Senior Data Engineer (Remote)

Stryker Corporation; Portage (MI); Remote; USD 89,000 - 193,000; Full time

Job summary

Stryker Corporation in the United States is seeking a Senior Data Engineer for the Customer Intelligence Data Engineering team. You will execute projects, gather requirements, and build ETL pipelines to enable data-driven decisions.

You will document data assets, collaborate with stakeholders, and apply best practices to improve data quality, scalability, and automation. This role offers remote work and travel up to 20%.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Minimum 2 years of data engineering, data architecture, or analytics engineering experience.
• Experience building and maintaining data pipelines and data solutions in cloud environments.
• Proficiency in Python, SQL, or Spark.
• Knowledge of ETL/ELT, data warehousing, and distributed processing.
• Masters/PhD preferred in quantitative field.

Responsibilities

• Translate business needs into scalable data engineering solutions.
• Partner with cross-functional teams to gather requirements and deliver data-driven outcomes.
• Build and maintain ETL/ELT pipelines and data integrations.
• Develop data dictionaries and technical documentation for data assets.
• Support data architecture design and data movement projects.
• Drive data quality, performance, and automation improvements.

Skills

Python

SQL

Apache Spark

ETL/ELT

Data pipelines

Cloud platforms (AWS/Azure/GCP)

Data modeling

OOP concepts

Communication with stakeholders

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD (preferred)

Tools

Apache Spark

Databricks

Power BI

IaC tools

Cloud platforms

Job description

Work Flexibility: Remote

As a Senior Data Engineer on Stryker’s Customer Intelligence Data Engineering team, you will provide tactical execution and delivery of projects within the data engineering project portfolio. You will also help with requirements gathering for new data transformations, build ETL pipelines based on user/project requirements, and develop data dictionaries and other documentation needs for data assets.

What You Will Do

Translate business and stakeholder needs into scalable data engineering and data science solutions. Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes. Communicate technical concepts, project updates, and analytical findings to business and technical stakeholders through presentations, reports, and visualizations. Apply data engineering best practices to solve complex business problems and support decision-making. Gather, document, and refine business and technical requirements for data products, platforms, and solutions. Create and maintain technical documentation for data assets, pipelines, systems, and processes. Support the design and implementation of data architecture, data movement, and integration solutions that enable business growth and operational efficiency. Contribute to continuous improvement initiatives focused on data quality, performance, scalability, and automation.

What You Need

• Required Qualifications Bachelor's degree in Computer Science, Data Engineering, Data Analytics, Mathematics, Statistics, Data Science, Information Systems, or a related field.
• Minimum 2 years of professional experience in data engineering, data architecture, analytics engineering, or other data related disciplines.
• Experience developing and maintaining data pipelines, data integrations, and data solutions in cloud-based environments.
• Proficiency in at least one core data engineering language such as Python, SQL, or Spark.
• Experience working with object-oriented programming concepts and data structures.
• Knowledge of ETL/ELT development, data modeling, data warehousing, and distributed data processing.
• Preferred Qualifications Master's degree or PhD in Computer Science, Data Science, Engineering, Statistics, Mathematics, or another quantitative discipline.
• Experience with Apache Spark, Databricks, Power BI, or similar analytics and big data technologies.
• Knowledge of infrastructure as code (IaC) tools and cloud-native data architectures.
• Experience optimizing data pipelines, workflows, and distributed computing environments for performance and scalability.

Pay Ranges

• United States of America Pay Ranges: USN: $89,300 - $148,800 USD Annual
• United States of America Pay Ranges: US5: $93,800 - $156,200 USD Annual
• United States of America Pay Ranges: US10: $98,200 - $163,700 USD Annual
• United States of America Pay Ranges: US15: $102,700 - $171,100 USD Annual
• United States of America Pay Ranges: US20: $107,200 - $178,600 USD Annual
• United States of America Pay Ranges: US30: $116,100 - $193,400 USD Annual

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

Travel Percentage

Travel Percentage: 20%

Equal Opportunity Statement

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: www.stryker.com

Work Flexibility

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 to be onsite would be defined and agreed upon by your manager/supervisor.