Work Flexibility: Remote
As a Lead Data Engineer in our Endoscopy division youll 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
- Bachelors 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 GCP Power BI).
- Experience developing data models and infrastructure for business intelligence platforms.
Preferred Qualifications
- Masters 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.
$100500.00 - $215300.00 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 contractors legal duty to furnish information.
Work Flexibility: RemoteAs a Lead Data Engineer in our Endoscopy division youll 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...
Work Flexibility: Remote
As a Lead Data Engineer in our Endoscopy division youll 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
- Bachelors 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 GCP Power BI).
- Experience developing data models and infrastructure for business intelligence platforms.
Preferred Qualifications
- Masters 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.
$100500.00 - $215300.00 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 contractors legal duty to furnish information.
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