Senior Data Engineer (Remote)

Stryker; Flower Mound (TX); A distancia; USD 130.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

401(k) plan

Employee Stock Purchase Plan

Wellbeing program

Life and disability insurance

Descripción de la vacante

Stryker is seeking a Senior Data Engineer to drive and deliver data engineering projects on the Customer Intelligence Data Engineering team. You will translate business needs into scalable data solutions, build ETL pipelines, and create documentation to support data assets and governance.

Responsibilities include collaborating with cross-functional teams, presenting findings to stakeholders, and enhancing data quality and performance across platforms.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Spark

OOP concepts

ETL/ELT

Data modeling

Data warehousing

Distributed data processing

Educación

Bachelor's degree in Computer Science or related field

Master's degree or PhD (preferred)

Herramientas

Apache Spark

Databricks

Power BI

IaC tools

Descripción del empleo

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.

Posted Date: 10/07/2026
This role will be posted for a minimum of 3 days.

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.