Senior Data Engineer (Remote)

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

As aSenior DataEngineer on Stryker’s Customer Intelligence Data Engineering team, you will provide tactical execution and delivery of projects within the data engineering project portfolio.You will also help with requirements gathering for new data transformations, build ETL pipelines based on user/project requirements, and develop data dictionaries and other documentation needs for data assets.

What You Will Do:

• 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, project updates, and analytical findings to business and technical stakeholders through presentations, reports, and visualizations.
• Apply data engineering best practices to solve complex business problems and support decision-making.
• Gather, document, and refine business and technical requirements for data products, platforms, and solutions.
• Create and maintain technical documentation for data assets, pipelines, systems, and processes.
• Support the design and implementation of data architecture, data movement, and integration solutions that enable business growth and operational efficiency.
• Contribute to continuous improvement initiatives focused on data quality, performance, scalability, and automation.

What You Need:

Required Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Data Analytics, Mathematics, Statistics, Data Science, Information Systems, or a related field.
• Minimum 2 years of professional experience in data engineering, data architecture, analytics engineering, or other data related disciplines.
• Experience developing and maintaining data pipelines, data integrations, and data solutions in cloud-based environments.
• Proficiency in at least one core data engineering language such as Python, SQL, or Spark.
• Experience working with object-oriented programming concepts and data structures.
• Knowledge of ETL/ELT development, data modeling, data warehousing, and distributed data processing.

Preferred Qualifications

• Master's degree or PhD in Computer Science, Data Science, Engineering, Statistics, Mathematics, or another quantitative discipline.
• Experience with Apache Spark, Databricks, Power BI, or similar analytics and big data technologies.
• Knowledge of infrastructure as code (IaC) tools and cloud-native data architectures.
• Experience optimizing data pipelines, workflows, and distributed computing environments for performance and scalability.

United States of America Pay Ranges:

• USN: $89,300 - $148,800 USD Annual
• US5: $93,800 - $156,200 USD Annual
• US10: $98,200 - $163,700 USD Annual
• US15: $102,700 - $171,100 USD Annual
• US20: $107,200 - $178,600 USD Annual
• US30: $116,100 - $193,400 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.