Work Flexibility: Remote

As the Sr. Data Engineer, you will work with data engineer and analyst teams to continuously improve and maintain our data management framework and infrastructure.

What you will do

• Apply fundamental and intermediate concepts of data engineering and data architecture to support the growth and changing needs of the business
• Apply fundamental and intermediate concepts of data transformation & modeling, programming, and statistical & predictive analytics to support data science and AI initiatives
• Develop and maintain requirements gathering and technical documentation for key systems and data assets and translate stakeholder requirements into technical requirements with some guidance.
• Contribute to discussions on identifying opportunities in data architecture, data science, and engineering to enable business opportunities with key stakeholders.
• Collaborate with cross-functional teams to identify, support, and create scalable solutions.
• Investigate and implement new data engineering methods to support the needs of the business.
• Build and deliver presentations and user trainings that explain critical functions and findings to stakeholders with some guidance.

What you need​

Required:

• Bachelor's Degree in computer science, data analytics, mathematics, statistics, data science or related field with applicable data engineering & architecture work experience or 6 years data engineering and architecture work in lieu of degree.
• 2+ years data engineer, data architecture, database administration, data science, information services, or related experience.
• SQL development experience.
• Experience with ETL/ELT optimization, data transformation, cleansing, & data store/warehouse/database concepts.
• Experience with business intelligence, analytics platforms (ex. Power BI, Tableau, etc.).

Preferred:

• Master's Degree or PhD in Computer Science or quantitative discipline.
• Experience with common data programming languages (e.g., SQL, Python, R, Power FX, DAX, M).
• Experience with Azure tools, database, and data warehouse technologies (e.g., Power Platform (Power Apps, Power BI, Power Automate), SQL Server, Azure Synapse, Data Factory, Databricks).
• Experience with machine learning concepts and AI models (e.g. GPT-4, BERT, NLP, forecasting)
• Experience with use of Agile and DevOps methods to deliver projects and maintain data solutions and using Github for versioning control.

$75,300 - $156,900 salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. 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.