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 and analytical findings to business and technical stakeholders.

What You Need:

Bachelor's degree in a quantitative field and minimum 2 years of data engineering experience.
Proficiency in Python, SQL, or Spark, with knowledge of ETL/ELT and data warehousing.
Experience developing data pipelines in cloud-based environments.

Preferred Qualifications:

Master's degree or PhD in a quantitative discipline.
Experience with Apache Spark, Databricks, Power BI, or similar big data technologies.
Knowledge of infrastructure as code and cloud-native data architectures.

Work Flexibility:

Remote role allowing you to work the majority to 100% of time from an alternate workplace.
Must work within the country of the job requisition location.

Stryker Corporation

Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.

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