Overview
Remote
On Site
USD 69,100.00 - 107,400.00 per year
Full Time
Skills
Requirements Elicitation
Documentation
Customer Intelligence
Technical Writing
Data Governance
Data Quality
Problem Solving
Conflict Resolution
Root Cause Analysis
Collaboration
Data Architecture
Workflow
Scalability
Data Analysis
Mathematics
Statistics
Data Science
Data Engineering
SQL
Python
Apache Spark
Extract
Transform
Load
ELT
Data Warehouse Architecture
Object-Oriented Programming
Data Structure
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Computer Science
Agile
DevOps
Version Control
GitHub
GitLab
Cloud Computing
Data Storage
Distributed Computing
Legal
Job Details
Work Flexibility: Remote
As a Data Engineer on Stryker's Customer Intelligence Data Engineering team, you will assist in providing 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
What You Will Need
Required Qualifications:
Preferred Qualifications:
$69,100.00 - $107,400.00 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors.
Posted On: December 3, 2025.
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 Data Engineer on Stryker's Customer Intelligence Data Engineering team, you will assist in providing 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
- Assist in executing data engineering projects within the Customer Intelligence portfolio to meet defined timelines and deliverables.
- Gather and document requirements for new data transformations and ensure alignment with business objectives.
- Build and maintain ETL pipelines based on user and project specifications to enable reliable data movement.
- Develop and update technical documentation for key systems and data assets.
- Work with the Data Governance team on developing data dictionaries and other data quality tools.
- Support problem-solving by performing root cause analysis and evaluating potential solutions against requirements.
- Collaborate with cross-functional teams to ensure data architecture supports business opportunities.
- Monitor and optimize workflows and pipelines for efficiency and scalability.
What You Will Need
Required Qualifications:
- Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or related field.
- Competency in at least one programming language used in data engineering (e.g., SQL, Python, Spark).
- Familiarity with ETL/ELT processes, pipeline creation, and data warehouse architecture.
- Understanding of object-oriented programming and data structures.
- Basic knowledge of cloud platforms and tools (e.g., Azure, AWS, Google Cloud Platform).
Preferred Qualifications:
- Master's degree in Computer Science.
- Exposure to Agile/DevOps practices and version control tools (e.g., GitHub, GitLab).
- Familiarity with infrastructure-as-code and cloud-native tools for data storage and distributed computing.
$69,100.00 - $107,400.00 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors.
Posted On: December 3, 2025.
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.
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