Senior Data Engineer (Remote)

$75,300 - $156,900/Yr

Stryker - Weston, FL

Full-time - Mid Level

Remote - Weston, FL

Merchant Wholesalers, Durable Goods

About the position

As a Senior Data Engineer at Stryker, you will collaborate with data engineering and analyst teams to enhance and maintain the data management framework and infrastructure. This role involves applying data engineering concepts to support business growth, data science initiatives, and AI projects, while also developing technical documentation and scalable solutions in a cross-functional environment.

Responsibilities

• 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.

Requirements

• 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.)

Nice-to-haves

• 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.

Benefits

• 12 paid holidays annually
• Medical and prescription drug insurance
• Dental insurance
• Vision insurance
• Critical illness insurance
• Accident insurance
• Hospital indemnity insurance
• Personalized healthcare support
• Wellbeing program
• Tobacco cessation program
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSAs)
• 401(k) plan
• Employee Stock Purchase Plan (ESPP)
• Basic life and AD&D insurance
• Short-term disability insurance