Remote Senior Data Engineer - Cloud Pipelines & Analytics

Stryker Corporation; United States; Remote; USD 110.000 - 140.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Spark

ETL/ELT

Data warehousing

Cloud-based data pipelines

Ausbildung

Bachelor's degree in a quantitative field

Tools

Databricks

Power BI

Jobbeschreibung

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.