Overview
Remote
On Site
USD 100,500.00 - 215,300.00 per year
Full Time
Skills
Operational Excellence
Requirements Elicitation
Database
Servers
Accessibility
Management
Data Modeling
Finance
Collaboration
Data Engineering
Analytics
Object-Oriented Programming
Data Structure
Core Data
SQL
Python
Extract
Transform
Load
ELT
Orchestration
Data Warehouse Architecture
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Power BI
Business Intelligence
Computer Science
Mathematics
Statistics
Data Science
Programming Languages
Data Analysis
R
DAX
Data Security
Privacy
Agile
DevOps
Project Management
Legal
Job Details
Work Flexibility: Remote
As a Lead Data Engineer in our Endoscopy division, you'll architect and deliver scalable data solutions that directly impact commercial strategy and operational excellence. This is your opportunity to shape how data is accessed, interpreted, and leveraged across the business.
What You Will Do
What You Will Need
Required Qualifications
Preferred Qualifications
$100,500.00 - $215,300.00 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors.
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.
As a Lead Data Engineer in our Endoscopy division, you'll architect and deliver scalable data solutions that directly impact commercial strategy and operational excellence. This is your opportunity to shape how data is accessed, interpreted, and leveraged across the business.
What You Will Do
- Lead end-to-end data engineering projects from requirements gathering through architecture validation and deployment.
- Design and build robust data infrastructure to transform and structure data from multiple systems for downstream use.
- Develop and maintain databases, servers, and data models that support commercial business needs.
- Manage data platforms including Azure and Power BI, ensuring optimal performance and accessibility.
- Oversee data model refresh schedules to balance business needs with system efficiency.
- Evaluate financial impacts of existing projects and new data opportunities.
- Collaborate with enterprise functions, data analysts, and business stakeholders to identify and implement data-driven solutions.
- Investigate and implement new data engineering infrastructure to support evolving business requirements.
What You Will Need
Required Qualifications
- Bachelor's degree OR minimum 6 years of applicable data engineering and architecture experience.
- Minimum 4 years of professional experience in data engineering or advanced data analytics.
- Proven experience leading full-cycle data engineering/analytics projects.
- Proficiency in object-oriented programming and data structures.
- Skills in at least one core data engineering language (e.g., SQL, Python).
- Experience with ETL/ELT processes, pipeline orchestration, and data warehouse architecture.
- Hands-on experience with cloud-native tools (e.g., Azure, AWS, Google Cloud Platform, Power BI).
- Experience developing data models and infrastructure for business intelligence platforms.
Preferred Qualifications
- Master's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or related technical field.
- Familiarity with programming languages used in data analytics (e.g., R, DAX, M).
- Knowledge of DataOps, DevOps, and/or SecOps practices.
- Understanding of data security and privacy best practices.
- Experience using Agile/DevOps methodologies and project management tools.
$100,500.00 - $215,300.00 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.