Data Engineer (Remote)

October 15, 2024

We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you 12 paid holidays annually. For an overview of our benefits and time off, please follow this link to learn more:US Stryker employee benefits.

As a Data Engineer, you will design and support enterprise-wide data engineering architecture for the customer solutions organization, enabling teams to deliver data-driven solutions across Styker. You'll gather requirements, build ETL pipelines, and create documentation for data assets, while troubleshooting and leveraging industry-leading tools to solve complex problems. This role will be pivotal in transitioning from legacy systems to cloud platforms like Databricks, providing an exciting opportunity to implement cutting-edge technology and best practices.

This is a fully remote role. Candidates located in the Eastern Time Zone or with availability to work Eastern Time Zone hours are preferred.

What you will do

Understand and capture stakeholder requirements, timing, and scope in Azure DevOps.
Support collaboration efforts with partners across functions.
Participate in presentations and communications to the business and stakeholders.
Support problem solving, root cause analysis, identify potential solutions, and evaluate them against requirements.
Participate in requirements gathering documentation, needs assessments, and development/maintenance of technical documentation for key systems and data assets with guidance.
Able to participate in discussions on identifying opportunities in data architecture and movement to enable business opportunities with key stakeholders.
Consistently and frequently communicate project status and updates.
Participate in the building of project roadmaps.

What you need

Require

Bachelor's Degree or higher in computer science, data analytics, mathematics, statistics, data science or related field and/or equivalent applicable data engineering & architecture work experience.

Competent in least one programming language central to Data Engineering (e.g. SQL/Python/Spark/R/Scala).
Experience in object-oriented programming, data structures, and workflow optimization, including pipelines and algorithms.
Experience with cloud-native tools for data storage, distributed computing, BI, and infrastructure as code (e.g., Apache Spark, Azure, Databricks), as well as ETL/ELT and pipeline orchestration.

Preferred

Master's Degree or PhD in Computer Science or data discipline.
Knowledge in DataOps, DevOps, SecOps, and Agile/DevOps methodologies, including version control using GitHub/GitLab and infrastructure as code.

Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.

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