Senior Data Engineer — Remote Data Pipelines

Stryker Corporation; Portage (MI); Remote; USD 89,000 - 193,000; Full time

Job summary

Stryker Corporation in the United States is seeking a Senior Data Engineer for the Customer Intelligence Data Engineering team. You will execute projects, gather requirements, and build ETL pipelines to enable data-driven decisions.

You will document data assets, collaborate with stakeholders, and apply best practices to improve data quality, scalability, and automation. This role offers remote work and travel up to 20%.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Minimum 2 years of data engineering, data architecture, or analytics engineering experience.
• Experience building and maintaining data pipelines and data solutions in cloud environments.
• Proficiency in Python, SQL, or Spark.
• Knowledge of ETL/ELT, data warehousing, and distributed processing.
• Masters/PhD preferred in quantitative field.

Responsibilities

• Translate business needs into scalable data engineering solutions.
• Partner with cross-functional teams to gather requirements and deliver data-driven outcomes.
• Build and maintain ETL/ELT pipelines and data integrations.
• Develop data dictionaries and technical documentation for data assets.
• Support data architecture design and data movement projects.
• Drive data quality, performance, and automation improvements.

Skills

Python

SQL

Apache Spark

ETL/ELT

Data pipelines

Cloud platforms (AWS/Azure/GCP)

Data modeling

OOP concepts

Communication with stakeholders

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD (preferred)

Tools

Apache Spark

Databricks

Power BI

IaC tools

Cloud platforms

Job description

Stryker Corporation in the United States is seeking a Senior Data Engineer for the Customer Intelligence Data Engineering team. You will execute projects, gather requirements, and build ETL pipelines to enable data-driven decisions.

You will document data assets, collaborate with stakeholders, and apply best practices to improve data quality, scalability, and automation. This role offers remote work and travel up to 20%.