Senior Data Engineer: Scalable Data Pipelines

Stryker; Oregon; Remote; USD 90,000 - 180,000; Full time

Benefits offered by this job

Health benefits including medical and

401(k) plan

Employee Stock Purchase Plan (ESPP)

Life and AD&D insurance

Wellbeing program

Tuition assistance

Job summary

Stryker is seeking an Senior Data Engineer for its Customer Intelligence Data Engineering team in the United States (Oregon). The role focuses on delivering data transformations, building ETL pipelines, and documenting data assets.

You will gather requirements, partner with cross-functional teams, and communicate findings through reports and visuals. Qualified candidates have a Bachelor's degree and at least 2 years in data engineering or related fields, with proficiency in Python/SQL/Spark and

Qualifications

• Bachelor's degree in a related field and 2+ years of data engineering or analytics experience.
• Experience building and maintaining data pipelines and data integrations in cloud environments.
• Proficiency with Python, SQL or Spark and knowledge of ETL/ELT, data modeling, and data warehousing.

Responsibilities

• Translate business needs into scalable data engineering and data science solutions.
• Partner with cross-functional teams to understand requirements and deliver data-driven outcomes.
• Communicate technical concepts and findings to stakeholders through reports and visualizations.
• Apply data engineering best practices to solve complex problems and support decisions.
• Gather, document, and refine requirements for data products and platforms.
• Create and maintain documentation for data assets, pipelines, systems, and processes.
• Support design/implementation of data architecture, movement, and integration solutions.
• Contribute to continuous improvement for data quality, performance, and automation.

Skills

Python

SQL

Spark

Data pipelines

Cloud

ETL/ELT

Data modeling

OOP concepts

Education

Bachelor's degree

Tools

Databricks

Power BI

Job description

Stryker is seeking an Senior Data Engineer for its Customer Intelligence Data Engineering team in the United States (Oregon). The role focuses on delivering data transformations, building ETL pipelines, and documenting data assets.

You will gather requirements, partner with cross-functional teams, and communicate findings through reports and visuals. Qualified candidates have a Bachelor's degree and at least 2 years in data engineering or related fields, with proficiency in Python/SQL/Spark and