Senior Data Engineer (Fully Remote)

Stryker Corporation; United States; Remote; USD 110,000 - 140,000; Full time

Job summary

Stryker Corporation seeks a data engineer to translate business needs into scalable data engineering and data science solutions. You will partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.

You will communicate technical concepts and analytical findings to both business and technical stakeholders, supporting data-informed decisions across the organization.

Qualifications

• 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.
• Experience with Apache Spark, Databricks, Power BI, or similar big data technologies.
• Knowledge of infrastructure as code and cloud-native data architectures.

Responsibilities

• 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.

Skills

Python

SQL

Spark

ETL/ELT

Data warehousing

Cloud-based data pipelines

Education

Bachelor's degree in a quantitative field

Tools

Databricks

Power BI

Job description

• 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:

• 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 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.