted for a minimum of 3 days.

• 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

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
• 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
• 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.